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[mitsumi1]

Complete Introduction to Excel Power Pivot
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.99 GB
Genre: eLearning Video | Duration: 55 lectures (3 hour, 48 mins) | Language: English
Quickly learn to create data models, relationships & DAX formulas & work with over a million rows in Microsoft Excel

What you'll learn

Learn to use Power Pivot in Excel for powerful data analysis
Work with millions of rows of data, create relationships between tables and learn the DAX formula language
Have a COMPREHENSIVE understanding of creating data models in Excel
Create calculated fields and calculated measures using DAX in Excel
Perform SOPHISTICATED calculations such as Time Intelligence, Filtered Data and Segmentation
Create RELATIONSHIPS between tables of data
Analyze data using Pivot Tables and Pivot Charts

Requirements

You will require Excel 2016 or above or Office 365 Excel for Windows
You should be able to work with data in Excel and do basic reporting
You will require the Excel Power Pivot licence

Description

With Excel's impressive Power Pivot, you can import millions of rows of data, create mashups from different data sources and build sophisticated data models with ease. This allows you to analyse your data and share insights with just a few clicks of your mouse. If you are eager to learn about Excel's Power Pivot without sitting through days of training, this is the course for you.

WHAT STUDENTS ARE SAYING:

"This course opened my eyes to new ways to use Power Pivot. There is so much information packed into this course. Thank you for a great course. Now, on to your Power Query course!"

"A great set of content about DAX functions & Power Pivot. Easy to learn content & great way of explaining the Excel formulas."

"Great course, especially if you have some knowledge already with excel or Power BI, easy to follow and goes in the right amount of detail."

WHAT YOU CAN EXPECT:

Introduction and Course Content

Power Pivot & the Data Model

Power Pivot & Pivot Tables

Creating Calculated Columns - Basic calculations, using date fields and date tables

Creating Measures - Aggregation measures, the =Calculate formula, the All and AllExcept formula and Time Intelligence

Case Studies

Creating Relationships between tables and using relationship calculations

Using KPIs visualizations in the data model

Creating and using hierarchies

ABOUT THE TRAINER

Ian Littlejohn has been a top-rated trainer on the Udemy platform for over 5 years and has more than 10 years' experience in training & management consulting. He specialises in Data Analysis, covering Excel, Power BI, Google Data Studio and Amazon Quicksight.

Ian has over 88,000 students and 24,000 reviews. He has a reputation for delivering excellent, logically structured courses which are easy to follow and get the point across without wasting learners' time.

WHY YOU SHOULD SIGN UP:

Learners buying this course get:

Full access to 4 hours of HD quality video

5 downloadable resources and 10 articles

Lifetime access

Money-back guarantee (see Udemy terms and Conditions)

Certificate of completion upon course conclusion

We look forward to having you on the course!

DATA ANALYSIS COURSES ROADMAP:

You can see all of Ian's other Data Analysis courses by searching for his name on Udemy.

Excel

Complete Introduction to Excel Pivot Tables and Pivot Charts

Complete Introduction to Excel Power Pivot

Complete Introduction to Excel Power Query

Excel Interactive Dashboards and Data Analysis

Complete Introduction to Business Data Analysis

Tables and Formulas with Excel [2020 Edition]

Power BI

Complete Introduction to Microsoft Power BI [2020 Edition]

Power BI Master Class - Query Editor [2020 Edition]

Power BI Master Class-Data Models and DAX Formulas 2020

Power BI Master Class - Dashboards and Power BI Service 2020

Introduction to Data Analysis with Microsoft Power BI

Google Data Studio

Complete Introduction to Google Sheets Pivot Tables

Complete Introduction to Google Data Studio 2020 Edition

Google Analytics Reports and Dashboards with Data Studio

Who this course is for:

Excel users who want to learn how to use the Power Pivot Data Model
Excel users who want to learn how to use the DAX formula language

Download link:

rapidgator_net:
https://rapidgator.net/file/2df614ede440d0651612e0aa3b0cb1a0/johsb.Complete.Introduction.to.Excel.Power.Pivot.rar.html

nitroflare_com:
https://nitroflare.com/view/83BFFAFA0D2C76C/johsb.Complete.Introduction.to.Excel.Power.Pivot.rar

alfafile_net:
http://alfafile.net/file/8xBGu/johsb.Complete.Introduction.to.Excel.Power.Pivot.rar

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[mitsumi1]

Complete Introduction to Excel Power Query
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.37 GB
Genre: eLearning Video | Duration: 37 lectures (2 hour, 22 mins) | Language: English

Quickly & effectively learn to transform and prepare data for Microsoft Excel using Power Query

What you'll learn

Learn how to use Excel Power Query to CONNECT and TRANSFORM data in Excel
Have a COMPREHENSIVE understanding of connecting and transforming data using Excel 2016
Load data into Excel from multiple DIFFERENT SOURCES such as SQL Server, CSV, XML, JSON and SQL Analysis Services
Transform data by filtering, changing data types, removing columns and performing BASIC transformations
Perform ADVANCED transformation such as Merging, Appending, Unpivoting, Grouping and custom calculations
Learn to CLEAN data and LOAD data using parameters
Lifetime access to course materials and practice activities from an experienced Udemy instructor

Requirements

You should be able to work with data in Excel and do basic reporting
Excel 2016 or above

Description

Most people spend the majority of their analysis time preparing their data. With Power Query, acquiring, transforming and preparing data becomes faster & simpler. If you're tired of spending HOURS on preparing your data and want to learn how to get your data into Excel and ready for analysis in an efficient way, this is the right course for you. And now updated in June 2020, with improved content and updated information.

WHAT STUDENTS ARE SAYING:

"Love the instructor! The explanations behind each concept enable me to understand not only what I am doing but WHY I am doing it."

"I liked this course because it was focused and short. I completed it in a few hours and I really learned a lot about Power Query. I immediately signed up for four more courses. The course exceeded my expectations."

"A huge learning experience; it opened my eyes to things I can do that I didn't know existed. Much appreciated and a big THANK YOU!"

WHAT YOU CAN EXPECT:

Introduction and Course Content

Basic Data Transformations - Learn about filtering data, changing data types, adding new columns and removing columns

Advanced Data Transformations - Merging data into one table, Appending data, Grouping data, conditional rules and custom fields

Data Cleansing - Techniques and skills to clean up your data

Connecting to Data Sources - Learn how to connect and access data from a variety of different data sources including, files, databases, web URL and SQL Analysis Services

ABOUT THE TRAINER

Ian Littlejohn has been a top-rated trainer on the Udemy platform for over 5 years and has more than 10 years' experience in training & management consulting. He specialises in Data Analysis, covering Excel, Power BI, Google Data Studio and Amazon Quicksight.

Ian has over 88,000 students and 24,000 reviews. He has a reputation for delivering excellent, logically structured courses which are easy to follow and get the point across without wasting learners' time.

WHY YOU SHOULD SIGN UP:

Learners buying this course get:

Full access to 2.5 hours of HD quality video

7 downloadable resources and 7 articles

Lifetime access

Money-back guarantee (see Udemy terms and Conditions)

Certificate of completion upon course conclusion

We look forward to having you on the course!

DATA ANALYSIS COURSES ROADMAP:

You can see all of Ian's other Data Analysis courses by searching for his name on Udemy.

Excel

Complete Introduction to Excel Pivot Tables and Pivot Charts

Complete Introduction to Excel Power Pivot

Complete Introduction to Excel Power Query

Excel Interactive Dashboards and Data Analysis

Complete Introduction to Business Data Analysis

Tables and Formulas with Excel [2020 Edition]

Power BI

Complete Introduction to Microsoft Power BI [2020 Edition]

Power BI Master Class - Query Editor [2020 Edition]

Power BI Master Class-Data Models and DAX Formulas 2020

Power BI Master Class - Dashboards and Power BI Service 2020

Introduction to Data Analysis with Microsoft Power BI

Google Data Studio

Complete Introduction to Google Sheets Pivot Tables

Complete Introduction to Google Data Studio 2020 Edition

Google Analytics Reports and Dashboards with Data Studio

Who this course is for:

Excel users who want to learn how to IMPORT and TRANSFORM data in Excel
Learners who want to learn ADVANCED techniques for preparing data for analysis

Download link:

rapidgator_net:
https://rapidgator.net/file/b469685ae5bf3d76b2bb2874cdc03335/5kv8v.Complete.Introduction.to.Excel.Power.Query.rar.html

nitroflare_com:
https://nitroflare.com/view/EEB688F7E6C903C/5kv8v.Complete.Introduction.to.Excel.Power.Query.rar

alfafile_net:
http://alfafile.net/file/8xBzW/5kv8v.Complete.Introduction.to.Excel.Power.Query.rar

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[mitsumi1]

Complete Introduction to Google Data Studio 2020 Edition
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.74 GB
Genre: eLearning Video | Duration: 69 lectures (5 hour, 34 mins) | Language: English
Learn how to create POWERFUL data analysis and dashboards with Google Data Studio for your Google Sheets

What you'll learn

Learn from an Instructor with over 10 years teaching Data Analysis and Dashboard Design
Create POWERFUL Interactive Dashboards from Google Sheets Data in Minutes
Analyze Google Sheets in MINUTES using powerful visualizations
Create Year to Date, Month to Date, Week to Date Calculations with the click of the mouse
Learn to SHARE and COLLABORATE using Reports and Dashboards of data
Create powerful SCORECARDS displaying Key Metrics and KPIs
Create TIME SERIES graphs that easily display Month to Date, Previous Month and many more
Display COMPARISONS to Previous Periods
Create FILTERS to easily create interactive dashboards, graphs and reports
Learn powerful VISUALIZATIONS such as Column, Bar, Pie, ScatterDescription

Requirements

You will need a Google Account
You will need access to Google Sheets
You will need access to Google Data Studio

Description

**** Updated July 2020 - this bestselling Udemy course has been updated ****

Recent reviews:

"Excellent systematic explanation by the instructor."

"I am very happy with the content and delivery of this course. Ian, you did a great job!"

"Very nice course, highly recommended. I passed from zero to do the most complicated dashboard at the agency I work in, involving complex filters and data consolidation of big databases. Thanks for all your support"

In this course you will learn the BEST techniques and tools for turning data into MEANINGFUL analysis using Google Data Studio

This course is lead by Ian Littlejohn - an international trainer, consultant and data analyst with over 95 000 enrollments on Udemy and consistently high reviews. Ian specialises in teaching data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI and Google Data Studio.

**** Life time access to course materials and practice activities. 100% money back guarantee ****

In this course we are going to show you how to SUPERCHARGE your Google Sheets into Interactive Dashboards and INCREDIBLE reports. Google Data Studio works seamlessly with your Google Sheets data to create amazing data analysis in minutes.

Google Data Studio is an incredibly easy to use drag and drop tool that allows a multitude of different visualizations to be created in minutes. The addition of filtering tools produces stunning reports that will take your data analysis to the next level.

Google Data Studio is available free to people with a Google or Gmail account.

In this course we are going to teach you the following:

How to connect Data Studio to Google Sheets

Learn how to calculate Averages, Highest values, Lowest Values and number of Unique Values

Create Scorecards to display key metrics and KPIs

Create powerful trend analysis graphs to help with forecasting

Create Year to Date, Month to Date and Previous Month calculations with the click of a mouse button

Learn to gain powerful analysis from Stacked Bar and 100% graphs

Create powerful Time and Category filters to easily create interactive reports

Learn to share your Reports and Dashboards with other users

Google Data Studio is truly an amazing product for creating insight and intelligence from your Google Sheets data.

Who this course is for:

Google Sheets users and Excel users who want to learn how to use Google Data Studio to analyze and report data

Download link:

rapidgator_net:
https://rapidgator.net/file/3d16a54d6e1c197fda82d4109a7ecd0f/k7h9u.Complete.Introduction.to.Google.Data.Studio.2020.Edition.rar.html

nitroflare_com:
https://nitroflare.com/view/8CCCB0B24EA34F9/k7h9u.Complete.Introduction.to.Google.Data.Studio.2020.Edition.rar

alfafile_net:
http://alfafile.net/file/8xBuD/k7h9u.Complete.Introduction.to.Google.Data.Studio.2020.Edition.rar

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[mitsumi1]

Complete Introduction to Google Sheets Pivot Tables
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.81 GB
Genre: eLearning Video | Duration: 58 lectures (3 hour, 25 mins) | Language: English

Learn how to create powerful Pivot Tables and Graphs using Google Sheets

What you'll learn

Learn to create POWERFUL PIVOT TABLES in Google Sheets in minutes
Lifetime access to course material and practice activities from an experienced Udemy instructor
Learn powerful methods of analysis to turn your data into INSIGHT and INTELLIGENCE
Learn to create Google Sheet GRAPHS from Pivot Table data with a few clicks of the mouse
Create CUSTOM calculations that can be added to your Pivot Tables TRANSFORMING the analysis of your data
Create CUSTOM GROUPINGS of data to display your data in new ways
Learn conditional formatting to HIGHLIGHT the key information in your data

Requirements

Access to a Google account and Google Sheets
Using spreadsheets - Google Sheets or Excel

Description

**** Lifetime access to course materials and practice activities. ****

This course is presented by Ian Littlejohn - who with over 75 000 students, is one of the most popular instructors on Udemy. Ian provides world leading courses on Excel, Power Pivot, Power BI and Google Data Studio.

Google Sheets offers many of the features of traditional spreadsheet products & is becoming an extremely popular tool for data analysis and reporting. Google Sheets makes it easy to setup and share data and information within the cloud.

In this course we explore one of the most POWERFUL features of Google Sheets which is Pivot Tables. You will learn how to EASILY create powerful Pivot Tables and Graphs using a FEW CLICKS of the mouse.

This course is primarily for people who want to learn how to get Google Sheets to do the work for them, without haivng to write complicated formulas or functions to achieve data analysis.

This course will achieve the following:

Learn to CORRECTLY STRUCTURE your data

Create Pivot Tables to SUMMARIZE and AGGREGATE your data

Using Different Methods of Calculation - Sum,Count, Unique Count, Average, Median, Max, Min

Create your own POWERFUL custom calculations

Create Time / Trend Analysis

Time / Trend Analysis graphs

FILTER and ASK QUESTIONS of your data

Contribution Analysis - percentages

Contribution Analysis - graphs

Analyze Human Resource data - Create powerful reports

Learn to GROUP Age and Salary data

Apply CONDITIONAL FORMATTING to data

Who this course is for:

Google Sheet users who want to learn Pivot Tables
Excel users who want to learn how to use Google Sheets
Google Sheets users who want to learn to analyze and report data

Download link:

rapidgator_net:
https://rapidgator.net/file/c377e673a3c021fa48111e544855f3e7/rmix8.Complete.Introduction.to.Google.Sheets.Pivot.Tables.rar.html

nitroflare_com:
https://nitroflare.com/view/AA7CC7B373AC0E1/rmix8.Complete.Introduction.to.Google.Sheets.Pivot.Tables.rar

alfafile_net:
http://alfafile.net/file/8xBZ9/rmix8.Complete.Introduction.to.Google.Sheets.Pivot.Tables.rar

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[mitsumi1]

Complete Introduction to Microsoft Power BI [2020 Edition]
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 2.69 GB
Genre: eLearning Video | Duration: 81 lectures (6 hour, 29 mins) | Language: English
A comprehensive guide on how to import, transform & visualise data with Power BI, with practical exercises & case study.

What you'll learn

Enjoy CLEAR and CONCISE step by step lessons from a best selling Udemy instructor
Learn to create POWERFUL reports and dashboards with Microsoft Power BI with a few clicks of the mouse
Gain valuable INSIGHT and INTELLIGENCE from your business and marketing data in a FRACTION of the time of traditional spreadsheets
PUBLISH reports and dashboards on the Internet and view using laptops, tablets or smartphones in minutes
Learn to create Data Models and use the DAX Formula language to develop POWERFUL calculations
Easily create a wide range of GRAPHS and VISUALISATIONS using drag and drop technologies
Use the Power BI Q & A feature to easily ask QUESTIONS of your data and provide new insight

Requirements

You will need to know the basics of working with data in Excel
In the course you will need a work email address to sign up for the free Microsoft Power BI service
Download the Power BI Desktop app which is available free from Microsoft for Windows

Description

If you are new to Power BI or want to fill in some gaps in your knowledge, THIS is the course for you. We've focused on providing you with the fundamentals you need to work with Power BI effectively! Don't sit through days of boring training to understand how Power BI works! This course will get you up to speed and working in half the time, giving you the crucial foundation to start you on the journey to becoming a Power BI expert.

This course has been updated for 2020 so you will learn on the latest Power BI interface. Students who have taken this course have this to say:

"Amazing and captivating course! I have started it with a zero knowledge about Power BI. Now I feel very comfortable and knowledgeable to use it. Thank you for the great course. Highly recommended!"

"Best course content and trainer I have had. Can translate the new skills learnt directly into my role and elevate our business. Thank you"

"This was a very informative course even though I was already a user of Power BI and had followed another course previously. Enjoyed it and learnt a lot which will be useful in my day to day work! Thank you Ian "

WHAT YOU CAN EXPECT:

Understand the flow of using Power BI, from connecting to various data sources, importing these into Power BI, transforming the data and then presenting it effectively

Learn how to use Power BI Desktop, Power BI Query Editor & the Power BI Service

Learn how to create relationships between related data sources

Learn how to build reports with various types of aggregations and filters

Learn about the various types of visualizations possible in Power BI and how to use them

Learn how to create interactive dashboards with drill throughs and relative date filters

Learn how to publish dashboards to the web and mobile app

Learn how to use themes and custom visualizations

Learn about DAX and how to use it to build measures

Learn how to work with Excel & Power BI to create a dynamic and effective business solution

Learn how to put this all into practice with a case study about the Corona Virus.

REQUIREMENTS:

You will need to have a PC/Windows laptop loaded with the latest version of Microsoft Power BI (available as a free download). Note that Power BI does not currently run natively on a Mac.

Whilst this course is designed to cover Power BI from the ground up, some experience of working with data in Excel would be beneficial.

ABOUT THE TRAINER:

Ian Littlejohn has been a top-rated trainer on the Udemy platform for over 5 years and has more than 10 years' experience in training & management consulting. He specialises in Data Analysis, covering Excel, Power BI, Google Data Studio and Amazon Quicksight.

Ian has over 88,000 students and 24,000 reviews. He has a reputation for delivering excellent, logically structured courses which are easy to follow and get the point across without wasting learners' time.

You can see all of Ian's other Data Analysis courses by searching for his name on Udemy.

WHY YOU SHOULD SIGN UP:

Learners buying this course get:

Full access to almost 7 hours of HD quality video

5 downloadable resources and 13 articles

Lifetime access

Money-back guarantee (see Udemy terms and Conditions)

Certificate of completion upon course conclusion

COURSE ROADMAP:

This course will take you from beginner to intermediate level. Look out for Ian's follow on courses to take your skills onto the next level!

Power BI Master Class - Query Editor [2020 Edition]

Power BI Master Class-Data Models and DAX Formulas 2020

Power BI Master Class - Dashboards and Power BI Service 2020

Introduction to Data Analysis with Microsoft Power BI

We look forward to having you on the course!

Who this course is for:

All Excel users who work with data, reports or dashboards
All existing Business Intelligence developers and users
Business users who need to create Power BI reports

Download link:

rapidgator_net:
https://rapidgator.net/file/a07d8b9f01b5d5cb115cf684ef4404f1/510do.Complete.Introduction.to.Microsoft.Power.BI.2020.Edition.rar.html

nitroflare_com:
https://nitroflare.com/view/4FF181E948E215F/510do.Complete.Introduction.to.Microsoft.Power.BI.2020.Edition.rar

alfafile_net:
http://alfafile.net/file/8xBz5/510do.Complete.Introduction.to.Microsoft.Power.BI.2020.Edition.rar

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[mitsumi1]

Complete Magic MASTERCLASS: Amaze People With Magic Tricks!
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.53 GB
Genre: eLearning Video | Duration: 37 lectures (1 hour, 59 mins) | Language: English
World-Class Magic Tricks by an Award-Winning Magician: Learn Card Magic and Crazy Tricks and Astonish People Right Away!

What you'll learn

Perform amazing tricks and astonish people right away.
Perform magic anywhere with all sorts of objects.
Make a chosen card appear anywhere such as a lemon!
Construct your own tricks and routines.
Come up with original presentations to suit your personality.
Learn to design your performance in order to generate crazy reactions from your audience.
Make any small object vanish and reappear in all sorts of fun and creative ways.
Handle a deck of cards as a complete pro.
Professional level magic tricks.

Requirements

Absolutely nothing - if you are willing to impress and astonish people and want to be able to perform tiny miracles in a matter of minutes, this is for you!

Description

The place to learn magic in no time, perform in every setting, and get crazy reactions.

Have you ever wanted to learn magic, be more confident in social situations, or have a few tricks you can use at a party?

I created this course in order to take you from whatever level you are at to an advanced stage where you can perform magic anywhere and anytime, create your own original tricks, presentations and routines, and get amazing reactions with whatever you have on you.

This is your chance to learn everything from one source, an award-winning magician, without having to spend hours online trying to find videos which match your level. The best part is: you can start performing right after watching the first video, and most of the material you will be able to do with close to no practice and start amazing people today!

I believe magic can have a place in almost everyone's life, and I will teach you the proper way to perform in no time, with no practice, and seem like an absolute professional.

What's included?

There is two hours of content guiding you through all the key areas of magic in order for you to perform in any setting. There is an abundance of theory videos, so you can understand what makes a trick deceptive and how to make it more powerful and get more reactions, as well as other topics such as misdirection or coming up with original presentations. I have also included live performances, so you can watch the nuances and details we discuss in the videos in action and see the amazing reactions which these tricks get! There is also a bonus Facebook group, so you can keep learning and discussing magic for free with myself and other students. All of the tricks are recorded with proper lighting and great HD quality.

THIS COURSE WILL SHOW YOU HOW TO:

Perform amazing tricks and astonish people right away

Make a chosen card appear anywhere such as a lemon!

Perform magic anywhere with all sorts of objects

Construct your own tricks and routines

Come up with original presentations to suit your personality

Learn to design your performance in order to generate crazy reactions from your audience

Make any small object vanish and reappear in all sorts of fun and creative ways

Handle a deck of cards as a complete pro

Professional level magic tricks

YOU WILL ALSO GET ACCESS TO:

A private Facebook group to keep learning and discussing magic for FREE

An amazing extra secret which gets surreal reactions and is super easy to perform

Magic is an amazing way to connect with anyone. No one can act indifferently to a moment of impossibility because it resonates with the very core of our human essence. This art form has brought me amazing adventures, stories, and anecdotes ranging from all sorts of settings: from receiving a standing ovation performing in a theater with over 800 people to getting ridiculous tips in an esoteric bar in Japan to performing with artists of global recognition such as the Spin Doctors or Jackson Browne or simply making people entertained for a few short minutes. It is such a grateful art form which allows you to come across as a complete pro and perform stunning effects in a matter of minutes and you have to take advantage of this.

Magic can truly be used in any situation and I genuinely believe that it has a place in everyone's life.

I have tones of stories of students shocking all sorts of people and I can't wait to hear all of your fantastic anecdotes.

So excited to see you succeed!

See you inside!

Sergio.

Who this course is for:

Anyone who wants to become the life of any social setting.
Beginner or aspiring magicians who wish to go from the basics to great advanced material.

Download link:

rapidgator_net:
https://rapidgator.net/file/7501158ff566c620901b08f105a80852/mjx6d.Complete.Magic.MASTERCLASS.Amaze.People.With.Magic.Tricks.rar.html

nitroflare_com:
https://nitroflare.com/view/992B52CD36DF666/mjx6d.Complete.Magic.MASTERCLASS.Amaze.People.With.Magic.Tricks.rar

alfafile_net:
http://alfafile.net/file/8xBAv/mjx6d.Complete.Magic.MASTERCLASS.Amaze.People.With.Magic.Tricks.rar

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[mitsumi1]

Creating Layouts with CSS Grid
.MP4, AVC, 1280x720, 30 fps | English, AAC, 2 Ch | 1h 41m | 205 MB
Instructor: Matt Henry

Coding web layouts has never been easy until now. This course will teach you CSS Grid, a technology to define rational layouts for your websites that is finally ready to go mainstream.

Layouts in CSS have always depended on hacks. Getting the look you want has meant pushing CSS to its limits using floats, HTML, and positioning tricks in unconventional ways. In this course, Creating Layouts with CSS Grid, you'll learn how to use the brand new CSS Grid system to solve layout problems once and for all. First, you'll discover why CSS Grid is a better way to do layout. Next, you'll get up and running with the minimum necessary code to start using CSS Grid. Finally, you'll explore the CSS Grid specification thoroughly, learning how to create any layout you can dream of. When you're finished with this course, you'll have a solid understanding of this critical technology needed to create modern, robust, and responsive layouts for the web.

Download link:

rapidgator_net:
https://rapidgator.net/file/80c766e0d015befab1c7329b08f0ef4a/sowc0.Creating.Layouts.with.CSS.Grid.rar.html

nitroflare_com:
https://nitroflare.com/view/4A1DC5094561324/sowc0.Creating.Layouts.with.CSS.Grid.rar

alfafile_net:
http://alfafile.net/file/8xXTy/sowc0.Creating.Layouts.with.CSS.Grid.rar

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[mitsumi1]

Data Science and Data Analysis with Python with Exercises
Duration: 43m | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 240 MB
Genre: eLearning | Language: English
Learn Data Science and Data Analysis with Python and Libraries. Such as Numpy, Pandas, MatDescriptionlib with exercises.

What you'll learn
Using Python with Data Science
Using Python with Data Analysis
Numpy, MatDescriptionlib, Pandas
Visualizing the Data
Cleaning the Data
Computing Statistics
Creating Variables
Solving Problems
Exercises

Requirements
No

Description
WHAT IS DATA SCIENCE

As the world is progressing in science and technology, there is an enormous increase in the need for advanced tools to store information and mine data that is being produced indefinitely. And the key to this problem is data science. Data science is a field of study that develops scientific and systematic methods to record, process and analyze data to withdraw significant and useful information that can be both structured and unstructured. Unstructured data is the one that is generated by mobile devices and websites while structured data is an organized data which is mostly generated by the users e.g. emails, chats, telephone calls etc. Data science uses scientific methods and algorithms to extract knowledge. Industries require the use of this field immensely and the industrialists now realize the value of data science and the benefits it can provide to the business, thus, it has become very popular currently.

The need for data science

An immediate question that rises in the mind after hearing about data science is why is there a need to dig into depths for such a tool? So, it's important to understand that previously the data produced used to be structured and thus it was somehow easy to extract the meaningful information and process it. However, contemporarily the data that is being produced is mostly unstructured as there are multiple sources of its generation such as multimedia files, logs, documents etc. and data science provides aid in turning raw data into consequential one.

Human brains possess the intelligence to perceive things as they are i.e. processing the information that we see and store it. It is just a power that we humans have and because we are doing it constantly without any deliberate effort, it is trivial to us. However, parallel to this brilliant power that we hold, it is also to have a clear understanding of the fact that it is limited. Human brain is also prone to forgetting, and impeding memory, perceptions and predictions. Here, the computer's prowess proves to be helpful. With the advance improvement in technology, we are now able to leave our locations through our smartphones for example uber that makes our traveling so much convenient, our movements can be tracked easily, our online behaviors and patterns of search are constantly being recorded through our acceptance of cookies, the steps we take during a day can be tracked by the help of some specific apps, even our health can be tracked. All of this is possible due to the invention of technology, softwares and the ability to record and process information adequately. Our information is being stored and without us even noticing. This tracking ability is not only applicable on the people sitting at home, but government agencies, stock markets, civil officers, intelligence agencies, business owners are all the concerned parties and is useful for each one of the occupations. Data science is used in providing systematic methods to give useful insights from the enormous data that is being generated. Therefore, data science is indeed important.

Other than the general importance, data science is extremely beneficial to the business in numerous ways:

· It provides immense help in decision taking. As discusses, data science analyzes the data in a proper way to solve the problems arising in the business by providing healthy opportunities and unleashing ideas to remove the threats creating issues for the business. It foresees the trends that might surface in the future.

· Data science helps in the business to flourish by improving the product in every which way possible. By tracking the patterns of the consumer's purchase and knowing about the likes and dislikes, the managers will know what improvisations are required, what kind of product is outdated and what basically is the trend prevailing. Also, by tracing the online trends, the business will be better able to identify the wants of the consumers and produce accordingly to satisfy their needs in an ample manner.

· Similarly, the business will be able to be managed efficiently. Due to the help of data science, the owners will be able to understand the needs of the customers in better way and this will lead to increasing the number of customers. Satisfying the customers efficiently will result in business optimization.

· Data science owns the capability of predicting trends which proves to be a great benefit to the business. To be able to read the patterns and predict the future tendency of peoples' wants is going to be lucrative in every which way possible.

· Advertisement holds are huge part in the business being able to thrive and the product reaching its target audience. Data science helps in better marketing. Companies need good marketing strategies every day and they analyze their data to create impactful advertisements. Data science can make it easier by making smarter decisions for them and run a campaign for them for the specific purpose.

· Data science holds the future. Industries are becoming data driven and they need data scientists to process and analyze the data for them and make smarter decision by predicting information. Therefore, it holds the career for tomorrow.

· Reading resumes and appointing the right person for the job is a daily task in a company. This exhausting task can be done easily and efficiently through the amount of data available online. Social media and job search websites can be searched thoroughly by the data scientists and select the perfect candidate according to his talents and capabilities.

· Data science can also provide beneficial aid in identifying the right target audience. Data science can prove to be helpful in collecting customer data and gaining insights onto their liking and disliking. The company can learn more about their audience and gain in depth knowledge to target the right group of audience and increase profit margins.

Advantages and disadvantages

Data science is a highly prestigious and versatile career. It also holds great scope in personal growth. It is highly in demand and it holds the future. All the industries realize the importance of the field and all the benefits that it can reap for them and is held as an important position for the company, so it is a highly paid profession. The job is extremely interesting. There are no repetitive tasks to be performed and thus it is not boring at all. Data science is a field that aims in making data meaningful for the company by improving its quality. It makes computers smart enough to read the behaviors and patterns of the customers though their historical purchases and search history. This machine learning phenomenon helps the company in producing better products. However, the field has its disadvantages as well. Data science is a very vague term and it is not easily understandable. Mastering the degree of data science is nearly impossible. To hold proficiency in the field, you require large amount of domain knowledge. Data science helps in predicting future trends but sometimes the results do not yield to be the one as expected. It can happen due to numerous reasons like poor management or scarce resources.

Business intelligence vs Data Science

Data science is commonly mistaken with business intelligence. Business intelligence focuses on analyzing the previous data and run research on it to explain the business trends. It manages, arranges and produces information from the data to answer business problems. It is much simpler than data science. Data science uses complex tools and statistics and analyzes data based on past or current to forecast the future trends. it answers open ended questions as to how and what could happen in the future while BI focuses on the question that asks what happened only. BI has a limited scope as it focuses on past and present, data science focuses on present and future and has unlimited scope. BI contains data that is only structured, while data science contains both structured and unstructured data. BI helps companies in solving their problems while data scientists raise the problems and solve them too. Tools that are used in BI are MS excel, SAS BI, MicroStrategy. Tools used by data science are Hadoop, Qlikview, Python, TensorFlow.

Artificial intelligence vs Data science

Data science makes use of artificial intelligence but they are not entirely the same. Artificial intelligence is known as to counterfeit human intelligence into machines to make them capable of imitating humans and be able to solve problems and make decisions. Data science on the other hand is the process of analyzing, pre-processing and maintaining data for analytics and visualization to forecast future trends and patterns. Data science uses statistical techniques whereas artificial intelligence makes use of algorithms. Data science does not involve scientific processing as much as artificial intelligence. Data science uses data analytics technique while artificial intelligence uses machine learning.

Big data vs Data Science

These two terms are often heard together but they are quite distinguished from one another. Big data is focused on handling large data while Data science focuses on analyzing the data and predicting future outcomes. Big data includes the process of handling large volumes of data and generating insights while data science predicts the outcomes and analyzes the trends and makes rational and smart decisions accordingly. E-commerce, telecommunication and security service industries use big data. While data science plays a huge role in industries involving science, risk analytics, advertisements etc.

Data scientist

Being a data scientist holds great responsibility, proficiency and knowledge in the domain. A data scientist requires to be adept in statistics and mathematics to be able to analyze and process data properly. A data scientist is supposed to be good at machine learning. It is also important that the scientist has great understanding of the domain he is working in to be able to do he is work appropriately. He should be able to apply algorithms where requires and have good knowledge of coding skills. He should also have sufficient experience in working in the field. He should also be good at programming and CS fundamentals. A scientist should also have apt communication skills, as he will be directly in contact with the upper management and will have to communicate his results to them. Its important for a data scientist to understand his projects and fulfill them properly by asking the right questions, using the right resources and tools and then brief the entire process to the stakeholders appropriately to achieve accurate results.

Pay scale of a data scientist

According to glassdoor average salary of a data scientist is $113,309 per year. The pay varies from $83,000 as lowest to $154,000. As for the additional cash compensation, it ranges from $3,850 - $26,084, with an average of $11,258. However, the salary varies according to the industry as well. For example, Facebook pays its data scientist an average of $146,221 per year according to 115 salaries it pays and Microsoft data scientist makes an average of $129,435 per year as per the 79 salaries it gives.

Conclusion

Data science holds its pros and cons and it might take time for it to gain proficiency and momentum but it is without doubt an ever-evolving industry and holds the future. With the humungous outbreak of data, the need for data science will elevate and thus will provide more opportunities to make key businesses decisions. With this evolution, it is also important that data scientists stay motivated to perform their job sincerely and efficiently.

Who this course is for:
Students who are interested in learning Data Science
Students who are interested in learning Data Analysis

Download link:

rapidgator_net:
https://rapidgator.net/file/1789aa1fbab201e3945be51ef32357ec/kupew.Data.Science.and.Data.Analysis.with.Python.with.Exercises.rar.html

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[mitsumi1]

Deep Learning :The Complete Guide with CNN and ANN
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.06 GB
Genre: eLearning Video | Duration: 31 lectures (6 hour, 18 mins) | Language: English

The advance guide to master deep learning and build models using CNN and ANN

What you'll learn

Learn the core concepts of Deep Learning
Learn to use tools to build CNN models
Learn practical ANN and its application on real world use cases

Requirements

Basic knowledge of Python is important to complete this course
This course assumes knowledge of foundational mathematics

Description

Within the AI ecosystem, Deep Neural Network or CNN are the most popular sub-fields that promise to change multiple businesses globally. Moreover, a tremendous interest in CNN has emerged in recent years. It is mostly because of its property of 'spatial in variance' that is useful for computer vision and other similar tasks. Probably this is why CNN has managed to become one of the hottest topics of artificial intelligence.

To give you a complete understanding of this concept, we have curated this exclusive online tutorial that will help you learn all the aspects of Deep Neural Network or CNN and Artificial neural nets (ANN)

What You'll Learn?

This course unfolds with the basic intro of Deep Learning and then directly jumps into CoLab & other essential tools of Neural Networks & Artificial Neural Network. As it progresses, it will give you detailed insights into architectures of CNN, convolutional layers, fully connected layers, and training a deep neural network. In the end, it is also supported by a project that entirely revolves around Deep Neural Network & CNN.

This Course Includes:

l Intro- Deep Learning, CoLab,

l Neural Networks- Working, APIs, Architecture, Training & Testing

l Artificial Neural Networks- Working, Learning, Gradient Descent, Backpropagation, SGD, Optimization

l CNN- Architectures, Convolutional Layers, Pooling, Fully Connected Layers, Activation Functions, Training Deep Neural Networks

l Project on Deep Neural Network & CNN

Begin with this course to learn CNN & harness the true power of Deep Learning!

Who this course is for:

Anyone who wants to learn Deep learning and CNN will find this course very useful

Download link:

rapidgator_net:
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[mitsumi1]

Deploy Machine Learning Models on GCP + AWS Lambda (Docker)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.81 GB
Genre: eLearning Video | Duration: 53 lectures (4 hour, 17 mins) | Language: English
How to Serialize - Deserialize model with scikit-learn & Deployment on Heroku, AWS Lambda, ECS, Docker and Google Cloud

What you'll learn

Model Deployment Process
Different option available for Model Deployment
Deploy Scikit-learn, Tensorflow 2.0 Model with Flask Web Framework
Deploy Model on Google cloud function, App engine
Serve model through Google AI Platform
Run Prediction API on Heroku Cloud
Serialize and Deserialize model through Scikit-learn and Tensorflow
Deploying model on Amazon AWS Lambda
Install Flower prediction model with Docker
Deploy Docker Container on Amazon Container Services (ECS)

Requirements

Basics of Python Programming
Basic knowledge of Web development

Description

Hello everyone, welcome to one of the most practical course on Machine learning and Deep learning model deployment production level.

What is model deployment :

Let's say you have a model after doing some rigorous training on your data set. But now what to do with this model. You have tested your model with testing data set that's fine. You got very good accuracy also with this model. But real test will come when live data will hit your model. So This course is about How to serialize your model and deployed on server.

After attending this course :

you will be able to deploy a model on a cloud server.

You will be ahead one step in a machine learning journey.

You will be able to add one more machine learning skill in your resume.

What is going to cover in this course?

1. Course Introduction

In this section I will teach you about what is model deployment basic idea about machine learning system design workflow and different deployment options are available at a cloud level.

2. Flask Crash course

In this section you will learn about crash course on flask for those of you who is not familiar with flask framework as we are going to deploy model with the help of this flask web development framework available in Python.

3. Model Deployment with Flask

In this section you will learn how to Serialize and Deserialize scikit-learn model and will deploy owner flask based Web services. For testing Web API we will use Postman API testing tool and Python requests module.

4. Serialize Deep Learning Tensorflow Model

In this section you will learn how to serialize and deserialize keras model on Fashion MNIST Dataset.

5. Deploy on Heroku cloud

In this section you will learn how to deploy already serialized flower classification data set model which we have created in a last section will deploy on Heroku cloud - Pass solution.

6. Deploy on Google cloud

In this section you will learn how to deploy model on different Google cloud services like Google Cloud function, Google app engine and Google managed AI cloud.

7. Deploy on Amazon AWS Lambda

In this section, you will learn how to deploy flower classification model on AWS lambda function.

8. Deploy on Amazon AWS ECS with Docker Container

In This section, we will see how to put application inside docker container and deploy it inside Amazon ECS (Elastic Container Services)

This course comes with 30 days money back guarantee. No question ask. So what are you waiting for just enroll it today.

I will see you inside class.

Happy learning

Ankit Mistry

Who this course is for:

Anyone who knows ML and want to move towards Model deployment
Anyone who want to know how to put Machine Learning app into production

Download link:

rapidgator_net:
https://rapidgator.net/file/5d251c493fdb3051f8131a3c240892ba/m1xyx.Deploy.Machine.Learning.Models.on.GCP..AWS.Lambda.Docker.rar.html

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[mitsumi1]

Diploma in Advanced Applied Mechanics Certification
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.28 GB
Genre: eLearning Video | Duration: 10 lectures (1 hour, 14 mins) | Language: English
Complex Engineering gets Simplified.... Simplified Education should reach to all corners of the World.

What you'll learn

Module 1: Resultant and equilibrium of forces
Module 2: Friction & Numericals
Module 3: Virtual Work
Module 4: Kinematics of Particles & Rigid Bodies
Module 5: Kinetics of particles & Rigid Bodies
Module 6: Work Power & Energy

Requirements

Ability to Learn

Description

Simplified Education should reach to all corners of the World.

In this course You Will Study Six Modules, which are explained by using Latest Whiteboard Technology, which will make your understanding easier. the course is developed by the eminent professors from Global Education Foundation who are qualified from the top most universities from USA and having experience in teaching students from all over the world. The modules also contains the complex numericals simplifies. All lectures from the course are helpful to prepare for the competitive exams. All Modules contains the quizzes also to test your course attainment value. After the successful completion of all quizzes and assignments you will get the certificate.

The modules are as follows:-

Module 1: Resultant and equilibrium of forces

Module 2: Friction & Numericals.

Module 3: Virtual Work

Module 4: Kinematics of Particles & Rigid Bodies

Module 5: Kinetics of particles & Rigid Bodies

Module 6: Work Power & Energy.

Happy learning and feel free for any questions to ask.

Who this course is for:

All Engineering Students

Download link:

rapidgator_net:
https://rapidgator.net/file/9e485861ffa0054079dcee84ebc483d0/8y37l.Diploma.in.Advanced.Applied.Mechanics.Certification.rar.html

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[mitsumi1]

Django with GraphQL
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.01 GB
Genre: eLearning Video | Duration: 32 lectures (3 hour, 52 mins) | Language: English

Integrating GraphQL API with Django Framework

What you'll learn

Basics of Django Framework
Basics of GraphQL
How to build GraphQL API with Django

Requirements

Basic knowledge of python

Description

We will learn what is GraphQL, what are pros and cons of using it. We will talk about the main concept in GraphQL like schemas, types, queries, mutations and subscriptions.

In the first section we will create plain Django project. This is introduction to Django framework and none previous knowledge is required.

Once the project will be setup we will add GraphQL. In that way you will be able to follow along with either your own Django project or simple project we have created together in the first section. I will explain how to create a root schema and how to create schemas for apps. Also we will implement new Django url to use graphiql: the UI to perform or queries and mutations. Once GraphQL is ready we will add Types, Queries and Mutations. I will show you different ways to write these and explain why we might use one option over another.

After we will have a solid understanding of the GraphQL and how it is connected with Django, we will dive deeper and add some extras like: Token Authentication (JWT), Relay implementations, Filters, Pagination etc.

We will finish the course with the samples how to use our backend GraphQL API with front end applications based on both React and Angular. We will have 2 separate application that will fetch data from our Django Database using our graphql API. We will use apollo library on the front end.

Who this course is for:

Django developers
Python developers
Backend Developers
Full-stack developers

Download link:

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[mitsumi1]

Docker Interview Question and Answer (100+ FAQ)
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 634 MB
Genre: eLearning Video | Duration: 103 lectures (1 hour, 47 mins) | Language: English
Docker Interview Question - Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer

What you'll learn

By attending this course you will get to know frequently and most likely asked Programming, Scenario based, Fundamentals, and Performance Tuning based Question asked in Docker Interview along with the answer This will help Docker Engineer/Devops Engineer Career Aspirants to prepare for the interview. During your Scheduled Interview you do not have to spend time searching the Internet for Docker interview questions. We have already compiled the most frequently asked and latest Docker Interview questions in this course.

Requirements

Docker basic fundamental knowledge is required

Description

Docker Interview Questions has a collection of 100+ questions with answers asked in the interview for freshers and experienced (Programming, Scenario-Based, Fundamentals, Performance Tuning based Question and Answer).

This course is intended to help Docker Career Aspirants to prepare for the interview. We are planning to add more questions in upcoming versions of this course.

Docker is a set of platform as a service products that use OS-level virtualization to deliver software in packages called containers. Containers are isolated from one another and bundle their own software, libraries and configuration files; they can communicate with each other through well-defined channels.

Course Consist of the Interview Question on the following Topics

The Docker platform

Docker Engine

Docker architecture

The Docker daemon

The Docker client

Docker registries

Docker objects

Images

Containers

Namespaces

Control groups

Union file systems

Container format

Who this course is for:

This course is designed for Docker or Devops Engineer Job seeker with 6 months to 4 years of Experience in Docker or Devops and looking out for new job as Devops/Docker Engineers or Software Developer, Devops Software Architect, Devops Manager

Download link:

rapidgator_net:
https://rapidgator.net/file/7321106d4fc5189b7e8d8c231fa26097/y4uwd.Docker.Interview.Question.and.Answer.100.FAQ.rar.html

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[mitsumi1]

Ensemble Machine Learning in Python : Adaboost, XGBoost
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 1.12 GB
Genre: eLearning Video | Duration: 36 lectures (4 hour, 2 mins) | Language: English
Ensemble Machine Learning technique like Voting, Bagging, Boosting, Stacking, Adaboost, XGBoost in Python Sci-kit Learn

What you'll learn

Machine learning concept and bias variance error.
Concept behind Ensemble learning and Different types of ensemble learning
Apply voting classifier and voting regressor with Scikit-learn API
Understand and implement bagging ensemble learning method
Apply special bagging ensemble technique Random forest on credit card Dataset.
Learn adaboost and XGBoost ensemble technique
Understand and implement Model stacking technique

Requirements

Basics of Python programming
Knowledge about Machine learning algorithms

Description

Let's say you want to take one of the very important decision in your life, it will be a choosing your career or choosing your life partner.

Do you think that you can depend on a just one person advice. Advice from the one person can be highly biased also. The best way you can go ahead by asking and taking guidance from multiple people which reduce the bias.

Same thing apply on machine learning world also while predicting some class or predicting any continuous value for regression problem, why you should rely on a one model only. support vector machine, neural network, decision tree, random forest logistic regression, genetic algorithm.

This type of many algorithms are available. Why don't we use the capability of many algorithm for prediction. So using those power of multiple algorithm for the prediction is called as ENSEMBLE LEARNING.

So welcome to my course on and Ensemble Machine learning with Python.

One of the most useful technique in machine learning to balance bias and variance.

Reducing Variance & reducing high bias error are such important task while designing the machine learning system and Ensemble learning is the solution behind that.

Why ensemble learning :

Build model with low variance and low bias.

Majority of machine learning competition held on kaggle website won by this and ensemble learning approach.

Nothing new here to invent but depend on multiple existing algorithm to improve model.

What course is going to cover :

Different ensemble learning technique

Simple voting classifier, hard and soft

Averaging ensemble learning technique : bagging and pasting

Boosting algorithm for ensemble learning

Simple boosting mechanism

Adaptive boosting algorithm

Gradient boosting

Extreme gradient boosting (XGBoost)

Stacking algorithm

Implementation of all strategy with the help of building implemented algorithms are available in Scikit-learn library

At the end of this course you will be able to apply ensemble learning technique on various different data set for regression and classification problem.

This course comes with 4+ hours of HD quality video plus quizzes to test your understanding about them ensemble learning.

Udemy always gives you 30 days money back guarantee. There is nothing to lose at your end. So what are you waiting for just enroll it now.

I will see you inside course.

Happy learning

Your regards

Ankit Mistry

Who this course is for:

Anyone has idea about machine learning and want improve model accuracy
Anyone who want to learn ensemble machine learning techniques

Download link:

rapidgator_net:
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[mitsumi1]

Everyday Magic
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 2.16 GB
Genre: eLearning Video | Duration: 45 lectures (1 hour, 45 mins) | Language: English

Using only Everyday items to perform Magic!

What you'll learn

Learn Simple Magic Tricks
Using Everyday Household Items.

Requirements

Nope. Using ANYTHING you can find at Home!

Description

Bored? Stuck at Home? Looking to Engage your family to learn something together? Impress & Amaze your friends online? You've come to the right place! Welcome to Everyday Magic where I will teach you simple Magic Effects that you can learn & perform in the comfort of your own home! This is the perfect course for families to get together and learn Magic together!

Who this course is for:

ANYONE who wants to learn a new skill or engage their kid's personal growth & development using the art of Magic

Download link:

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