Power BI Master Class - Consume and Transform Data
4.4 (265 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,286 students enrolled

Power BI Master Class - Consume and Transform Data

Prepare and learn for the Microsoft MCSA BI Reporting Exam 70-778 Analyzing and Visualizing Data using Power BI Desktop
4.4 (265 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,286 students enrolled
Created by Ian Littlejohn
Last updated 3/2019
English
Current price: $11.99 Original price: $99.99 Discount: 88% off
2 days left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3 hours on-demand video
  • 7 articles
  • 17 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Have a comprehensive understanding of connecting and transforming data using Microsoft Power BI
  • Students will be prepared for the first module of the Microsoft Exam 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI

  • Enjoy clear and concise step by step instruction from a best selling Udemy instructor

  • Load data into Power BI from a multitude of different sources including SQL Server, Excel, CSV, JSON, XML and SQL Analysis Services
  • Perform basic transformations such as filtering, changing data types, remove columns and creating new calculated columns
  • Perform advanced transformations such as Merging, Appending, Unpivoting, Grouping and Calculating Custom Columns
  • Learn to clean data and load data using parameters
Requirements
  • You will require Power BI desktop and access to the Power BI Service on the Internet
  • You should be able to work with data in Excel and do basic reporting
Description

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

This course is presented by Ian Littlejohn - who with over 23000 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.

Skills in data analysis, reporting and the creation of dashboards are highly valued in today's business environment. Microsoft Power BI is now recognized as the leading Business Intelligence tool in the world for the development of reports, data analysis and dashboards.

Please note that this course is the first course in a series of three courses for the Power BI Master Class that cover the key outcomes of the Exam 70-778.

  1. Course 1 - Consume and Transform Data

  2. Course 2 - Data Modelling and DAX Formulas

  3. Course 3 - The Power BI Service

Ian Littlejohn is a professional trainer and consultant. Ian has been working and training users on Microsoft Power BI since the release of Power BI. In this series of courses Ian teaches and prepares users for the Microsoft Exam 70-778 Analyzing and Visualizing Data by using Microsoft Power BI.  

The Microsoft MCSA BI Reporting is a valuable  certification for every Excel and Power BI user. The certification consists of two exams. Exam 70-778 Analyzing and Visualizing Data with Microsoft Power BI and Exam 70-779 Analyzing and Visualizing Data with Microsoft Excel. Ian has created a series of courses that will assist all users to prepare for these exams.

Even, if you are not preparing for the exam you will find these courses a valuable resource to learn the most important and powerful features of Microsoft Power BI.

In this first course - Consuming and Transforming Data using Microsoft Power BI Desktop we will cover:

  1. Introduction and Course Content

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

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

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

  5. Data Cleansing - Techniques and skills to clean up your data

We look forward to having you on our course as we learn and explore the incredible power of Microsoft Power BI.


Who this course is for:
  • Excel users who want to learn how to create professional reports in Power BI
  • Learners who want to prepare themselves for Microsoft Exam 70-778 Analyzing and Visualizing Data by Using Microsoft Power BI
  • Learners who want to learn Microsoft Power BI
Course content
Expand all 43 lectures 03:14:42
+ Introduction
1 lecture 03:54

Introduction to the course and what we will be covering in the course

Preview 03:54
+ Overview of the MCSA BI Reporting Qualification
2 lectures 04:10

In this lesson we provide an overview of the MCSA BI reporting certification

Preview 04:00
Links to the Microsoft MCSA BI Reporting resources
00:10
+ Sign up and Access Power BI Service and Desktop
2 lectures 04:06

Learn how to sign up for the Power BI Service and the download the Power BI Desktop.

Preview 03:07

In this practical activity you will sign up for the free Power BI service and also download the free Power BI Desktop application

Practical Activity - Sign up for Power BI and Download the Desktop Application
00:59
+ Connect to Power BI Connections and Data Sources
18 lectures 01:21:39

A brief introduction to the section on connecting to different data sources.

Introduction to Power BI Data Connections and Sources
01:41

In this lesson we review the different data sources that are available in the Power BI Desktop and Service.

Overview of Data Connections and Sources
07:51

In this lesson we learn how to connect to a SQL database.  We show how to access SQL tables and how to import the tables into Power BI.

Loading Data from SQL Server
11:48

In this lesson we cover how to load data into Power BI from Excel files.

Loading Data from an Excel file
06:41

In this activity you will practice loading data from an Excel data file.

Practical Activity - Loading Data from Excel into Power BI
00:14

In this lesson we review how to load data from Excel files that are in One Drive for Business

Loading Excel Data from One Drive for Business
04:44

In this lesson we will learn the process for loading .csv and .txt files in the Power BI Desktop.

Loading Data from .csv and .txt files
05:45

In this practical activity you are able to practice loading data from a csv file into Power BI.

Practical Activity - Load Data from a CSV file
00:15

In this lesson we learn how to access data that is on the web and load it into Microsoft Power BI Desktop.  Please note that data must be in an HTML table format for Power BI to access the data.

Loading Data from the Web
06:37

In this practical activity you will connect to a web data source and import the data into Power BI

Practical Activity - Connect to Data on the Web
00:25

This lessons shows how to load an XML file into Microsoft Power BI

Loading Data from XML files
02:33

SQL Analysis Services a powerful data source for Microsoft Power BI.  In this lesson we learn how to access Analysis Services data and also review how Analysis Services data models are created.

Loading Data from SQL Analysis Services
09:40

Data sets that are loaded into the Power BI service can also be used as sources for new reports.  In this lesson we review how to access and load data from the Power BI service.

Loading Data from the Power BI Service
04:31

JSON is a common format for transferring data between systems, especially on the Internet.  In this lesson we review how to load JSON data into Power BI

Loading Data from JSON
03:51

Google sheets is a great way to easily store and share data on the Internet.  In this lesson we show you how to easily connect to Google data sources and use the data in Power BI.

Loading Data from Google Sheets
03:34

In this lesson we review how to load data into the Power BI Service.  Reports and Dashboards can be created in the Power BI Service and we review how to load data sources to create these.

Loading Data into the Power BI Service
05:28

In this lesson we review how to load Google Analytics data into the Power BI Service and the Power BI Desktop

Loading Data from Google Analytics
05:31

Conclusion to the Connecting to Data Sources section.

Conclusion to the Connecting to Data Sources
00:30
+ Perform Transformations
13 lectures 01:10:05

Introduction to the Transformations section

Introduction to the Transformations Section
03:32
Overview of the Query Editor
07:54

In this lesson we review how to change data types, filter data, remove columns and change case of fields

Basic Transformations - Filtering, Change Data Types, Remove Columns etc.
10:40

Practical Activity to transform data in Power BI.

Practical Activity - Transforming Data in Power BI
00:35

We continue the lesson showing transformations.  In this lesson we cover creating new fields, calculations and calculating ages.

Basic Transformations - Add New Fields, Calculate Age etc.
11:36

In this lesson we learn how to easily merge fields from different tables using the Query Editor

Merging Data from Different Data Sources
08:42

In this practical activity we take four tables and merge lookup data into one table.  The Sales table looks up information such as Product Name, Promotion Name and Channel Name.

Practical Activity - Merging Data in Power BI
00:26

In this lesson we review how to append data files together.  We show how to take 3 .csv files and append them into one file.

Appending Data from Different Data Sources
03:51
UnPivot Data
03:35

In this lesson we show how you can easily unpivot a data set that has months of data running along the columns.  This is a common problem that is data analysts often find themselves having to resolve.

Unpivoting Data with Dates
06:40

In lesson we review how to Group your data.  We create aggregation for the Total Sales, Total Profit, Average Sales, Highest Sale, Lowest Sale, First Sale Date and Last Sale Date.

Grouping Data
08:34

In this lesson we review how to create your own custom calculations within the Query Editor interface.

Custom Calculations
02:57

A short review of the Transformations section.

Conclusion to Performing Transformations
01:03
+ Cleaning Data and Using Parameters
6 lectures 28:37

Introduction to the cleaning data section of the course

Introduction to Cleaning Data and Parameters
01:10
Cleaning Data - Part 1
08:36
Cleaning Data - Part 2
06:28

In this lesson you will learn to create a parameter that will filter the data in Power BI according to a selection.  A Power BI template file is then created to display the results of the parameter filter that has been applied.

Creating Parameters in Query Editor - Part 1
07:05

In this lesson you will learn how to create dynamic parameters created from queries.

Creating Dynamic Parameters with Queries
04:49

The conclusion to the cleanse data section

Conclusion to Cleaning Data
00:29
+ Conclusion
1 lecture 02:25

The conclusion to the course video

Conclusion to the Course
02:25