Macquarie University - Excel Power Tools for Data Analysis
3.5 /5- Offered byCoursera
Excel Power Tools for Data Analysis at Coursera Overview
Duration | 15 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Excel Power Tools for Data Analysis at Coursera Highlights
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 3 of 3 in the Excel Skills for Data Analytics and Visualization Specialization
- Flexible deadlines Reset deadlines in accordance to your schedule.
- Intermediate Level We expect that you have some background with Excel. You can move around the interface and create basic formulas.
- Approx. 15 hours to complete
- English Subtitles: English
Excel Power Tools for Data Analysis at Coursera Course details
- Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data.
- Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone. Over the last few years, Microsoft have worked on transforming the end-to-end experience for analysts, and Excel has undergone a major upgrade with the inclusion of Power Query and Power Pivot.
- In this course, we will learn how to use Power Query to automate the process of importing and preparing data for analysis. We will see how Power Pivot revolutionises the actual analysis process by providing us with an analytical database inside the Excel workbook, capable of storing millions of rows, and a powerful modelling language called DAX which allows us to perform advanced analytics on our data. We will finish off by venturing out of Excel and introducing Power BI, which also uses the Power Query and Power BI architecture but allows us to create stunning interactive reports and dashboards.
- This is the third course in our Specialization on Data Analytics and Visualization. The previous courses: Excel Fundamentals for Data Analysis and Data Visualization in Excel, cover data preparation, cleaning, visualisation, and creating dashboards. To get the most out of this course we would recommend you do the previous courses or have experience with these topics. In this course we focus on Excel Power Tools, join us for this exciting journey.
- Please note that Power Query, Power Pivot and Power BI Desktop are only available on the Windows platform, so Mac users will require Bootcamp running Windows or a Virtual machine with a Window O/S. While Power Query is available as an add-in Excel 2010 and 2013, the tools have changed significantly, and this course has only been designed and tested for Excel 2016 and later. For an optimal experience, we recommend Office 365.
Excel Power Tools for Data Analysis at Coursera Curriculum
Welcome and critical information
Welcome to Excel Power Tools for Data Analysis
Course goals and weekly learning objectives
Important information about versions and regions
Week 1 Introduction
Introduction to Power Query
Get and transform data from Excel
Get data from a database
Get data from a folder
Append queries with 2 datasets
Append queries with 3 or more datasets
Merge queries ? Left Outer join
Merge queries ? Inner and Anti joins
Read me before you start: Quizzes and Navigation
Download the Week 1 workbooks
Week 1 Practice Challenge
Week 1 Toolbox
Introduction to Power Query
Get and transform data from Excel
Get data from a database
Get data from a folder
Append queries with 2 datasets
Append queries with 3 or more datasets
Merge queries ? Left Outer join
Merge queries ? Inner and Anti joins
Transforming data in the Query Editor
Week 2 Introduction
Applying transformations with the Query Editor
Unpivoting data
Pivoting data in the Query Editor
Grouping data
Working with columns in Office 365
Working with columns in Excel 2016
Download the Week 2 workbooks
Working with columns ? difference in versions
Week 2 Practice Challenge
Week 2 Toolbox
Applying transformations with the Query Editor
Unpivoting data
Pivoting data in the Query Editor
Grouping data
Working with columns
Test your skills: Weeks 1 and 2
Power Pivot and the Data Model
Week 3 Introduction
Adding data to the Data Model
Data Modelling
Analysing data with Power Pivot
Visualising data with Power Pivot and Cube Functions
Introduction to DAX measures
Applying Time Intelligence and CALCULATE
Download the Week 3 workbooks
Week 3 Practice Challenge
Week 3 Toolbox
Adding data to the Data Model
Data Modelling
Analysing data with Power Pivot
Visualising data with Power Pivot and Cube Functions
Introduction to DAX measures
Applying Time Intelligence and CALCULATE
Test your skills: Week 3
Visualising Data with Power BI
Week 4 Introduction
Introducing Power BI
Adding a Calendar using DAX
Creating a Power BI report
Working with reports
Adding time intelligence
Sharing Power BI reports
Download the Week 4 workbooks
Week 4 Practice Challenge
Week 4 Toolbox
Introducing Power BI
Adding a Calendar using DAX
Creating a Power BI report
Working with reports
Adding time intelligence
Sharing Power BI reports
Test your skills: Week 4
Excel Power Tools for Data Analysis at Coursera Admission Process
Important Dates
Other courses offered by Coursera
Student Forum
Anything you would want to ask experts?