Explore data analysis and
visualization in Excel, the cloud benefits of Power BI, and Power Pivot,
pivot tables, and tools previously known as Power Query.
Self-Paced
- Length: 4 weeks
- Effort: 2-4 hours per week
-
Price:
Free
Add a Verified Certificate for $49 - Institution: Microsoft
- Subject: Data Analysis & Statistics
- Level: Intermediate
- Languages: English
- Video Transcripts: English
Prerequisites
Understanding of Excel analytic tools such as tables, pivot tables and pivot charts.Also, some experience in working with data from databases and also from text files will be helpful.
System Requirements:
- Windows operating system: Windows 7 or later.
- Microsoft Excel on Windows operating system:
- Microsoft Excel 2016 Professional Plus or standalone edition
- Microsoft Excel 2013 Professional Plus or standalone edition
- Microsoft Excel 2010
- Other versions of Microsoft Excel are not supported
About this course
Microsoft Excel is one of the most widely used solutions
for analyzing and visualizing data. Beginning with Excel 2010, new
tools were introduced to enable the analysis of more data, resulting in
less time spent creating and maintaining the solutions and enabling a
better understanding of what the data means. This better understanding
is facilitated by improved visualizations and more sophisticated
business logics.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.
Do you want to take your advanced Excel skills to the next level? Are you exploring new ways to get and transform your data and create visualization?
Check out this practical new course, taught in short, lecture-based videos, complete with demos, quizzes, and hands-on labs, and skill up on many of the built-in business intelligence (BI) tools and features in Excel. Learn how to present the most relevant data with dynamic reports and presentations, as expert Dany Hoter walks you through all the important details.
In this course, get an introduction to the latest versions of these new tools in Excel 2016. See how to import data from different sources, create mashups between data sources, and prepare the data for analysis. After preparing the data, learn about how business calculations—from simple to more advanced—can be expressed using the DAX calculation engine. And see how these different technologies work together inside Excel. Learn how the data can be visualized and shared to the Power BI cloud service, after which it can be used in dashboards, queried using plain English sentences, and consumed on mobile devices.
What you'll learn
- How to gather and transform data from multiple sources.
- How to discover and combine data in data mash ups
- About creating data models
- Exploration, analysis and visualization of data
Course Syllabus
Week 1- Setup the lab environment by installing Office applications.
- Learn how to perform data analysis in Excel using classic tools, such as pivot tables, pivot charts, and slicers, on data that is already in a worksheet / grid data.
- Explore an Excel data model, its content, and its structure, using the Power Pivot add-in. Create your first DAX expressions for calculated columns and measures.
Week 2
- Learn about queries (Power Query add-in in Excel 2013 and Excel 2010), and build an Excel data model from a single flat table.
- Learn how to import multiple tables from a SQL database, and create an Excel data model from the imported data.
- Create a mash-up between data from text-files and data from a SQL database.
Week 3
- Get the details on how to create measures to calculate for each cell, filter context for calculation, and explore several advanced DAX functions.
- Find out how to use advanced text query to import data from a formatted Excel report. Perform queries beyond the standard user interface.
Week 4
- Explore ways to create stunning visualizations in Excel. Use the cube functions to perform year-over-year comparisons.
- Create timelines, hierarchies, and slicers to enhance your visualizations. Learn how Excel can work together with Power BI.
- Upload an Excel workbook to the Power BI service. Explore the use of Excel on the mobile platform.
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