Excel for Data Analysis and Visualization 
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.
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
Meet the instructor
- Length: 4 weeks
- Effort: 2 - 4 hours/week
- Price: FREE
Add a Verified Certificate for $49
- Institution: Microsoft
- Subject: Data Analysis & Statistics
- Level: Intermediate
- Languages: English
- Video Transcripts: English
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.
Starts on September 29, 2015
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