Analyzing and Visualizing Data with Excel

EdX designed this course to teach Excel from a perspective of visualizing data. While it covers the basics of inputting and manipulating data, it emphasizes visual representations and presentations. It takes a data-science approach to using Excel and is offered through a six-week curriculum.

( 11 Reviews )

Created by: Dany Hoter

Produced in 2016

What you will learn

How to gather and use data from more than one source.
Combining and discovering data with mashups.
Data modeling and model creation.
Exploring, visualizing and analyzing data.

Quality Score

Content Quality

Video Quality

Qualified Instructor

Course Pace

Course Depth & Coverage

Overall Score : 86 / 100

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Course Description

Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.
Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis. After preparing the data, find out how business calculations can be expressed using the DAX calculation engine. See 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 even consumed on mobile devices.
Do you feel that the contents of this course is a bit too advanced for you and you need to fill some gaps in your Excel knowledge? Do you need a better understanding of how pivot tables, pivot charts and slicers work together, and help in creating dashboards? If so, check out DAT205x: Introduction to Data Analysis using Excel.
edX offers financial assistance for learners who want to earn Verified Certificates but who may not be able to pay the fee. To apply for financial assistance, enroll in the course, then follow this link to complete an application for assistance.
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.

Intermediate Level

Time: 6 Weeks - 2-4 hours per week

Pros

Cons

- Course is part of multiple Microsoft certification series, including Excel Fundamentals, Microsoft Data Science, Data Analysis and Microsoft Excel for the Data Analyst.
- Course was developed by Microsoft itself, and it includes a Microsoft certification upon completion.
- Totaling 18 hours, the course covers topics of data management thoroughly.
- The course only supports Excel 2019, 2013 and 2016. While users of newer versions can still benefit from the course, they may run into frustrations where inputs and applications diverge from the supported versions.
- While the course is free, the certification is not.

Instructor Details

Dany Hoter

4.3 Rating
11 Reviews

Dany Hoter is a solutions architect with DataRails, a startup company that adds enterprise abilities to Excel. He has been involved with business intelligence (BI), Excel, and BI in Excel since 1998. Previously, he worked for Microsoft as a Program Manager in the Excel team. Dany is very passionate about educating Excel users and is happy to connect on LinkedIn.

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4.3

11 total reviews

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By Gregory S on 9/18/2015

Excel for Data Analysis and Visualization is a succinct, informative course on new Excel features that is worth checking out for those interested in going beyond the basics. Using Excel 2016 for this course when it launched only a few months before the course debuted may partially be a ploy to convince Excel users to upgrade, but I can't fault Microsoft for teaching with the latest version of their own product and I completed the course with Excel 2010 without much difficulty.I give Excel for Data Analysis and Visualization 4 out of 5 stars: very good.

By Cameron C on 6/13/2015

Good course. Definitely a game-changer in terms of Excel. The main focus is on Power Query, Data Models and DAX (new language in Excel). The course is not extremely difficult to take, but some prior Excel usage would be recommended. Great intro to Analysis on Excel.The course and its content is great, but sometimes the presentation can be lacking. For example there are compatibility issues depending on the version of Excel you are running.

By Ralph T on 10/13/2017

Excellent Course for the visual display of data, as well as slicing it.

By Laura Rubio on 12/30/2019

Very complete course, I have learnt a lot. it is great having files to practice what we have learnt from the lectures.

By Olga Matsulka on 12/28/2019

Great and adequately challenging course. Would recommend to others as it provides an up-to-date review of Excel and its development. The new features are great as they provide for better efficiency.

By Valeria McGeer on 12/25/2019

I love this course, it was made easy to understand. It covers many aspects and tools of excel that I did not know existed. it is easy enough to follow along and Danny as an instructor is great!

By Kazeem Omotosho on 11/15/2019

This is a very comprehensive course taught at the professional level. I was able to lay my hands on all The Lab Questions and Exercises and very comfortable scoring above 90%.its indeed a very wonderful experience.

By NAVANEETH S on 11/5/2018

The course was very informative. Most of the operations in the Excel was not known to me. I generally used to see the operations but never used it at all.

By Elena Popova on 6/17/2018

I found this course very helpfull! Analyzing and visualizing data with Excel is not that easy and course covered the basics of doing it. I like the most the Module 7 from where I learnt very usefull tips and the Lab really made me think.

By Gaurang Sharma on 4/13/2018