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Learner Reviews & Feedback for Introduction to Data Analysis Using Excel by Rice University

10,184 ratings

About the Course

The use of Excel is widespread in the industry. It is a very powerful data analysis tool and almost all big and small businesses use Excel in their day to day functioning. This is an introductory course in the use of Excel and is designed to give you a working knowledge of Excel with the aim of getting to use it for more advance topics in Business Statistics later. The course is designed keeping in mind two kinds of learners - those who have very little functional knowledge of Excel and those who use Excel regularly but at a peripheral level and wish to enhance their skills. The course takes you from basic operations such as reading data into excel using various data formats, organizing and manipulating data, to some of the more advanced functionality of Excel. All along, Excel functionality is introduced using easy to understand examples which are demonstrated in a way that learners can become comfortable in understanding and applying them. To successfully complete course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. ________________________________________ WEEK 1 Module 1: Introduction to Spreadsheets In this module, you will be introduced to the use of Excel spreadsheets and various basic data functions of Excel. Topics covered include: • Reading data into Excel using various formats • Basic functions in Excel, arithmetic as well as various logical functions • Formatting rows and columns • Using formulas in Excel and their copy and paste using absolute and relative referencing ________________________________________ WEEK 2 Module 2: Spreadsheet Functions to Organize Data This module introduces various Excel functions to organize and query data. Learners are introduced to the IF, nested IF, VLOOKUP and the HLOOKUP functions of Excel. Topics covered include: • IF and the nested IF functions • VLOOKUP and HLOOKUP • The RANDBETWEEN function ________________________________________ WEEK 3 Module 3: Introduction to Filtering, Pivot Tables, and Charts This module introduces various data filtering capabilities of Excel. You’ll learn how to set filters in data to selectively access data. A very powerful data summarizing tool, the Pivot Table, is also explained and we begin to introduce the charting feature of Excel. Topics covered include: • VLOOKUP across worksheets • Data filtering in Excel • Use of Pivot tables with categorical as well as numerical data • Introduction to the charting capability of Excel ________________________________________ WEEK 4 Module 4: Advanced Graphing and Charting This module explores various advanced graphing and charting techniques available in Excel. Starting with various line, bar and pie charts we introduce pivot charts, scatter plots and histograms. You will get to understand these various charts and get to build them on your own. Topics covered include • Line, Bar and Pie charts • Pivot charts • Scatter plots • Histograms...

Top reviews


May 25, 2020

The training provided by Dr. Sharad is easy to follow and learn. Bravo and Thank you.

The level of difficulty from the quiz and the final task is just right and it is making us to think creatively.


Apr 27, 2017

good course gives a basic foundation for data analytics ! Excellent for beginners who have no idea how to use excel for want to learn systematically excel files given at every lecture are very useful.

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1576 - 1600 of 2,230 Reviews for Introduction to Data Analysis Using Excel


May 11, 2020


By Salim K F

May 11, 2020


By Nafis F

Apr 27, 2020


By Badarinadh V

Feb 28, 2020


By Marwan A

Sep 4, 2019

Very good

By Willem A

May 24, 2019










By Ganapathi N K

Jan 30, 2019


By Воробьев А А

Apr 24, 2018


By Nguyen C Q

Dec 17, 2017

very good

By Alexey K

Nov 6, 2017

Thank you

By Shabnam

Sep 11, 2017


By Bensley S

Aug 13, 2017


By Stephen J

Aug 11, 2017

Good job.

By jet.tao

Jan 20, 2017

very good

By Endurance O

Dec 11, 2016


By Rajpal G

Oct 15, 2016

Best ever

By Emmanuel A

Dec 13, 2020


By Surbhi K

Oct 7, 2020


By Monjurul I

Sep 26, 2020

Good one

By Rosemberg T B

Aug 22, 2020


By Fabian U T

Jul 30, 2020


By pooja s

Jun 28, 2020

good one

By Muhammad R

Jun 2, 2020


By Sunny S

May 13, 2020



May 7, 2020