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

4.7
stars
10,445 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

KN

Jan 28, 2021

Dr Sharad has made Excel Learning very concise and easily understandable. The advanced concepts are easily understood by even beginners. I am grateful for the opportunity to learn at Rice University.

AM

Jun 2, 2020

Everything was explained in detail, even the smallest bits we don't pay attention to. Beautifully designed course, I would recommend it to anyone looking to get started with excel and data analytics.

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1651 - 1675 of 2,284 Reviews for Introduction to Data Analysis Using Excel

By Rahdian A

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Oct 3, 2020

Amazing

By ADALBER C L

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Sep 21, 2020

gracias

By nakul S

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Aug 26, 2020

Awesome

By Deleted A

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Jun 26, 2020

Love It

By jittu s

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Mar 10, 2019

superb.

By Mahammadrza J

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May 31, 2018

5 stars

By JAMES I G

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Sep 12, 2024

goods!

By Parvinder K

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Apr 26, 2024

thanks

By Maria C

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Mar 11, 2023

Thanks

By SRINIVASU C

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Mar 31, 2022

useful

By Rachita T

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Jul 21, 2021

v good

By 황창현

•

Nov 22, 2020

감사합니다.

By Arjun S

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Aug 17, 2020

Useful

By Abdullah K A

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Jun 28, 2020

thanks

By Antonio S M

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Aug 12, 2017

super!

By Ayesha K

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Feb 1, 2024

BEST.

By Muhammad A A

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Dec 2, 2023

Great

By Sudharsan B

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Jul 1, 2022

great

By Mema

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Mar 24, 2022

great

By akshay

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Aug 18, 2021

GREAT

By NEHA N V

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Aug 13, 2021

great

By Satnam B

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Aug 4, 2021

Good.

By Randy I

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Nov 17, 2020

Great

By Harun K

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Oct 14, 2020

Great

By Md. R Q S

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Aug 10, 2020

great