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

4.7
stars
10,497 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

LC

May 17, 2018

Excellent class, well-written and presented with real-world examples that are challenging but not impossible to complete if you follow the small quizzes and stay on top of the deadlines. Great job!

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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2151 - 2175 of 2,294 Reviews for Introduction to Data Analysis Using Excel

By Maria b t d m l

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Oct 7, 2018

Really good

By Harsh S

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Aug 6, 2017

Nice Course

By MOHAMMED S

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Apr 1, 2017

very useful

By Meenal G

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Mar 4, 2017

good course

By Fe C

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Feb 19, 2019

Very good!

By Asma S A

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Jan 4, 2022

Well done

By Vikram S B

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Mar 6, 2021

excellent

By Sushant T p

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Aug 18, 2021

Its good

By Dony E A

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Apr 20, 2021

inspring

By lokesh k

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Jun 11, 2020

Thanks

By Ahmed S

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Apr 19, 2020

v good

By Nazir u

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Sep 27, 2016

Useful

By Dalia A A H

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Jul 16, 2024

great

By Sahana S

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Nov 16, 2024

good

By Arun P

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Nov 10, 2024

good

By Anu K D

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Nov 6, 2021

Good

By Suraj M

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Aug 15, 2021

GOOD

By Sanket K M

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Apr 17, 2020

good

By Deleted A

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Jul 18, 2019

bien

By Ambati G R

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Mar 20, 2019

Good

By Chittaranjan R

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Jan 7, 2018

V

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r

y

By Enrique E M

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Nov 9, 2020

OK

By Rasel

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Jan 22, 2022

5

By Heidy E

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Jun 21, 2020

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