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

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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: 鈥� Reading data into Excel using various formats 鈥� Basic functions in Excel, arithmetic as well as various logical functions 鈥� Formatting rows and columns 鈥� 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: 鈥� IF and the nested IF functions 鈥� VLOOKUP and HLOOKUP 鈥� The RANDBETWEEN function ________________________________________ WEEK 3 Module 3: Introduction to Filtering, Pivot Tables, and Charts This module introduces various data filtering capabilities of Excel. You鈥檒l 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: 鈥� VLOOKUP across worksheets 鈥� Data filtering in Excel 鈥� Use of Pivot tables with categorical as well as numerical data 鈥� 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 鈥� Line, Bar and Pie charts 鈥� Pivot charts 鈥� Scatter plots 鈥� Histograms...

Top reviews

KN

Jan 29, 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 3, 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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1601 - 1625 of 2,283 Reviews for Introduction to Data Analysis Using Excel

By MAHINDRAKAR S M

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Nov 15, 2020

Thank you

By 肖械褉褍蟹 袘

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Oct 20, 2020

very nice

By Latifa S A K

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Oct 19, 2020

Well done

By Meshach D

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Oct 17, 2020

Excellent

By stella m

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Oct 16, 2020

Thankyou.

By S A S A

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Oct 11, 2020

WELL DONE

By Prakhar P

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Oct 9, 2020

thank you

By ALOK K S

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Sep 19, 2020

very good

By Anup K M

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Sep 13, 2020

Excellent

By David

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Aug 20, 2020

excelente

By Merl M P

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Aug 19, 2020

Very Good

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Jun 12, 2020

Excellent

By Tanzeel A

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May 26, 2020

very good

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May 18, 2020

very good

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May 15, 2020

excellent

By Shaikh A

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May 14, 2020

EXCELLENT

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May 12, 2020

EXCELENTE

By Salim K F

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May 11, 2020

Excellent

By Nafis F

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Apr 27, 2020

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By Badarinadh V

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Feb 29, 2020

excellent

By Marwan A

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Sep 5, 2019

Very good

By Willem A

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May 24, 2019

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By Ganapathi N K

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Jan 31, 2019

Fantastic

By 袙芯褉芯斜褜械胁 袗 袗

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Apr 25, 2018

Excellent

By Nguyen C Q

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Dec 17, 2017

very good