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Avis et commentaires pour d'étudiants pour Introduction to Data Analysis Using Excel par Université de Rice

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À propos du cours

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...

Meilleurs avis

SS
27 avr. 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.

SW
25 mai 2020

The training provided by Dr. Sharad is easy to follow and learn. Bravo and Thank you.\n\nThe level of difficulty from the quiz and the final task is just right and it is making us to think creatively.

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1476 - 1500 sur 2,029 Avis pour Introduction to Data Analysis Using Excel

par Arjun S

17 août 2020

Useful

par Abdullah K A

28 juin 2020

thanks

par Antonio S M

12 août 2017

super!

par akshay

18 août 2021

GREAT

par NEHA N V

13 août 2021

great

par SATNAM B

4 août 2021

Good.

par Randy I

17 nov. 2020

Great

par Harun K

14 oct. 2020

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par Md. R Q S

10 août 2020

great

par Abhishek M

9 août 2020

GREAT

par Tofunmi J O

13 juil. 2020

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par Aarti v

24 avr. 2020

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par p m

5 avr. 2020

great

par Jo E

22 mai 2017

Reall

par Nirmet S

11 mai 2017

great

par Kevin

8 oct. 2021

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par Md Z

13 sept. 2021

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par mohammad k p

20 août 2021

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par Sagar S s

11 août 2021

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par patel d m

30 juil. 2021

good

par Gopavaram R R

22 juil. 2021

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par Yogesh N A

21 juil. 2021

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par LOYAL B

6 juil. 2021

good

par Deleted A

4 juin 2021

nice

par D B

8 avr. 2021

Good