Chevron Left
Voltar para Introduction to Data Analysis Using Excel

Comentários e feedback de alunos de Introduction to Data Analysis Using Excel da instituição Universidade Rice

4.7
estrelas
4,773 classificações
1,090 avaliações

Sobre o curso

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...

Melhores avaliações

SS

Apr 28, 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

May 26, 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.

Filtrar por:

776 — 800 de {totalReviews} Avaliações para o Introduction to Data Analysis Using Excel

por Khalid M B

Mar 22, 2020

Awesome!

por olindo

Apr 01, 2019

Usefull!

por enrique a r

Jan 29, 2019

thanks!!

por jittu s

Mar 10, 2019

superb.

por Mahammadrza J

Jun 01, 2018

5 stars

por Antonio S M

Aug 12, 2017

super!

por Aarti v

Apr 24, 2020

GREAT

por Parasurampuram S M

Apr 05, 2020

great

por Jo E

May 22, 2017

Reall

por Nirmet S

May 11, 2017

great

por Balachandra A

Jun 05, 2020

good

por Swetha R

Jun 04, 2020

Good

por Sanket B

May 25, 2020

Good

por Karalmarx R

Apr 06, 2020

Good

por Gokulakrishnan M

Mar 30, 2020

Good

por Joy P S

Jun 09, 2019

Best

por SHRINIVAS K

Feb 06, 2018

good

por Ren P

Apr 11, 2017

good

por Utkarsh B

Nov 08, 2016

good

por shunewsever@outlook.com

Oct 18, 2016

good

por Khaldoon M A

Jan 11, 2019

...

por Won B K

Jul 03, 2018

Th

por Tushar B

May 28, 2020

.

por Mustafa H

Apr 06, 2020

.

por Shantel S

Jan 17, 2020

e