Introduction to Data Analysis Using Excel

  • 4.7
Approx. 20 hours to complete

Course Summary

Learn how to use Excel for data analysis, including techniques for organizing and visualizing data, and creating interactive dashboards.

Key Learning Points

  • Understand how to use Excel for data analysis
  • Learn techniques for organizing and visualizing data
  • Create interactive dashboards

Related Topics for further study


Learning Outcomes

  • Ability to use Excel for data analysis
  • Skills in organizing and visualizing data
  • Ability to create interactive dashboards

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of Excel
  • Access to Microsoft Excel

Course Difficulty Level

Beginner

Course Format

  • Online self-paced
  • Video lectures
  • Hands-on exercises

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Related Books

Description

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.

Outline

  • Introduction to Spreadsheets
  • Meet the Professor
  • Reading Data into Excel
  • Basic Data Manipulation in Excel
  • Arithmetic Manipulation in Excel
  • Basic Functions in Excel
  • Functions Using Absolute and Relative References
  • Functions Explained
  • Week 1 Recap
  • Course FAQs
  • Pre-Course Survey
  • Store Sales (Comma delimited).txt
  • Store Sales (Fixed width).txt
  • Stores Sales (Tab delimited Text).txt
  • Reading Data into Excel
  • Basic Data Manipulation in Excel
  • Arithmetic Manipulation in Excel
  • Basic Functions in Excel
  • Functions Using Absolute and Relative References
  • Functions Explained
  • Introduction to Spreadsheets
  • Spreadsheet Functions to Organize Data
  • The “IF” Command in Excel
  • The “IF” Command in Excel Using Numerical Data
  • The "Nested IF" Command in Excel
  • The "VLOOKUP" Function in Excel
  • Another "VLOOKUP" Example
  • The "HLOOKUP" Function in Excel
  • Professor 'Know-it-all' Needs Help!
  • Week 2 Recap
  • The "IF" Command in Excel
  • The “IF” Command in Excel Using Numerical Data
  • The "Nested IF" Command in Excel
  • The "VLOOKUP" Function in Excel
  • Another "VLOOKUP" Example
  • The "HLOOKUP" Function in Excel
  • Professor 'Know-it-all' Needs Help!
  • Spreadsheet Functions to Organize Data
  • Introduction to Filtering, Pivot Tables, and Charts
  • Using the “VLOOKUP” Function Across Worksheets
  • Data Filtering in Excel
  • Use of Pivot Tables in Excel
  • More Pivot Table Options
  • Application of Pivot Tables to Numeric Data
  • Introduction to Charts in Excel
  • Week 3 Recap
  • Using the “VLOOKUP” Function Across Worksheets
  • Data Filtering in Excel
  • Use of Pivot Tables in Excel
  • More Pivot Table Options
  • Application of Pivot Tables to Numeric Data
  • Introduction to Charts in Excel
  • Introduction to Filtering, Pivot Tables, and Charts
  • Advanced Graphing and Charting
  • Line Graphs
  • Bar Graphs and Pie Charts
  • Pivot Charts
  • Scatter Plots
  • Histograms Part 1
  • Histograms Part 2
  • Week 4 Recap
  • End-of-Course Survey
  • Line Graphs
  • Bar Graphs and Pie Charts
  • Pivot Charts
  • Scatter Plots
  • Histograms Part 1
  • Histograms Part 2
  • Advanced Graphing and Charting

Summary of User Reviews

Discover the power of Excel data analysis with this comprehensive course. Students rave about the course and the instructor's expertise in the subject matter. One key aspect that many users thought was good is the practicality of the course material, which is geared towards real-world applications.

Pros from User Reviews

  • The course material is practical and applicable to real-world scenarios
  • The instructor is knowledgeable and engaging
  • The course is well-structured and easy to follow
  • The assignments and quizzes provide excellent opportunities to practice and reinforce concepts
  • The course offers a great value for the price

Cons from User Reviews

  • Some users felt that the course could benefit from more advanced topics and exercises
  • A few users mentioned technical difficulties with the platform
  • A small number of users felt that the course was too basic or slow-paced
English
Available now
Approx. 20 hours to complete
Sharad Borle
Rice University
Coursera

Instructor

Sharad Borle

  • 4.7 Raiting
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