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⇱ Introduction to Data Analysis Using Excel | Coursera


Introduction to Data Analysis Using Excel

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Introduction to Data Analysis Using Excel

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Gain insight into a topic and learn the fundamentals.
4.7

10,500 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
93%
Most learners liked this course

Gain insight into a topic and learn the fundamentals.
4.7

10,500 reviews

2 weeks to complete
at 10 hours a week
Flexible schedule
Learn at your own pace
93%
Most learners liked this course

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Assessments

29 assignments

Taught in English

Build your subject-matter expertise

This course is part of the Business Statistics and Analysis Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
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There are 4 modules in this 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

What's included

9 videos10 readings7 assignments

9 videosTotal 44 minutes
  • Introduction to Data Analysis Using Excel2 minutes
  • Meet the Professor2 minutes
  • Reading Data into Excel7 minutes
  • Basic Data Manipulation in Excel7 minutes
  • Arithmetic Manipulation in Excel4 minutes
  • Basic Functions in Excel7 minutes
  • Functions Using Absolute and Relative References7 minutes
  • Functions Explained7 minutes
  • Week 1 Recap1 minute
10 readingsTotal 100 minutes
  • Course FAQs10 minutes
  • Pre-Course Survey10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales (Comma delimited).txt10 minutes
  • Store Sales (Tab delimited Text).txt10 minutes
  • Store Sales (Fixed width).txt10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Survey results.xlsx10 minutes
7 assignmentsTotal 240 minutes
  • Introduction to Spreadsheets60 minutes
  • Reading Data into Excel30 minutes
  • Basic Data Manipulation in Excel30 minutes
  • Arithmetic Manipulation in Excel30 minutes
  • Basic Functions in Excel30 minutes
  • Functions Using Absolute and Relative References30 minutes
  • Functions Explained30 minutes

Introduction to some more useful functions such as the IF, nested IF, VLOOKUP and HLOOKUP functions in Excel.

What's included

8 videos6 readings8 assignments

8 videosTotal 54 minutes
  • The “IF” Command in Excel7 minutes
  • The “IF” Command in Excel Using Numerical Data5 minutes
  • The "Nested IF" Command in Excel8 minutes
  • The "VLOOKUP" Function in Excel12 minutes
  • Another "VLOOKUP" Example10 minutes
  • The "HLOOKUP" Function in Excel7 minutes
  • Professor 'Know-it-all' Needs Help!5 minutes
  • Week 2 Recap1 minute
6 readingsTotal 60 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Student Names.xlsx10 minutes
8 assignmentsTotal 270 minutes
  • Spreadsheet Functions to Organize Data60 minutes
  • The "IF" Command in Excel30 minutes
  • The “IF” Command in Excel Using Numerical Data30 minutes
  • The "Nested IF" Command in Excel30 minutes
  • The "VLOOKUP" Function in Excel30 minutes
  • Another "VLOOKUP" Example30 minutes
  • The "HLOOKUP" Function in Excel30 minutes
  • Professor 'Know-it-all' Needs Help!30 minutes

Introduction to the Data filtering capabilities of Excel, the construction of Pivot Tables to organize data and introduction to charts in Excel.

What's included

7 videos6 readings7 assignments

7 videosTotal 50 minutes
  • Using the “VLOOKUP” Function Across Worksheets9 minutes
  • Data Filtering in Excel7 minutes
  • Use of Pivot Tables in Excel7 minutes
  • More Pivot Table Options8 minutes
  • Application of Pivot Tables to Numeric Data10 minutes
  • Introduction to Charts in Excel8 minutes
  • Week 3 Recap1 minute
6 readingsTotal 60 minutes
  • Summer Olympic medals 1976 to 2016.xlsx10 minutes
  • Summer Olympic medals 1976 to 2016.xlsx10 minutes
  • Summer Olympic medals 1976 to 2016.xlsx10 minutes
  • Summer Olympic medals 1976 to 2016.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
7 assignmentsTotal 214 minutes
  • Introduction to Filtering, Pivot Tables, and Charts60 minutes
  • Using the “VLOOKUP” Function Across Worksheets30 minutes
  • Data Filtering in Excel30 minutes
  • Use of Pivot Tables in Excel30 minutes
  • More Pivot Table Options30 minutes
  • Application of Pivot Tables to Numeric Data4 minutes
  • Introduction to Charts in Excel30 minutes

Constructing various Line, Bar and Pie charts. Using the Pivot chart features of Excel. Understanding and constructing Histograms and Scatterplots.

What's included

8 videos6 readings7 assignments

8 videosTotal 51 minutes
  • Line Graphs8 minutes
  • Bar Graphs and Pie Charts12 minutes
  • Pivot Charts7 minutes
  • Scatter Plots8 minutes
  • Histograms Part 16 minutes
  • Histograms Part 28 minutes
  • Week 4 Recap1 minute
  • Congratulations on Completing the Course1 minute
6 readingsTotal 60 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Store Sales.xlsx10 minutes
  • Height and Weight.xlsx10 minutes
  • CEO Salary (small firms).xlsx10 minutes
  • End-of-Course Survey10 minutes
7 assignmentsTotal 240 minutes
  • Advanced Graphing and Charting60 minutes
  • Line Graphs30 minutes
  • Bar Graphs and Pie Charts30 minutes
  • Pivot Charts30 minutes
  • Scatter Plots30 minutes
  • Histograms Part 130 minutes
  • Histograms Part 230 minutes

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Instructor

Instructor ratings
4.7 (2,309 ratings)
Rice University
8 Courses374,177 learners

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Showing 3 of 10500

AM
·

Reviewed on 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.

JR
·

Reviewed on Jun 23, 2019

Brief Course with very efficiently organized course material. The way of teaching was very good in simple way.A great course in MS Excel for beginners to have an in-depth knowledge with confidence.

AA
·

Reviewed on Oct 17, 2017

This is amazing to see that i have completed the course with so much logical and analytical questions been answered. It is really valued a lot the course and lots of useful information to learn.

Frequently asked questions

You'll learn how to use Excel to import, organize, analyze, and visualize data so you can work more confidently with everyday spreadsheets. It starts with spreadsheet basics and formulas, then builds into lookup functions, pivot tables, and more advanced charting. In the practice work, you'll use datasets like store sales files to calculate results, summarize trends, and present them clearly.

No, you don't need strong Excel experience. It begins with importing data, basic functions, and formula references before moving into more advanced features, so prior data analysis knowledge isn't expected. You will need access to a Windows version of Microsoft Excel 2010 or later, because the assignments rely on it.

Yes, it's a good fit if you're new to using Excel for analysis or only use it for simple day-to-day tasks. The lessons move step by step from core spreadsheet work into filters, pivot tables, and charts, with examples that show how each feature is used. It may feel too basic if you're already comfortable doing advanced analysis in Excel.

Plan on about 24 hours in total. At roughly 10 hours a week, that comes to around 2 to 3 weeks of steady work through lessons, readings, quizzes, and assignments built around spreadsheet files. The workload mixes explanation with dataset-based practice, so you can make progress in manageable chunks.

Yes, there's plenty of hands-on practice, though it's guided work rather than a single open-ended project. You'll work directly with provided Excel files to import data, write formulas, summarize information, and create charts. Examples include sales and Olympic medal datasets, so you apply each idea in an actual workbook as you learn it.

The course focuses on everyday Excel skills for bringing data into a usable spreadsheet, analyzing it with formulas and lookup functions, and turning it into clear summaries and visuals. You'll also use filters and pivot tables to explore both text and numeric data, then choose chart formats that show patterns clearly. By the end, you'll have a solid picture of how Excel supports data analysis from raw file to visual summary.

You should be able to take a simple dataset in Excel, organize it, run common calculations, and build useful summaries from it. You'll also be able to use lookup functions, pivot tables, and charts to answer straightforward questions about the data. For example, you could analyze a sales spreadsheet, calculate totals or discounts, and create a chart or summary table that highlights trends.

It's more hands-on than theory-heavy, but the practice is guided rather than project-driven. Most topics are taught through worked spreadsheet examples and then reinforced through quizzes and assignments, which suits learners who want to learn Excel by using it step by step.

This course is a strong choice if you want to learn Excel as a data analysis tool, not just pick up isolated spreadsheet tricks. It moves from basic spreadsheet use into lookups, pivot tables, filtering, and charting through repeated work on real datasets, so the progression feels practical and easy to follow. If you want a clear path from beginner-level Excel skills to analyzing and presenting data, this course is likely a better fit than a course that jumps straight into advanced features.

Financial aid available,