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Excel Basics for Data Analysis
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IBM

Excel Basics for Data Analysis

This course is part of multiple programs.

This course is part of multiple programs

IBM Business Analyst Professional Certificate
IBM Business Intelligence (BI) Analyst Professional Certificate
IBM Data Analytics with Excel and R Professional Certificate
Data Analysis and Visualization Foundations Specialization
IBM Data Analyst Professional Certificate
IBM Data Management Professional Certificate
Sandip Saha Joy
Steve Ryan

Instructors: Sandip Saha Joy

Instructors

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.7 (3,253 ratings)
Sandip Saha Joy
Sandip Saha Joy
IBM
5 Courses•613,473 learners
Steve Ryan
Steve Ryan
IBM
12 Courses•688,381 learners

511,515 already enrolled

Included with Coursera Plus

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Learn more

5 modules
Gain insight into a topic and learn the fundamentals.
4.8

(10,091 reviews)

Beginner level

Recommended experience

Recommended experience

Beginner level

No prior experience with spreadsheets or coding needed. All you need to get started is a device with a modern web browser.

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
96%
Most learners liked this course

5 modules
Gain insight into a topic and learn the fundamentals.
4.8

(10,091 reviews)

Beginner level

Recommended experience

Recommended experience

Beginner level

No prior experience with spreadsheets or coding needed. All you need to get started is a device with a modern web browser.

Flexible schedule
1 week at 10 hours a week
Learn at your own pace
96%
Most learners liked this course
  • About
  • Outcomes
  • Modules
  • Recommendations
  • Testimonials
  • Reviews

What you'll learn

  • Display working knowledge of Excel for Data Analysis.

  • Perform basic spreadsheet tasks including navigation, data entry, and using formulas.

  • Employ data quality techniques to import and clean data in Excel.

  • Analyze data in spreadsheets by using filter, sort, look-up functions, as well as pivot tables.

Skills you'll gain

  • Spreadsheet Software
  • Data Quality
  • Data Import/Export
  • Microsoft Excel
  • Data Cleansing
  • Data Science
  • Data Visualization Software
  • Information Privacy
  • Excel Formulas
  • Pivot Tables And Charts
  • Data Analysis
  • Google Sheets
  • Data Wrangling
  • Data Manipulation

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

12 assignments

Taught in English

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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 5 modules in this course

Spreadsheet tools like Excel are an essential tool for working with data - whether for data analytics, business, marketing, or research. This course is designed to give you a basic working knowledge of Excel and how to use it for analyzing data.

This course is suitable for those who are interested in pursuing a career in data analysis or data science, as well as anyone looking to use Excel for data analysis in their own domain. No prior experience with spreadsheets or coding is required - all you need is a device with a modern web browser and the ability to create a Microsoft account to access Excel online at no cost. If you have a desktop version of Excel, you can also easily follow along with the course. Throughout this course, you'll gain valuable experience working with data sets and spreadsheets. We'll start by introducing you to spreadsheets like Microsoft Excel and Google Sheets, and show you how to load data from multiple formats. From there, you'll learn how to perform basic data wrangling and cleansing tasks using functions, and expand your knowledge of data analysis through the use of filtering, sorting, and pivot tables. There is a strong focus on practice and applied learning in this course. With each lab, you'll have the opportunity to manipulate data and gain hands-on experience using Excel. You'll learn how to clean and format your data efficiently, and convert it into a pivot table to make it more organized and readable. The final project will allow you to showcase your newly acquired data analysis skills by working with real data sets and spreadsheets. By the end of this course, you'll have a solid foundation in using Excel for data analysis. You'll have worked with multiple data sets and spreadsheets, and will have the skills and knowledge needed to effectively clean and analyze data without having to learn any code. So let's get started!

In this module, you will learn about the fundamentals of spreadsheet applications, and you will be introduced to the Excel interface and learn how to navigate your way around a worksheet and workbook.

What's included

5 videos1 reading2 assignments3 plugins

5 videos•Total 26 minutes
  • Course Introduction•2 minutes
  • Introduction to Spreadsheets•5 minutes
  • Spreadsheet Basics - Part 1•5 minutes
  • Spreadsheet Basics - Part 2•6 minutes
  • Viewpoints: Using Spreadsheets as a Data Analysis Tool•5 minutes
1 reading•Total 10 minutes
  • Summary and Highlights•10 minutes
2 assignments•Total 15 minutes
  • Practice Quiz•6 minutes
  • Graded Quiz•9 minutes
3 plugins•Total 50 minutes
  • Reading: Excel Keyboard Shortcuts•10 minutes
  • Hands-on Lab: Getting Started with Excel Online•20 minutes
  • Hands-on Lab 2: Spreadsheet Basics•20 minutes

In this module you will learn how to perform basic spreadsheet tasks, such as viewing, entering and editing data, and moving, copying and filling data. In addition, you will learn about the fundamentals of formulas, and learn about the most common functions used by a data analyst. Finally, you will learn how to reference data in formulas.

What's included

5 videos2 readings2 assignments2 plugins

5 videos•Total 35 minutes
  • Viewing, Entering, and Editing Data•5 minutes
  • Copying, Filling, and Formatting Cells and Data•7 minutes
  • The Basics of Formulas•7 minutes
  • Intro to Functions•5 minutes
  • Referencing Data in Formulas•9 minutes
2 readings•Total 20 minutes
  • Sample datasets used in the video•10 minutes
  • Summary and Highlights•10 minutes
2 assignments•Total 33 minutes
  • Practice Quiz •12 minutes
  • Graded Quiz•21 minutes
2 plugins•Total 60 minutes
  • Hands-on Lab 3: Entering and Formatting Data•30 minutes
  • Hands-on Lab 4: Simple Use of Functions•30 minutes

In this module, you will learn about the importance of data quality, and you will learn how to import file data in to Excel. You will also learn about the fundamentals of data privacy. In addition, you will learn how to remove duplicate and inaccurate data, and how to remove empty rows in your data. Finally, you will learn how to deal with inconsistencies in your data and how to use the Flash Fill and Text to Columns features to help you manipulate and standardize your data.

What's included

8 videos3 readings4 assignments1 plugin

8 videos•Total 47 minutes
  • Introduction to Data Quality•3 minutes
  • Importing File Data•5 minutes
  • Basics of Data Privacy•5 minutes
  • Viewpoints: Data Quality and Privacy•4 minutes
  • Removing Duplicated or Inaccurate Data and Empty Rows•8 minutes
  • Dealing with Inconsistencies in Data•9 minutes
  • More Excel Features for Cleaning Data•6 minutes
  • Viewpoints: Issues with Data Quality•4 minutes
3 readings•Total 30 minutes
  • Summary and Highlights•10 minutes
  • Disclaimer: About Flash Fill features covered in the next "More Excel Features for Cleaning Data" video•10 minutes
  • Summary and Highlights•10 minutes
4 assignments•Total 52 minutes
  • Practice Quiz •10 minutes
  • Practice Quiz•12 minutes
  • Graded Quiz•9 minutes
  • Graded Quiz•21 minutes
1 plugin•Total 45 minutes
  • Hands-on Lab 5: Cleaning Data•45 minutes

In this module, you will learn about the fundamentals of analyzing data using a spreadsheet, and learn how to filter and sort data. You will also learn how to use some of the most useful functions for a data analyst, and how to use the VLOOKUP and HLOOKUP reference functions. In addition, you will learn how to create pivot tables in Excel, and use several pivot table features.

What's included

8 videos3 readings4 assignments3 plugins

8 videos•Total 56 minutes
  • Intro to Analyzing Data Using Spreadsheets•5 minutes
  • Filtering and Sorting Data in Excel•7 minutes
  • Viewpoints: Filtering and Sorting•1 minute
  • Useful Functions for Data Analysis•11 minutes
  • Using the VLOOKUP and HLOOKUP Functions•9 minutes
  • Introduction to Creating Pivot Tables in Excel•7 minutes
  • Viewpoints: Pivot Tables•3 minutes
  • Pivot Table Features•9 minutes
3 readings•Total 30 minutes
  • Sample datasets used in the video•10 minutes
  • Summary and Highlights•10 minutes
  • Summary and Highlights•10 minutes
4 assignments•Total 50 minutes
  • Practice Quiz•10 minutes
  • Practice Quiz•10 minutes
  • Graded Quiz•15 minutes
  • Graded Quiz•15 minutes
3 plugins•Total 75 minutes
  • Reading: Advanced Excel Formulas: COUNTIFS, SUMIFS, and XLOOKUP•15 minutes
  • Hands-on Lab 6: Filtering and Sorting Data•30 minutes
  • Hands-on Lab 7: Using Pivot Tables•30 minutes

Great! You have now completed all four modules of this course. In this final module, you will be introduced to a hands-on lab where you will complete a graded assignment for cleaning and preparing data, and then analyzing data using an Excel spreadsheet. This final assignment will be graded by your peers.

What's included

2 readings1 peer review2 plugins

2 readings•Total 6 minutes
  • Congratulations and Next Steps•5 minutes
  • Course Credits and Acknowledgements•1 minute
1 peer review•Total 60 minutes
  • Final Assignment - Part 3: Submit Your Work and Peer Review•60 minutes
2 plugins•Total 30 minutes
  • Final Assignment - Part 1: Clean and Prepare the Data•15 minutes
  • Final Assignment - Part 2: Analyze the Data•15 minutes

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Instructors

Instructor ratings

Instructor ratings

We asked all learners to give feedback on our instructors based on the quality of their teaching style.

4.7 (3,253 ratings)
Sandip Saha Joy
Sandip Saha Joy
IBM
5 Courses•613,473 learners
Steve Ryan
Steve Ryan
IBM
12 Courses•688,381 learners

Offered by

IBM

Offered by

IBM

At IBM, we know how rapidly tech evolves and recognize the crucial need for businesses and professionals to build job-ready, hands-on skills quickly. As a market-leading tech innovator, we’re committed to helping you thrive in this dynamic landscape. Through IBM Skills Network, our expertly designed training programs in AI, software development, cybersecurity, data science, business management, and more, provide the essential skills you need to secure your first job, advance your career, or drive business success. Whether you’re upskilling yourself or your team, our courses, Specializations, and Professional Certificates build the technical expertise that ensures you, and your organization, excel in a competitive world.

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Learner reviews

4.8

10,091 reviews

  • 5 stars

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  • 3 stars

    2.23%

  • 2 stars

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Showing 3 of 10091

L
LM
4

Reviewed on Jun 15, 2022

Very content with skills I learnt. However, some sections are not well explained and it seemed like the instructor was just going through them. For instance when teaching about "Flash Fill".

T
TH
5

Reviewed on Dec 23, 2021

Great course, even for those people that are using Excel every day, this course shows quite a few different ways to improve your abilities to present the data and best practices for cleaning dat.

M
MW
5

Reviewed on Jul 23, 2023

As an aspiring data analyst, this course gave me more information about what I am currently doing and after finishing this course I have learned a lot and gave me more interest to learn more.

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