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Steve Ryan and Sandip Saha Joy

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Please Note: Learners who successfully complete this IBM course can earn a skill badge — a detailed, verifiable and digital credential that profiles the knowledge and skills you’ve acquired in this course. Enroll to learn more, complete the course and claim your badge!

This course provides students with the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis.The course consists of several videos, demos, examples, and hands-on labs to help you learn, and ends with a final assignment project which will help you put what you have learned into practice.

Excel is an important tool when working with data - whether it is for business, marketing, research, or data analysis purposes. This course is targeted at those people who have ambitions in Data Analytics or Data Scientist roles, as well as those who just have a need to use Excel to perform data analysis in their own company or environment.

Learners will gain useful experience in the cleaning and wrangling of data using functions, and in analyzing data using methods such as sorting, filtering, and pivot tables. This course starts with an introduction to spreadsheet applications such as Microsoft Excel and Google Sheets and discusses importing data from multiple different formats. During this introduction you will learn to carry out some basic-level data wrangling and data cleaning tasks and then you will expand your knowledge of data analysis via the use of sorting, filtering, and pivot tables in a spreadsheet.

The emphasis is on applied learning and hands-on practice in this course, and with each hands-on lab, you will gain further experience in the manipulation and handling of data and start to understand the important role that spreadsheets can perform in a data analysis environment. The final assignment project will allow you to apply these newly acquired skills to analyze data in a business scenario. By the end of this course, you will have worked with several data sets and spreadsheets and demonstrated the basics of cleaning and analyzing data all without having to learn any code.

This course makes it simple to get started using Excel for data analysis, as it does not require any previous spreadsheet or code-writing experience. The course also does not require you to perform any software downloads or installations. All that is required is a device with a modern web browser, and the ability to use (or create) a Microsoft account to access Excel online at no-cost. Although the hands-on labs steps are specifically related to using ‘Excel for the web’, if you already have the full desktop version of Excel, you should be able to use that to follow along quite easily with the labs.

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What's inside

Learning objectives

  • Review fundamentals of spreadsheet applications
  • Perform basic spreadsheet tasks
  • Explain the importance of data quality
  • Import file data into excel
  • Filter and sort data
  • Clean and prepare data
  • Analyze data using an excel spreadsheet

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Examines data cleaning and analysis, which are essential skills in roles such as data analyst and data scientist
Develops competency in manipulating and handling data in a spreadsheet environment
Teaches learners how to import and prepare data from multiple sources
Introduces spreadsheet applications such as Microsoft Excel and Google Sheets
Utilizes hands-on labs to help learners gain practical experience
Provides a final assignment project to reinforce learning and apply skills

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Analyzing Data with Excel with these activities:
Attend a data analytics meetup
Attend a data analytics meetup to connect with other professionals in the field and learn about new trends and developments.
Browse courses on Data Analysis
Show steps
  • Find a data analytics meetup in your area
  • Register for the event
  • Attend the meetup and network with other attendees
Join a study group for data analysis
Join a study group for data analysis to collaborate with other learners, share knowledge, and prepare for assessments.
Browse courses on Data Analysis
Show steps
  • Find a study group for data analysis
  • Meet with the study group regularly
  • Discuss the course material, work on problems together, and prepare for assessments
Follow tutorials on data analysis techniques
Follow tutorials to expand your knowledge of data analysis techniques and enhance your skills in using Excel.
Browse courses on Data Analysis
Show steps
  • Find a tutorial on a specific data analysis technique
  • Watch the tutorial
  • Practice the technique
Four other activities
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Show all seven activities
Volunteer for a data analysis project
Volunteer for a data analysis project to gain practical experience and apply your skills to real-world problems.
Browse courses on Data Analysis
Show steps
  • Find a data analysis project to volunteer for
  • Contact the organization and express your interest
  • Contribute to the project by applying your data analysis skills
Create a data analysis spreadsheet
Create a spreadsheet to practice your data analysis skills and solidify your understanding of the concepts covered in the course.
Browse courses on Data Analysis
Show steps
  • Choose a data set
  • Import the data into Excel
  • Clean and prepare the data
  • Analyze the data using Excel functions
Participate in a data analysis workshop
Participate in a data analysis workshop to learn new techniques and enhance your skills in using Excel.
Browse courses on Data Analysis
Show steps
  • Find a data analysis workshop
  • Register for the workshop
  • Attend the workshop and participate in the activities
Solve data analysis problems
Solve data analysis problems to reinforce your understanding of the concepts and techniques covered in the course.
Browse courses on Data Analysis
Show steps
  • Find a data set
  • Identify the problem statement
  • Analyze the data
  • Develop a solution

Career center

Learners who complete Analyzing Data with Excel will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data analysts help make informed business decisions by transforming raw data into meaningful insights. This course introduces you to Excel, a powerful tool that data analysts use to organize, clean, and analyze data. By completing this course, you will enhance your data analysis skills and make yourself a more competitive candidate for data analyst positions.
Data Scientist
Data scientists use a variety of tools and techniques to extract insights from data. Excel is a common tool used by data scientists for data cleaning, analysis, and visualization. This course provides a solid foundation in Excel, helping you develop the skills needed to succeed in data scientist roles.
Business Analyst
Business analysts help businesses improve their performance by identifying and solving problems. Excel is widely used by business analysts to analyze data, create reports, and make recommendations. By learning the basics of Excel through this course, you will enhance your ability to perform these tasks and advance your career as a business analyst.
Financial Analyst
Financial analysts use financial data to make recommendations on investments and financial decisions. Excel is a key tool for financial analysts, as it allows them to perform complex calculations, analyze trends, and create financial models. This course provides a strong foundation in Excel, helping you develop the skills needed to succeed in financial analyst roles.
Market Researcher
Market researchers gather and analyze data to understand customer needs and preferences. Excel is commonly used by market researchers to organize and analyze survey data, conduct market analysis, and create reports. By learning the basics of Excel through this course, you will enhance your ability to perform these tasks and advance your career as a market researcher.
Operations Analyst
Operations analysts help businesses improve their efficiency and effectiveness. Excel is often used by operations analysts to analyze data, identify bottlenecks, and develop improvement plans. This course provides a solid foundation in Excel, helping you develop the skills needed to succeed in operations analyst roles.
Project Manager
Project managers use a variety of tools and techniques to plan, execute, and deliver projects. Excel is a commonly used tool for project managers to track progress, manage budgets, and create reports. This course provides a good foundation in Excel, helping you develop the skills needed for project management.
Supply Chain Analyst
Supply chain analysts help businesses optimize their supply chains. Excel is a popular tool for supply chain analysts, as it allows them to track inventory, analyze data, and create reports. This course provides a solid foundation in Excel, helping you develop the skills needed to be a successful supply chain analyst.
Accountant
Accountants use financial information to help businesses make informed decisions. Excel is extensively used by accountants for tasks such as financial planning, budgeting, and auditing. By completing this course, you will enhance your Excel skills and become more proficient in performing accounting tasks.
Auditor
Auditors examine financial records to ensure accuracy and compliance. Excel is commonly used by auditors to analyze data, identify discrepancies, and prepare audit reports. This course provides a good foundation in Excel, helping you develop the skills needed to succeed as an auditor.
Consultant
Consultants provide expert advice and solutions to help businesses improve their performance. Excel is a widely used tool for consultants, as it allows them to analyze data, create reports, and make recommendations. By completing this course, you will enhance your Excel skills and become a more effective consultant.
Data Entry Clerk
Data entry clerks input and maintain data in computer systems. Some data entry clerks use Excel to enter and organize data, making this course a valuable asset for those seeking to enter or advance in this field.
Office Administrator
Office administrators perform a variety of administrative tasks, including data entry, scheduling, and managing office supplies. Having a good foundation in Excel can help office administrators become more efficient in these tasks, making this course a good choice for those in this field.
Customer Service Representative
Customer service representatives assist customers with inquiries and resolve issues. While Excel may not be a core requirement for this role, having proficiency in Excel can enhance a customer service representative's ability to organize and analyze customer data, which may lead to better customer satisfaction and improved problem-solving.
Marketing Assistant
Marketing assistants support marketing professionals with various tasks, including data entry, social media management, and event planning. Excel is a helpful tool for marketing assistants to organize and analyze marketing data, making this course a valuable asset for those seeking to enter or advance in this field.

Reading list

We've selected nine books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Analyzing Data with Excel.
Provides a comprehensive overview of Excel functions and features used in data analysis, including importing, cleaning, and analyzing data.
Covers data analysis and visualization techniques in Excel relevant to data science and business analytics, including statistical modeling and predictive analytics.
This textbook provides a theoretical foundation for data analysis principles and statistical methods, using Excel to illustrate concepts.
Provides a comprehensive introduction to data science using the R programming language. While it focuses on R, it can serve as a useful reference for understanding data analysis techniques and concepts that may be applicable to Excel as well.
Introduces learners to data analysis using SQL, a structured query language commonly used for data retrieval and manipulation. While it focuses on SQL, it can provide a good foundation for understanding data analysis concepts relevant to Excel as well.
Provides a broad overview of data science principles and techniques, including data collection, analysis, and visualization. While it covers a range of tools and techniques beyond Excel, it can offer valuable insights into the broader context of data analysis.
Provides a beginner-friendly introduction to data analysis using the R programming language. While it focuses on R, it can serve as a useful reference for understanding data analysis concepts that may be applicable to Excel as well.
Introduces learners to machine learning concepts and algorithms using Python. While it focuses on Python, it can provide a good foundation for understanding the principles of machine learning, which may be relevant to data analysis in Excel.

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