Fundamentals of Data Analysis in Excel (Coursera)

Fundamentals of Data Analysis in Excel (Coursera)

Excel is the most widely used analysis tool in the world and a great starting point for diving into data analysis. In this course, you’ll apply Excel’s native tools to structure your data into spreadsheets and tables. You’ll then analyze and produce insights from that data using pivot tables. Finally, you’ll visualize those insights by building a dashboard in Excel. You’ll apply these skills using modern functionality like dynamic array formulas, linked data types, and Ideas in Excel. You’ll work hands-on with real-world scenarios, using datasets pulled from financial statements and retail sales.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

By the end of the course, you'll be able to:

  • analyze a dataset using native Excel tools
  • apply Excel tools and formulas to transform and structure your data
  • create pivot tables to slice and dice your data
  • visualize data with pivot charts and Excel Charts
  • describe the landscape of data analysis and visualization

This course is part of the Data Skills for Excel Professionals Specialization.

Syllabus

Getting Started
Welcome to the Fundamentals of Data Analysis in Excel course.

Analyze Data
In this module, we will learn to analyze a dataset using native Excel tools.

Transform Data
In this module, we will learn to apply Excel tools and formulas to transform and structure our data.

Excel Tables
In this module, we will learn to apply Excel tools and formulas to transform and structure our data.

Dynamic Arrays

Pivot Tables
In this module, we will learn to explore the landscape of data analysis and visualization and create pivot tables to slice and dice your data.

Visualize Data
In this module, we will learn to visualize data with pivot and Excel charts.

Course Conclusion

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Football: More than a Game (Coursera) Coursera
University of Edinburgh

Football: More than a Game (Coursera)

Explore the world of football (soccer), the money, the rivalries, the trends, the past, the present, the men’s game, the women's game and the real issues. Whether you love it, hate it or try to ignore it – join us as we go behind the scenes to examine why football is more than just a game.

Sep 21st 2026
5-12 Weeks
Google Sheets - Advanced Topics (Coursera) Coursera
Google Cloud

Google Sheets - Advanced Topics (Coursera)

This course builds on some of the concepts covered in the earlier Google Sheets course. In this course, you will learn how to apply and customize themes In Google Sheets, and explore conditional formatting options. You will learn about some of Google Sheets’ advanced formulas and functions. You will explore how to create formulas using functions, and you will also learn how to reference and validate your data in a Google Sheet.

Sep 21st 2026
1 Week
Analyzing and Visualizing Data in Looker (Coursera) Coursera
Google Cloud

Analyzing and Visualizing Data in Looker (Coursera)

In this course, you learn how to do the kind of data exploration and analysis in Looker that would formerly be done primarily by SQL developers or analysts. Upon completion of this course, you will be able to leverage Looker's modern analytics platform to find and explore relevant content in your organization’s Looker instance, ask questions of your data, create new metrics as needed, and build and share visualizations and dashboards to facilitate data-driven decision making.

Sep 28th 2026
2 Weeks
Data Science Ethics (Coursera) Coursera
University of Michigan

Data Science Ethics (Coursera)

What are the ethical considerations regarding the privacy and control of consumer information and big data, especially in the aftermath of recent large-scale data breaches? This course provides a framework to analyze these concerns as you examine the ethical and privacy implications of collecting and managing big data. Explore the broader impact of the data science field on modern society and the principles of fairness, accountability and transparency as you gain a deeper understanding of the importance of a shared set of ethical values.

Sep 21st 2026
4 Weeks
Doing Economics: Measuring Climate Change (Coursera) Coursera
University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Sep 21st 2026
4 Weeks
Case studies in business analytics with ACCENTURE (Coursera) Coursera
ESSEC Business School

Case studies in business analytics with ACCENTURE (Coursera)

This course is RESTRICTED TO LEARNERS ENROLLED IN Strategic Business Analytics SPECIALIZATION as a preparation to the capstone project. During the first two MOOCs, we focused on specific techniques for specific applications. Instead, with this third MOOC, we provide you with different examples to open your mind to different applications from different industries and sectors. The objective is to give you an helicopter overview on what's happening in this field. You will see how the tools presented in the two previous courses of the Specialization are used in real life projects.

Sep 21st 2026
3 Weeks
Power Query Fundamentals (Coursera) Coursera
Corporate Finance Institute

Power Query Fundamentals (Coursera)

In this online Power Query Fundamentals course, we’ll explore the world of data transformation and automation. You’ll learn to extract data from multiple different sources, and transform it into layouts more suited to analysis. We will show you how to automate data connections and transformations, as well as how to extract and consolidate data from multiple files. Finally, we’ll end by looking at how to deal with common errors.

Sep 28th 2026
5-12 Weeks
Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Sep 21st 2026
3 Weeks
Empathy, Data, and Risk (Coursera) Coursera
University of Illinois at Urbana-Champaign

Empathy, Data, and Risk (Coursera)

Risk Management and Innovation develops your ability to conduct empathy-driven and data-driven analysis in the domain of risk management. This course introduces empathy as a professional competency. It explains the psychological processes that inhibit empathy-building and the processes that determine how organizational stakeholders respond to risk.

Sep 28th 2026
4 Weeks
Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point) (Coursera) Coursera
Universitat Autònoma de Barcelona

Competencias digitales. Herramientas de ofimática (Microsoft Word, Excel, Power Point) (Coursera)

Los continuos cambios tecnológicos, sobre todo en aquellos aspectos vinculados a las tecnologías de la información y la comunicación (TIC) hacen que las personas tengan la necesidad de actualizarse de forma continua para que sus conocimientos no queden obsoletos. En este contexto, para las empresas se convierte en algo imprescindible disponer de profesionales que tengan las competencias necesarias para ejercer con éxito las actividades que requieren en su lugar de trabajo.

Sep 28th 2026
5-12 Weeks
Visualización de Datos con Python (Coursera) Coursera
IBM

Visualización de Datos con Python (Coursera)

"Una imagen vale mas que mil palabras". Todos estamos familiarizados con esta expresión. Se aplica especialmente cuando se trata de explicar la información obtenida del análisis de conjuntos de datos cada vez más grandes. La visualización de datos juega un papel esencial en la representación de datos tanto a pequeña como a gran escala. Una de las habilidades clave de un científico de datos es la capacidad de contar una historia convincente, visualizando datos y hallazgos de una manera accesible y estimulante

Sep 28th 2026
3 Weeks