Get Started with Spreadsheet Applications: Excel (Coursera)

Offered by SkillUp EdTech,
Get Started with Spreadsheet Applications: Excel (Coursera)

Spreadsheet applications are an essential part of productivity at work and school. Understanding how to use spreadsheet apps such as Microsoft Excel can make you a more efficient and valuable worker. In this mini-course, you will learn the essentials of working with spreadsheet apps. You will learn how to open, save, share, and print spreadsheet files, move around a worksheet, and enter and edit data.

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

This course will teach you how to use formulas, functions, charts, and data, and it will also explain how to work collaboratively with online spreadsheets.
Throughout this short course, you will complete numerous hands-on labs to gain practical experience. Once complete, you will take a graded assessment to demonstrate your knowledge.
Demonstrations in this course use Microsoft Excel for the web. The skills learned from Excel for the web can be applied to other spreadsheet applications, such as the desktop version of Excel, Google Sheets, and others.
This course is designed for beginners who want to get started with the basics of spreadsheet applications such as Microsoft Excel. It is appropriate for those looking to improve their skills with office productivity software to work more productively. Completion of this course will prepare you to work with spreadsheet applications in an office setting.
This mini-course is one of a series of courses aimed at helping learners become more proficient in using office productivity applications.
This course is part of the SkillUp EdTech Office Productivity Software Specialization.

What you'll learn

  • Use fundamental features of spreadsheet apps, such as creating, editing, and saving spreadsheet files
  • How to navigate around workbooks and worksheets, and enter and edit data
  • Understand the components of a formula and use formulas, functions, and charts with data
  • Work collaboratively with others on online spreadsheets using Microsoft Excel

Syllabus

Spreadsheet Application Basics
Module 1
Spreadsheet applications are an essential part of productivity at work and school. Understanding how to use spreadsheet apps can make you more a more efficient and valuable worker. In this module, you will learn the essentials of working with spreadsheet apps. You will learn how to open, save, share, and print spreadsheet files, move around a worksheet and enter and edit data. You will also learn the fundamentals of using formulas and functions in spreadsheet applications.

Working with Spreadsheet Applications
Module 2
In this module, you will learn how to use charts, and data, and you will learn how to work collaboratively with online spreadsheets.

Course Summary & Assessment
Module 3
In this module, you will get a summary of the course and information on the next steps to take, and you will be tested on your knowledge of the topics covered in this course through a graded multiple-choice quiz.

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

Related Courses

Introduction to Data Analysis Using Excel (Coursera) Coursera
Rice University

Introduction to Data Analysis Using Excel (Coursera)

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 course 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. 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.

Oct 12th 2026
4 Weeks
Herramientas ofimáticas básicas para el trabajo (Coursera) Coursera
UBITS

Herramientas ofimáticas básicas para el trabajo (Coursera)

En la actualidad, saber manejar herramientas ofimáticas básicas tales como procesadores de texto, procesadores de datos, correo electrónico y aplicaciones de videollamada es un requisito indispensable para tener éxito en el mundo laboral. Este tipo de herramientas permiten simplificar, agilizar y perfeccionar la comunicación y el manejo de la información en cualquier campo.

Oct 12th 2026
13-24 Weeks
Business Statistics and Analysis Capstone (Coursera) Coursera
Rice University

Business Statistics and Analysis Capstone (Coursera)

The Business Statistics and Analysis Capstone is an opportunity to apply various skills developed across the four courses in the specialization to a real life data. The Capstone, in collaboration with an industry partner uses publicly available ‘Housing Data’ to pose various questions typically a client would pose to a data analyst. Your job is to do the relevant statistical analysis and report your findings in response to the questions in a way that anyone can understand.

Oct 12th 2026
4 Weeks
Statistics and Data Analysis with Excel, Part 2 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 2 (Coursera)

This course is meant to be a direct continuation of "Statistics and Data Analysis with Excel, Part 1." Therefore, it is not recommended to take Part 2 unless you've also taken Part 1. Building on the topics learned in Part 1 of the course (probability, probability mass and density functions, the normal and standard normal distributions), this course dives into a more applied side of statistics.

Oct 19th 2026
5-12 Weeks
Fundamentals of Data Analysis in Excel (Coursera) Coursera
Corporate Finance Institute

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.

Oct 19th 2026
5-12 Weeks
Productivity and Systems Development (Coursera) Coursera
University of California, Irvine

Productivity and Systems Development (Coursera)

This course provides hands-on experience with technology-based productivity tools, as well as foundational knowledge and understanding of system design and development. The course is designed to integrate concepts of hardware, software, and the Internet. This course also provides an overview of data security, data privacy, and ways to increase productivity and efficiency. Students will also investigate technology career paths and some of the various certifications available in the industry.

Oct 12th 2026
3 Weeks
Statistics and Data Analysis with Excel, Part 1 (Coursera) Coursera
University of Colorado Boulder

Statistics and Data Analysis with Excel, Part 1 (Coursera)

Designed for students with no prior statistics knowledge, this course will provide a foundation for further study in data science, data analytics, or machine learning. Topics include descriptive statistics, probability, and discrete and continuous probability distributions. Assignments are conducted in Microsoft Excel (Windows or Mac versions). Designed to be taken with the follow-up course, “Statistics and Data Analysis with Excel, Part 2.”

Oct 26th 2026
5-12 Weeks
IBM Data Analyst Capstone Project (Coursera) Coursera
IBM

IBM Data Analyst Capstone Project (Coursera)

In this course you will apply various Data Analytics skills and techniques that you have learned as part of the previous courses in the IBM Data Analyst Professional Certificate. You will assume the role of an Associate Data Analyst who has recently joined the organization and be presented with a business challenge that requires data analysis to be performed on real-world datasets. You will undertake the tasks of collecting data from multiple sources, performing exploratory data analysis, data wrangling and preparation, statistical analysis and mining the data, creating charts and plots to visualize data, and building an interactive dashboard.

Oct 12th 2026
5-12 Weeks
Excel Power Tools for Data Analysis (Coursera) Coursera
Macquarie University

Excel Power Tools for Data Analysis (Coursera)

Welcome to Excel Power Tools for Data Analysis. In this four-week course, we introduce Power Query, Power Pivot and Power BI, three power tools for transforming, analysing and presenting data. Excel's ease and flexibility have long made it a tool of choice for doing data analysis, but it does have some inherent limitations: for one, truly "big" data simply does not fit in a spreadsheet and for another, the process of importing and cleaning data can be a repetitive, time-consuming and error-prone.

Oct 12th 2026
4 Weeks
Data Analysis with Spreadsheets and SQL (Coursera) Coursera
Meta

Data Analysis with Spreadsheets and SQL (Coursera)

This course introduces you to how to use spreadsheets and SQL queries to analyze and extract data. You will learn how to practically apply the OSEMN data analysis framework and spreadsheet functions to clean data, calculate summary statistics, evaluate correlations, and more. You’ll also dive into common data visualization techniques and learn how to use dashboards to tell a story with your data.

Oct 12th 2026
5-12 Weeks
Business Analytics with Excel: Elementary to Advanced (Coursera) Coursera
Johns Hopkins University

Business Analytics with Excel: Elementary to Advanced (Coursera)

A leader in a data driven world requires the knowledge of both data-related (statistical) methods and of appropriate models to use that data. This Business Analytics class focuses on the latter: it introduces students to analytical frameworks used for decision making though Excel modeling. These include Linear and Integer Optimization, Decision Analysis, and Risk modeling. For each methodology students are first exposed to the basic mechanics, and then apply the methodology to real-world business problems using Excel.

Oct 19th 2026
5-12 Weeks