Data for Business Analysts Using Microsoft Excel (Coursera)

Offered by Microsoft,
Data for Business Analysts Using Microsoft Excel (Coursera)

In this course, you’ll learn how to make use of Excel in business scenarios for data analysis. You’ll also learn how to utilize formulas and functions for data analysis.  Specifically, this course will help you gain knowledge and skills for preparing data for analysis using Microsoft Excel and take you one step closer to becoming a Business Analyst. 

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

After completing this course, you’ll be able to: 
• Identify and explain the steps involved in preparing data for analysis using Excel functions.
• Use formula and functions for Data Analysis
• Describe how Excel is used in business scenarios for Data Analysis
• Apply Excel skills to real-world data preparation tasks.
This course is part of the Microsoft Business Analyst Professional Certificate.

What you'll learn

  • Gain insight into the steps involved in preparing data for analysis using Excel functions.
  • Learn to use formulas and functions in Excel for data analysis purposes.
  • Understand how Excel is applied in business scenarios for data analysis and apply these skills to real-world tasks.

Syllabus

Excel Fundamentals
This module introduces essential Excel elements and techniques begininning with the creation and formatting of worksheets. It explores the Excel features that are useful when viewing large data blocks and explains how to create accurate calculations.

Formula and functions
This module introduces formulas and functions in Excel. It explores how these are important to data analysis and how these are used in business scenarios.

Preparing data for analysis using functions
The module introduces common functions that help prepare Excel data for analysis in tools such as PowerBI.

Working with Pivots
In this module, you will learn essential skills in Microsoft Excel to enhance data manipulation and reporting capabilities. You’ll discover how to create dynamic data blocks using tables, allowing for flexible data organization and analysis. Additionally, you’ll learn how to create PivotTables, a powerful feature for summarizing and analyzing large datasets efficiently. Furthermore, you'll explore how to leverage PivotTables and slicers to create dynamic reports, providing insights and visualizations that adapt to changing data inputs. These techniques will empower you to efficiently manage and analyze data, enhancing your productivity and decision-making abilities in Excel.

Final project and assessment: Preparing data for analysis with MS Excel
In this module, you will be assessed on the key skills covered in the Course.

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

Related Courses

Research Design: Inquiry and Discovery (Coursera) Coursera
University of North Texas

Research Design: Inquiry and Discovery (Coursera)

The main purpose of this course is to focus on good questions and how to answer them. This is essential to making considered decisions as a leader in any organization or in your life overall. Topics will include the basis of human curiosity, development of questions, connections between questions and approaches to information gathering design, variable measurement, sampling, the differences between experimental and non-experimental designs, data analysis, reporting and the ethics of inquiry projects.

Nov 9th 2026
4 Weeks
Analytics in Healthcare Management and Administration (Coursera) Coursera
Northeastern University

Analytics in Healthcare Management and Administration (Coursera)

This course is the continuation of Healthcare Analytics Essentials . If you have not yet taken the Healthcare Analytics Essentials course, it is recommended that you complete that course prior to this course. The foundational knowledge to support the project are carried through in this deeper dive into using healthcare analytics in management and administration.

Nov 9th 2026
4 Weeks
Reproducible Templates for Analysis and Dissemination (Coursera) Coursera
Emory University

Reproducible Templates for Analysis and Dissemination (Coursera)

This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications.

Nov 9th 2026
5-12 Weeks
Data-Driven Decisions with Power BI (Coursera) Coursera
Knowledge Accelerators

Data-Driven Decisions with Power BI (Coursera)

New Power BI users will begin the course by gaining a conceptual understanding of the Power BI desktop application and the Power BI service. Learners will explore the Power BI interface while learning how to manage pages and understand the basics of visualizations. Learners will engage in numerous hands-on experiences to discover how to import, connect, clean, transform, and model their own data in the Power BI desktop application.

Nov 9th 2026
5-12 Weeks
Mathematical Biostatistics Boot Camp 1 (Coursera) Coursera
Johns Hopkins University

Mathematical Biostatistics Boot Camp 1 (Coursera)

This class presents the fundamental probability and statistical concepts used in elementary data analysis. It will be taught at an introductory level for students with junior or senior college-level mathematical training including a working knowledge of calculus. A small amount of linear algebra and programming are useful for the class, but not required.

Nov 9th 2026
4 Weeks
Mastering Excel Essentials to Enhance Business Value (Coursera) Coursera
Illinois Tech

Mastering Excel Essentials to Enhance Business Value (Coursera)

This course is designed to cater to a diverse audience, particularly those with an interest in working in dynamic environments that place a strong emphasis on data-driven, quantitative analysis. Whether you are an experienced professional seeking to enhance your skills or someone looking to pivot into a cutting-edge industry, this course provides valuable insights and knowledge to thrive in today's data-centric and rapidly evolving landscape.

Nov 9th 2026
4 Weeks
Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera) Coursera
Delft University of Technology,Erasmus University Rotterdam

Excel Modeling for Professionals: Best Practices & Pitfalls (Coursera)

Through this course learners will gain the tools to decide whether or not Excel is the right software to use. They will learn how to set up good input data, format correctly, and the importance of good documentation. Learners will gain the ability to discern between different functions, to understand the pitfalls and strengths of commonly used functions, and to apply correct functions to their excel models. Those that follow the course will also gain understanding of logical spreadsheet structure, graphs and reporting, and protection and hidden information in Excel, and users will learn how to apply these things to their own models.

Nov 9th 2026
4 Weeks
Advanced Reproducibility in Cancer Informatics (Coursera) Coursera
Johns Hopkins University

Advanced Reproducibility in Cancer Informatics (Coursera)

This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get acquainted with these tools but is by no means meant to be a comprehensive dive into these tools. The course introduces tools and their concepts such as git and GitHub, code review, Docker, and GitHub actions.

Nov 9th 2026
5-12 Weeks
Infonomics I: Business Information Economics and Data Monetization (Coursera) Coursera
University of Illinois at Urbana-Champaign

Infonomics I: Business Information Economics and Data Monetization (Coursera)

Thriving in the Information Age compels organizations to deploy information as an actual business asset, not as an IT asset or merely as a business byproduct. This demands creativity in conceiving and implementing new ways to generate economic benefits from the wide array of information assets available to an organization. Unfortunately, information too frequently is underappreciated and therefore underutilized.

Nov 9th 2026
4 Weeks