Data for Business Analysts Using Microsoft Excel

This course is part of multiple programs.

Instructor: Microsoft

Access provided by NIH/NIMH

39,109 already enrolled

5 modules

Gain insight into a topic and learn the fundamentals.

332 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

5 modules

Gain insight into a topic and learn the fundamentals.

332 reviews

Beginner level

Recommended experience

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

94%

Most learners liked this course

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.

Skills you'll gain

Tools you'll learn

Microsoft Excel

Details to know

Shareable certificate

Add to your LinkedIn profile

Assessments

28 assignments

Taught in English

See how employees at top companies are mastering in-demand skills

Learn more about Coursera for Business

logos of Petrobras, TATA, Danone, Capgemini, P&G and L'Oreal

Build your subject-matter expertise

This course is available as part of

When you enroll in this course, you'll also be asked to select a specific program.

Learn new concepts from industry experts
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

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.  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 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.

What's included

7 videos17 readings6 assignments2 discussion prompts

7 videos Total 39 minutes

Course Introduction 4 minutes
Business Analysts and Microsoft Excel 5 minutes
Introduction to Microsoft Excel 7 minutes
Entering and formatting data 6 minutes
Reading large data blocks 7 minutes
Sorting and filtering data in Excel 7 minutes
Module summary: Excel fundamentals 4 minutes

17 readings Total 215 minutes

Course Syllabus: Data for Business Analysts Using Microsoft Excel 10 minutes
How to be successful in this course 10 minutes
Personalize your learning track 10 minutes
How to open an image in a new tab 10 minutes
How to locate your downloaded files 10 minutes
Additional resources: Accessing Microsoft Excel 5 minutes
Regional variations in Excel 10 minutes
Working with rows and columns 10 minutes
Working with worksheets 10 minutes
Exercise: Adding data to a worksheet 30 minutes
Exemplar: Adding data to a worksheet 10 minutes
Additional resources: Creating workbook content 5 minutes
Exercise: Sorting data 30 minutes
Exemplar: Sorting data 10 minutes
Exercise: Filtering data 30 minutes
Exemplar: Filtering data 10 minutes
Additional resources: Working with blocks of data in Excel 5 minutes

6 assignments Total 95 minutes

Self-Review: Adding data to a worksheet 15 minutes
Knowledge Check: Creating Workbook Content 15 minutes
Self-Review: Sorting Data 10 minutes
Self-Review: Filtering Data 10 minutes
Knowledge Check: Working with blocks of data in Excel 15 minutes
Module Quiz: Excel Fundamentals 30 minutes

2 discussion prompts Total 20 minutes

Discussion prompt: Meet and Greet 10 minutes
What features were new to you and which were most useful 10 minutes

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.

What's included

6 videos9 readings5 assignments1 discussion prompt

6 videos Total 38 minutes

What is a formula? 6 minutes
Controlling calculations 6 minutes
Controlling calculations in action 6 minutes
What is a function formula and how to write it 7 minutes
Using the INSERT function 6 minutes
Module summary: Formulas and functions 7 minutes

9 readings Total 120 minutes

Order of precedence in calculations 10 minutes
Useful percentage calculations 10 minutes
Exercise: Calculating profit and margin 30 minutes
Exemplar: Calculating profit and margin 10 minutes
Additional resources: Formulas in Excel 5 minutes
The AutoSum shortcut 10 minutes
Exercise: Preparing a monthly sales report 30 minutes
Exemplar: Preparing a monthly sales report 10 minutes
Additional resources: Getting started with functions 5 minutes

5 assignments Total 80 minutes

Self-Review: Calculating profit and margin 10 minutes
Knowledge Check: Formulas in Excel 15 minutes
Self-Review: Preparing a monthly sales report 10 minutes
Knowledge Check: Getting started with functions 15 minutes
Module Quiz: Formulas and Functions 30 minutes

1 discussion prompt Total 10 minutes

What features were new to you and which were most useful? 10 minutes

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

What's included

6 videos13 readings7 assignments1 discussion prompt

6 videos Total 40 minutes

How inconsistent data can affect data analysis 6 minutes
Why understanding date calculations is important 6 minutes
Dynamic date and time entries 6 minutes
Using the IF function 8 minutes
Using nested IF and IFS function 8 minutes
Module summary: preparing data for analysis using functions 7 minutes

13 readings Total 175 minutes

Functions which can be used to standardize text data 10 minutes
Exercise: Standardizing text-based data 30 minutes
Exemplar: Standardising text-based data 10 minutes
Additional resources: Using functions to clean or standardize text 5 minutes
Other useful date calculations 10 minutes
Exercise: Calculating the number of working days remaining in the year 30 minutes
Exemplar: Calculating the number of working days remaining in the year 10 minutes
Additional resources: Date and time functions 5 minutes
AND and OR functions 10 minutes
IF functions 10 minutes
Exercise: Adding a data column using the IFS function 30 minutes
Exemplar: Adding a data column using the IFS function 10 minutes
Additional resources: Logical functions 5 minutes

7 assignments Total 105 minutes

Self-Review: Standardising text-based data 10 minutes
Knowledge Check: Using functions to clean or standardise text 15 minutes
Self-Review: Calculating the number of working days remaining in the year 10 minutes
Knowledge Check: Date and Time Functions 15 minutes
Self-Review: Adding a data column using the IFS function 10 minutes
Knowledge Check: Logical Functions 15 minutes
Module Quiz: Formulas and Functions 30 minutes

1 discussion prompt Total 10 minutes

What features were new to you and which were most useful 10 minutes

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.