Business Analytics using Excel
Keep adding new skills with 10,000+ programs for $239 (usually $399). Save now.
Business Analytics using Excel
This course is part of multiple programs.
Instructor: Priyanka Mehta
6,120 already enrolled
Included with
Learn more
Ask Coursera
41 reviews
41 reviews
What you'll learn
Clean, organize, and prepare data using Excel for accurate analysis
Apply advanced Excel functions, Pivot Tables, and slicers for powerful data insights.
Design interactive dashboards with charts and form controls.
Use statistical techniques and Macros to automate and optimize business analytics.
Skills you'll gain
Tools you'll learn
Details to know
12 assignments
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
- 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 4 modules in this course
This Business Analytics with Excel course offers a hands-on journey into mastering data analysis, visualization, and automation using Excel. Start by building a foundation in analytics concepts and data preparation techniques like sorting, filtering, and validation. Advance to Excel functions including logical, lookup, and statistical formulas, and work with Pivot Tables and slicers for large dataset analysis. Create interactive dashboards and automate workflows using Macros. Deepen your skills with regression, hypothesis testing, and ANOVA.
To be successful in this course, you should have a basic understanding of Excel and comfort working with spreadsheets. By the end of this course, you will: - Use Excel to analyze data and build dynamic dashboards - Apply statistical analysis techniques for deeper insights - Automate repetitive tasks with Macros to boost productivity Ideal for professionals and beginners aiming to strengthen Excel-based business analytics skills.
This course offers a comprehensive journey through business analytics using Excel. Start with the basics of analytics, then learn to clean and prepare data for analysis. Master Excel functions, Pivot Tables, and interactive dashboards. Explore tools like Goal Seek, Solver, and descriptive statistics. Advance to statistical techniques including regression, ANOVA, and correlation, and automate tasks using Macros for efficient data analysis.
What's included
14 videos1 reading3 assignments
14 videosβ’Total 25 minutes
- Course Introductionβ’3 minutes
- What Will You Learn?β’2 minutes
- Introduction to Business Analyticsβ’2 minutes
- Learning Objectivesβ’1 minute
- Types of Analyticsβ’2 minutes
- Areas of Analyticsβ’4 minutes
- Quick Recapβ’1 minute
- Learning Objectivesβ’1 minute
- Sort and Filterβ’1 minute
- Group by and subtotalβ’2 minutes
- Text to Columnβ’1 minute
- Removing Duplicatesβ’2 minutes
- Data Validationβ’2 minutes
- Quick Recapβ’1 minute
1 readingβ’Total 10 minutes
- Course Syllabus β’10 minutes
3 assignmentsβ’Total 78 minutes
- Assessment for Foundations of Business Analytics β’38 minutes
- Assessment for Introduction to Business Analyticsβ’15 minutes
- Assessment for Data Cleaning and Preparationβ’25 minutes
Explore key Excel functions, advanced formatting, and Pivot Tables to analyze and visualize business data.
What's included
38 videos3 assignments
38 videosβ’Total 57 minutes
- Introductionβ’2 minutes
- Learning Objectivesβ’1 minute
- Introduction to Custom Formattingβ’1 minute
- Custom Formatting Exampleβ’2 minutes
- Introduction to Conditional Formattingβ’1 minute
- Conditional Formatting Example1β’2 minutes
- Conditional Formatting Example2β’2 minutes
- Conditional Formatting Example3β’1 minute
- Logical Functionsβ’4 minutes
- Lookup and Reference Functionsβ’1 minute
- Vlookup Functionβ’2 minutes
- Hlookup Functionβ’1 minute
- Match Functionβ’3 minutes
- Index and Offset Functionβ’3 minutes
- Statistical Functionsβ’0 minutes
- Sumifs Functionβ’2 minutes
- Countifs Functionβ’1 minute
- Percentile and Quartileβ’2 minutes
- Stdev, Median and Rank Functionβ’3 minutes
- Exercise Introβ’1 minute
- Exerciseβ’1 minute
- Quick Recapβ’1 minute
- Introductionβ’1 minute
- Learning Objectivesβ’1 minute
- Introdcution to Pivot Tablesβ’1 minute
- Creating a Pivot Tableβ’3 minutes
- Grouping in Pivot Tablesβ’0 minutes
- Grouping in Pivot Table Example 1β’2 minutes
- Grouping in Pivot Table Example 2β’2 minutes
- Custom Calculationβ’1 minute
- Calculated Field and Calculated Itemβ’0 minutes
- Calculated Field Exampleβ’1 minute
- Calculated Item Exampleβ’2 minutes
- Slicer Introductionβ’1 minute
- Creating a Slicerβ’1 minute
- Exercise Introductionβ’1 minute
- Exerciseβ’2 minutes
- Quick Recapβ’1 minute
3 assignmentsβ’Total 70 minutes
- Assessment for Excel Functions and Data Analysisβ’40 minutes
- Assessment for Formatting, Conditional Formatting, and Important Functionsβ’15 minutes
- Assessment for Analyzing Data with Pivot Tablesβ’15 minutes
Explore Excel-based dashboards and analytical tools to visualize data and uncover actionable insights.
What's included
33 videos3 assignments
33 videosβ’Total 66 minutes
- Introductionβ’1 minute
- Learning Objectivesβ’1 minute
- What is a Dashboard?β’1 minute
- Principles of a Great Dashboard Designβ’2 minutes
- How to Create Chart in Excel?β’3 minutes
- Chart Formattingβ’1 minute
- Thermometer Chartβ’4 minutes
- Pareto Chartβ’3 minutes
- Speedometer Chartβ’1 minute
- Create a speedometer chartβ’3 minutes
- Stacked Column Chartβ’1 minute
- Funnel Chartβ’1 minute
- Pivot Chartβ’2 minutes
- Form Controls in Excelβ’1 minute
- Interactive Dashboard With Form Controlβ’4 minutes
- Chart With Checkboxβ’5 minutes
- Chart with comboboxβ’1 minute
- Chart with Scroll Barβ’1 minute
- Interactive Chartβ’4 minutes
- Exercise Introductionβ’1 minute
- Exercise 1β’1 minute
- Exercise 2β’1 minute
- Quick Recapβ’1 minute
- Introductionβ’2 minutes
- Learning Objectivesβ’1 minute
- Histogramβ’5 minutes
- Solver Add-inβ’4 minutes
- Goal Seekβ’3 minutes
- Data Tableβ’2 minutes
- Descriptive Statisticsβ’2 minutes
- Exercise Introductionβ’1 minute
- Exerciseβ’1 minute
- Quick Recapβ’1 minute
3 assignmentsβ’Total 70 minutes
- Assessment for Data Visualization & Analytical Tools in Excelβ’40 minutes
- Assessment for Dashboardingβ’15 minutes
- Assessment for Business Analytics With Excelβ’15 minutes
Explore statistical methods and Excel automation to streamline analysis and uncover deeper data insights
What's included
25 videos3 assignments
25 videosβ’Total 48 minutes
- Introductionβ’2 minutes
- Learning Objectivesβ’1 minute
- Moving Averageβ’3 minutes
- Hypothesis Testingβ’4 minutes
- Anovaβ’3 minutes
- Covarianceβ’2 minutes
- Correlationβ’4 minutes
- Regressionβ’5 minutes
- Multiple Linear Regressionβ’4 minutes
- Logistic Regressionβ’3 minutes
- Normal Distributionβ’6 minutes
- Exercise 1 - Introductionβ’1 minute
- Exerciseβ’1 minute
- Exercise 2 - Introductionβ’0 minutes
- Exerciseβ’1 minute
- Exercise 3 - Introductionβ’0 minutes
- Exerciseβ’1 minute
- Quick Recapβ’1 minute
- Learning Objectivesβ’1 minute
- Using Macros for Analyticsβ’1 minute
- Mean of Data Using Macrosβ’1 minute
- 5-Point Summary Using Macrosβ’2 minutes
- Correlation Coefficient Using Macrosβ’1 minute
- Removing Duplicates Using Macrosβ’1 minute
- Quick Recapβ’1 minute
3 assignmentsβ’Total 70 minutes
- Assessment for Statistical Analysis & Automationβ’40 minutes
- Assessment for Data Analysis Using Statisticsβ’15 minutes
- Assessment for Using Macros for Analyticsβ’15 minutes
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Offered by
Explore more from Business Essentials
- Status: Free TrialJ
Johns Hopkins University
Course
- Status: Free Trial
Course
- Status: Free Trial
Course
- Status: Free TrialJ
Johns Hopkins University
Course
Why people choose Coursera for their career
Learner reviews
- 5 stars
68.29%
- 4 stars
17.07%
- 3 stars
2.43%
- 2 stars
2.43%
- 1 star
9.75%
Showing 3 of 41
Reviewed on Jan 4, 2026
This course is useful for starting a journey in data analytics.
Frequently asked questions
Excel is used for data cleaning, analysis, visualization, and reporting. It helps organize large datasets, apply formulas, build dashboards, and generate insights to support business decisions.
Yes, Excel is a foundational tool for business analysts. Itβs essential for tasks like data analysis, modeling, and visualization, especially in roles that donβt require advanced analytics platforms.
The top three skills are critical thinking, communication, and data analysis. These help BAs understand business needs, communicate requirements clearly, and support decisions with data-driven insights.
More questions
Financial aid available,
