Business Statistics and Analysis Specialization

Upcoming Start Date

Enrollment is always open, begin anytime. 

Length

Approximately 3 months

Effort

Approximately 5 hours/week

Tuition

Audit for free, or pay $49 per course, or pay $59/month subscription to access more practice and earn a certificate.

Learn more about Coursera subscription options.

Overview

The Business Statistics and Analysis Specialization is designed to equip you with a basic understanding of business data analysis tools and techniques. Informed by our world-class Data Science master's and PhD course material, you’ll master essential spreadsheet functions, build descriptive business data measures, and develop your aptitude for data modeling. You’ll also explore basic probability concepts, including measuring and modeling uncertainty, and you’ll use various data distributions, along with the Linear Regression Model, to analyze and inform business decisions. The Specialization culminates with a Capstone Project in which you’ll apply the skills and knowledge you’ve gained to an actual business problem.

To successfully complete all course assignments, students must have access to a Windows version of Microsoft Excel 2010 or later. 

Who Should Attend

• Individuals in business, operations, finance, marketing, or general management roles who need foundational data skills.
• Professionals transitioning into business analytics, data science, or other quantitative fields who need introductory-level statistics and analysis skills.
• Professionals who use Excel regularly and want to learn advanced functions, modeling, and data techniques.

Program Takeaways

• Master essential spreadsheet and excel skills to organize and analyze business data.
• Apply core statistical concepts used in business decisions.
• Use linear regression to identify relationships in data and predict outcomes.
• Gain portfolio-ready examples of analytical work to solve real-world business problems.

Course Curriculum

Introduction to Data Analysis Using Excel 

• Introduction to Spreadsheets
• Spreadsheet Functions to Organize Data
• Introduction to Filtering, Pivot Tables, and Charts
• Advanced Graphing and Charting

Basic Data Descriptors, Statistical Distributions, and Application to Business Decisions

• Basic Data Descriptors
• Descriptive Measures of Association, Probability, and Statistical Distributions
• The Normal Distribution
• Working with Distributions, Normal, Binomial, Poisson

Business Applications of Hypothesis Testing and Confidence Interval Estimation

• Confidence Interval - Introduction
• Confidence Interval - Applications
• Hypothesis Testing
• Hypothesis Test - Differences in Mean

Linear Regression for Business Statistics

• Regression Analysis: An Introduction
• Regression Analysis: Hypothesis Testing and Goodness of Fit
• Regression Analysis: Dummy Variables, Multicollinearity
• Regression Analysis: Various Extensions

Business Statistics and Analysis Capstone

• Apply various skills developed across the four courses in the specialization to a real life data.

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