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Master Statistics for Business & Data Science 2026
3,178 students
Master Statistics for Business & Data Science 2026
Learn descriptive statistics, data cleaning, and probability for better business decisions.
Created byWoody Lewenstein, Starweaver Experts, Paul Siegel
Last updated 4/2026
English
What you'll learn
- Statistics Fundamentals – Understand core statistical concepts and learn how to use statistics for data analysis and data science applications.
- Data Analysis Techniques – Utilize data analysis tools to process and interpret data, extracting actionable insights that support data-driven decision making.
- Data Visualization – Learn to create powerful visual representations using Excel and data visualization tools to communicate data clearly.
- Interpretation of Visuals – Gain the ability to understand, analyze, and comment on data visualization examples to drive insights in business and analytics.
- Cleaning Data – Use statistical methods to clean and prepare data for effective analysis, ensuring your data is ready for accurate reporting.
- Sampling Methods – Learn various sampling techniques, and understand what statistics mean in different contexts to select the right sampling strategy.
- Probability Theory – Master fundamental concepts in probability statistics, including key techniques for analyzing random events and risk.
- Bayesian Statistics – Get an introduction to Bayesian statistics and Bayes' theorem, a powerful technique used in data science and data analytics.
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Course content
7 sections • 42 lectures • 5h 19m total length
Requirements
- No prior knowledge of statistics is required, just basic arithmetic and a keen interest in learning.
Description
This course is designed for those who want to apply statistics to make informed decisions in business and data science. It covers foundational concepts necessary to begin your journey in data analysis, business analytics, or any field where data is used to gain insights into the world around us. No prior experience is assumed, and all you need is basic arithmetic and a desire to learn.
I simplify statistics to make it accessible, especially if you're new to the field or haven’t applied it in a practical business or data science context. This is an ideal starting point for anyone looking to gain confidence in using statistical methods for problem-solving.
The course is practical, hands-on, and focused on showing you how to apply what you learn. Whenever possible, I'll demonstrate how to implement statistical techniques using Microsoft Excel.
Key Concepts Covered:
Descriptive Statistics – Learn essential concepts like averages, measures of spread and correlation, and more advanced metrics like skewness to analyze and interpret data.
Data Cleaning – Master techniques to handle messy data and transform it into meaningful insights.
Data Visualization – Understand the best ways to present your data visually, with step-by-step instructions on how to create effective visualizations using Excel.
Probability – Learn the core principles of probability, including conditional probability and an introduction to Bayesian statistics.
Throughout the course, I'll be available in the Q&A to answer any questions and provide guidance. I aim to support you every step of the way to ensure you get the most out of this learning experience.
I look forward to helping you discover how statistics can enhance your decision-making skills!
Who this course is for:
- Professionals seeking to leverage statistical methods to enhance decision-making, optimize processes, and drive data-driven insights in their roles.