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!