Introduction to Statistics for Data Science

Descriptive statistics | Probability | Excel skills | Data cleaning | Data visualization | Analytics

Created by: Woody Lewenstein
Mathematics Teacher

Created by: Starweaver Instructor Team
Learning | Doing | Connecting®

Created by: Paul Siegel
Top rated instructor and course creator

What Will I Learn?

• Statistics - Use statistical methods to analyse data
• Data Analysis - Learn the most important tools for making sense of data.
• Data Visualization - Learn how to use Excel to create effective visuals.
• Interpretation - Learn to understand and comment on data visualizations.
• Cleaning Data - Use statistics to get your data ready for analysis
• Sampling - Learn different methods, and when they work.
• Probability - Learn all the most important techniques in basic probability theory.
• Bayesian Statistics - an introduction to Bayes' theorem

Requirements

• Nothing beyond basic arithmetic and a desire to learn.

Target audience

• People who want to use statistics to make better decisions.