Learn to summarize, visualize, and interpret data — the essential first step in any analytics workflow.
Work through each chapter in order. Each one builds on the last.
Mean, median, mode, range, variance, and standard deviation through retail analytics.
🕑 ~25 min readHistograms, frequency tables, chart types, and distribution shapes for business data.
🕑 ~40 min readClassical and empirical probability, addition and multiplication rules, Bayes theorem, and counting methods.
🕑 ~50 min readBell curve properties, empirical rule, Z-scores, and finding probabilities with the standard normal.
🕑 ~45 min readSampling methods, standard error, sampling distributions, and the most important theorem in statistics.
🕑 ~40 min readBy the end of this course, you will be able to:
Calculate and interpret measures of central tendency (mean, median, mode) and choose the right one for different data types.
Measure variability using range, variance, and standard deviation to describe how spread out data is.
Build and read common visualizations — histograms, box plots, bar charts, and scatter plots — for business reporting.
Detect outliers, understand skewness, and explain how data shape affects summary statistics and decision-making.
Apply descriptive techniques to real business datasets — from retail sales to supply chain metrics — and communicate findings clearly.
What you need before starting this course.
STATS100 is designed for complete beginners. If you can add, subtract, multiply, and divide, you have everything you need. We build every concept from scratch with real-world business examples.
Practice what you learn with these interactive stats games.
Convert between Z-scores and percentiles. Build intuition for the standard normal distribution.
Play Now →Decide whether mean or median better represents each dataset and explain why.
Play Now →Race the clock to find Min, Q1, Median, Q3, and Max across business datasets.
Play Now →Build intuition for spread. Estimate variance by looking at data — tightly clustered or widely dispersed?
Play Now →Spot outliers using IQR rules and visual inspection. Click data points to flag them and score.
Play Now →