Curriculum

Statistics with Excel, zero to expert

30 courses · every lesson has a lab you actually work through · certificate per course

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🧱
Data Foundations
Get your data into the shape every statistical method silently assumes.
8 lessons · 80 min · Beginner
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📊
Descriptive Statistics
Summarise a column so that the number you report is the number you mean.
8 lessons · 83 min · Beginner
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🎲
Probability and Distributions
Turn a column of outcomes into probabilities, and know which curve you are entitled to use.
8 lessons · 85 min · Beginner
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🎯
Sampling and the Central Limit Theorem
Why forty measurements can speak for forty thousand — and the conditions under which they cannot.
8 lessons · 74 min · Beginner
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📏
Confidence Intervals
What an interval estimate actually claims, what it never claims, and how to build one in Excel.
8 lessons · 72 min · Intermediate
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⚖️
Hypothesis Testing
What a p-value measures, what it cannot measure, and how to run a test you can defend.
8 lessons · 74 min · Intermediate
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⚖️
t-Tests
Decide whether a difference in means is bigger than the noise — and know which of the three tests you are entitled to use.
8 lessons · 92 min · Intermediate
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🧮
ANOVA
Compare three or more groups in one test, and find out where the difference lives without inventing significance.
8 lessons · 94 min · Intermediate
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🔲
Chi-Square Tests
Test counts instead of means: does this distribution match what you expected, and are these two categories related?
8 lessons · 93 min · Intermediate
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🪜
Nonparametric Tests
Test differences with ranks when the mean is the wrong summary — and build every statistic by hand, because Excel has none of them.
8 lessons · 85 min · Intermediate
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🔗
Correlation
Measure how two columns move together, test whether it is real, and learn everything r refuses to tell you.
8 lessons · 85 min · Intermediate
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📈
Simple Regression
Fit one line to two columns, say precisely what its slope means, and know how far to trust the number it predicts.
8 lessons · 85 min · Intermediate
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📐
Multiple Regression
Estimate the effect of one variable while the others are held still — and know exactly what that sentence buys you.
8 lessons · 99 min · Advanced
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🩺
Regression Diagnostics
Interrogate a fitted model until it either earns your trust or admits what it is hiding.
8 lessons · 101 min · Advanced
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⚖️
Model Selection
Choose between models without fooling yourself — and know what you spent every time you looked at the data.
8 lessons · 102 min · Advanced
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🎯
Logistic Regression
Model a yes/no outcome properly: odds, log-odds, maximum likelihood and Solver.
8 lessons · 87 min · Advanced
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📈
Time Series Basics
Trend, season and noise — and why the order of the rows changes every rule you know.
8 lessons · 85 min · Intermediate
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🔮
Forecasting
Holt-Winters, Excel's ETS tools, error measures — and the naive forecast you have to beat.
8 lessons · 85 min · Intermediate
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🧹
Data Preparation for Mining
Everything you do to a table before a model touches it — and what each of those choices costs.
8 lessons · 87 min · Intermediate
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🧭
Principal Component Analysis
Find the few directions your many correlated columns are really moving in — and know when that idea breaks.
8 lessons · 89 min · Advanced
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🎯
k-Means Clustering
Split rows into groups nobody labelled — and control every decision that silently determines which groups you get.
8 lessons · 88 min · Advanced
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🌲
Hierarchical Clustering
Build the whole family tree of your data, then decide for yourself where to cut it.
8 lessons · 92 min · Advanced
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🎯
k-Nearest Neighbours and Naive Bayes
Two classifiers with no model to fit: one remembers every case, the other counts.
8 lessons · 90 min · Advanced
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🌳
Decision Trees
A model you can read aloud — and the one that changes its mind if you change three rows.
8 lessons · 91 min · Advanced
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🛒
Association Rules
Find the items that really travel together, and reject the pairs that only look like they do.
8 lessons · 84 min · Advanced
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🎯
Model Evaluation
Decide whether a classifier is any good — and be precise about what you are comparing it to.
8 lessons · 90 min · Advanced
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🎲
Simulation and the Bootstrap
Answer the questions that have no formula by generating the data instead.
8 lessons · 87 min · Advanced
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🧪
Experimental Design
Plan the test before it runs: randomisation, sample size, blocking, and the traps that turn noise into a decision.
8 lessons · 91 min · Advanced
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⏳
Survival Analysis
Time-to-event data done properly: censoring, Kaplan-Meier by hand, the log-rank test and hazard ratios.
8 lessons · 94 min · Advanced
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🏁
Capstone Project
One project from end to end: frame the question, prepare the data, choose the method, validate it, and report it honestly.
8 lessons · 95 min · Advanced
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