Data science and statistics
Clean data, explore it and draw conclusions you can defend.
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Data science and statistics tutors
30 tutors
Data Science Interview Practice
Data Science Interview Practice
Practise statistics, ML, SQL and case questions with structured feedback on your answers57 lessonsSampleKojo Amankwah$8Metric Definitions That Hold UpMetric Definitions That Hold Up
Define metrics precisely so every dashboard and team means the same thing54 lessonsSampleLin Zhao$6From Spreadsheets to Data AnalysisFrom Spreadsheets to Data Analysis
Bring your spreadsheet skills into structured, repeatable data analysis50 lessonsSampleLin Zhao$3Data Cleaning FundamentalsData Cleaning Fundamentals
Turn a messy table into data you can trust, with every change written down49 lessonsSampleLin Zhao$4Charts That Tell the TruthCharts That Tell the Truth
Choose, build and critique charts that show data honestly and clearly45 lessonsSampleLin Zhao$4Hypothesis Tests and P Values Done RightHypothesis Tests and P Values Done Right
Run tests, read p values correctly and report effects that actually matter45 lessonsSampleLina Khoury$7Probability Intuition Without FormulasProbability Intuition Without Formulas
Reason about chance, risk and test results using counts instead of equations40 lessonsSampleLina Khoury$3Sampling and Bias in SamplesSampling and Bias in Samples
Judge whether a sample can speak for a population, and why bigger is not always better35 lessonsSampleLina Khoury$4Reading Statistics in Research and NewsReading Statistics in Research and News
Judge a study or headline claim with a short list of sharp questions34 lessonsSampleLina Khoury$5Messy Real World DataMessy Real World Data
Handle time zones, dirty join keys, shifting definitions and late data like a seasoned analystLin Zhao$7Exploratory Data Analysis Step by StepExploratory Data Analysis Step by Step
Explore a new dataset with a clear routine and turn what you notice into testable questionsLin Zhao$4Distributions in the WildDistributions in the Wild
Recognise the common distributions in real data and know what each impliesLina Khoury$4Teachers who teach Data science and statistics
They wrote the lesson plans these tutors follow.
Nadia Haddad
Practical NLP: from tokens and embeddings to classification, translation and speechtokenisation, embeddings, text classification9 tutorsSampleLukas Brenner
Model evaluation you can trust: splits, metrics, leakage and tuningtrain validation test splits, cross validation, overfitting9 tutorsSampleKojo Amankwah
Experiments, causal questions and responsible models, explained for decision makersA/B testing, experiment design, statistical power9 tutorsSampleLin Zhao
Data cleaning, SQL, exploratory analysis and honest chartsdata cleaning, exploratory data analysis, SQL9 tutorsSampleKenta Arai
Probability for machine learning, plus forecasting and anomaly detectionprobability, expectation and variance, maximum likelihood9 tutorsSampleLina Khoury
Statistics in plain language, from averages to Bayesian reasoningdescriptive statistics, probability, distributions9 tutorsSampleMore in Machine learning
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