The prospectusCourses
Learn the language. Master the craft. Prove the case.
Three courses, deliberately few. Each stands alone; together they form a route from your first line of Python to simulation studies a board will act on. Join wherever your skills already place you.
01 The route
Three stops, taken in order.
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First, the language
10-Day Python Bootcamp
Ten days of short, deliberate lessons in the Python that technical work actually uses: pandas for data, NumPy for numbers, Matplotlib and Seaborn for charts that persuade. No web frameworks and no filler. If you can already write a function without searching for the syntax, skip ahead with a clear conscience.
Two minutes of overview; judge the teaching yourself.
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Then, the craft Flagship
The Simulation Bootcamp
The flagship. Fourteen modules, sixty lessons and six real projects teach the whole craft: scoping a study, building the model in SimPy, validating it and presenting results that survive the boardroom. You finish able to take a simulation from the first awkward meeting to the final defensible number.
Two minutes of overview; judge the teaching yourself.
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Finally, the evidence
Data Science Mastery
A model is only as persuasive as its analysis. In twenty-five hours Dr Ron Erez teaches the analytical toolkit that turns raw output into evidence: data wrangling, statistics, visualisation and a first serious look at machine learning with PyTorch.
Two minutes of overview; judge the teaching yourself.
02 The guidance
Which course, honestly?
A prospectus should not pretend every course suits every reader. Find your situation below.
- New to Python
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Start with the 10-Day Python Bootcamp. The fundamentals come first and they come quickly; ten days is the point, not the small print.
View the Python Bootcamp - Fluent in Python, new to SimPy
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Go straight to the Simulation Bootcamp; everything else here orbits it. If you only ever take one course from this school, take this one.
View the Simulation Bootcamp - Strong models, weaker analysis
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Take Data Science Mastery and make the evidence as strong as the model: statistics, visualisation and machine learning fundamentals.
View Data Science Mastery
Still unsure? Write to me with a line about your background and I will point you at the right door; sometimes the honest answer is the cheaper course.