Statistics I: Data & Probability

What you’ll learn

• Turn messy real-world data into clean, analysable tables
• Summarise distributions with the right statistics and visuals
• Use the normal model, sampling distributions and the CLT
• Build confidence intervals and hypothesis tests you can actually interpret
• Explain results in plain language for non-technical readers

Curriculum

Projects

• Analyse a small, real dataset (from your studies or a provided one) end-to-end
• Write a short report comparing analytic results and visual intuition
• Create a reusable formula sheet and workflow checklist for exams or work

Prerequisites

• Prior exposure to high-school algebra and functions
• Comfort working with fractions, percentages and simple equations
• Willingness to pause and re-watch explanations until they click

Who is this for?

• Students in a first statistics course who want a clearer second explanation
• STEM majors and analysts who need statistical thinking for projects or labs
• Self-taught learners preparing for data science and machine learning

Outcomes

• Able to decide which summary, graph or test is appropriate for a question
• More confident reading and critiquing statistical claims
• A reusable set of notes, examples and checklists you can bring into revision

Resources

FAQ