Statistics Foundations: From Basics to Real-World Applications

1. What You’ll Learn

• Core Statistics: Master distributions (Normal, Binomial), hypothesis testing, and p-values.
• Data Storytelling: Visualize data (histograms, boxplots) and analyze real datasets.
• Practical Modeling: Build regression models, understand correlations, and evaluate results.
• Avoid Pitfalls: Learn to spot p-hacking and false discoveries in research.
• Hands-On Practice: Apply concepts with coding exercises (R/Python) and StatTest! challenges.

2. Who This Course Is For

✔ Aspiring Data Scientists – Build statistical foundations for ML/AI careers.
✔ Researchers & Analysts – Master hypothesis testing and data storytelling.
✔ Students – Intuitive explanations for exam prep (no advanced math needed.
✔ Career Changers – No prior stats knowledge required; starts from scratch.
✔ Professionals – Learn to critique misleading stats in news/work reports.

3. Course Format & Schedule

• Teaching Method: Live Zoom classes (interactive lectures + Q&A) with PowerPoint slides.
• Materials: Lifetime access to PPTs (PDF), Python/R templates, datasets, and cheat sheets.
• Assessments: Quizzes and practical projects (e.g., hypothesis testing on real data).
• Duration: 3 months (weekend batches: Sat-Sun).
• Flexibility: Self-paced project work between live sessions.
• Prerequisites: None – designed for absolute beginners.
• Outcome: Certificate upon completion (downloadable from student dashboard).