Valuemax Tech Academy
VALUEMAX® Tech Academy
🔬 2026 Edition

Python Exploratory Data AnalysisComplete Edition

16
Days
4
Phases
Python
EDA
Viz
Story

What this course is

Exploratory data analysis in Python—cleaning, profiling, visualization, and communicating findings before modelling.

What you will use it for

Understanding datasets before ML, audit and research reports, and stakeholder briefings with evidence.

Careers after completion

Data analyst, research analyst, junior data scientist, insights consultant, M&E specialist.

Why we learn it this way

EDA is its own discipline—rushing to models without exploration is why we dedicate a full phased outline to it.

Course Outline

Phase 0 — Dual Foundation (Days 1–2)
Day 1⚡ Framework, Variable Types & Reproducibility
Day 2⚡ Pandas Deep, Profiling & Survey Data
Phase 1 — Data Preparation (Days 3–4)
Day 3⚡ Missing Data — Mechanism, Imputation & APA Reporting
Day 4⚡ Outliers, Text Cleaning, Coding Errors & Advanced Pandas
Phase 2 — Statistical EDA (Days 5–10)
Day 5⚡ Univariate Analysis & Normality Testing
Day 6⚡ Bivariate — All Correlation Types & Grouped Statistics
Day 7💼 Time-Series — Trends, Rolling, Seasonality, Decomposition
Day 8⚡ Inferential Statistics — Tests, Effect Sizes & Power
Day 9🔬 Multiple Comparisons, Non-Parametric & Robustness
Day 10⚡ Multivariate, Subgroup & Interaction Analysis
Phase 3 — Visualisation & Communication (Days 11–13)
Day 11⚡ Visualisation — Chart Grammar, Seaborn, Plotly & Publication
Day 12⚡ Storytelling — Executive Summary & Academic Writing
Day 13💼 Advanced Pandas — Merge, Join, Window & Multi-Source Data
Phase 4 — Case Studies & Capstone (Days 14–16)
Day 14💼 Business Case Study — E-commerce Revenue Analysis
Day 15🔬 Research Case Study — Survey & Experimental Analysis
Day 16⚡ Capstone + Dual Portfolio Assembly