Data Analysis with Python — Expert Practitioner Track
A practitioner-level course covering everything a world-class data analyst does: project scoping, data quality, cleaning, wrangling, EDA, feature engineering, statistical analysis, advanced visualisation, insight generation, and professional reporting.
Course Lessons
The Expert Analyst Mindset — Framing Problems Before Touching Data
Data Ingestion, Profiling & First Contact
Data Quality Assessment — Auditing Before You Clean
Advanced Data Cleaning & Wrangling
Transformation, Reshaping & Complex Aggregations
Exploratory Data Analysis — Univariate & Bivariate
Multivariate EDA, Correlation & Hypothesis Generation
Feature Engineering — Creating Signals from Raw Data
Statistical Analysis, Hypothesis Testing & A/B Testing
Advanced Visualisation & Dashboard Thinking
From Data to Insights — Analytical Storytelling
Professional Reports, Notebooks & Stakeholder Presentations