Level 1 · Entry Foundations

Goal: get comfortable with the day-to-day data science workflow — Python and pandas for wrangling, exploratory data analysis, visualization, the statistics you need to trust your own numbers, and the correlation/regression tools that turn a cleaned dataset into a finding — then ship a complete end-to-end analysis report.

Modules

1. What Is Data Science?
2. Python for Data Science
3. Data Cleaning & Wrangling
4. Exploratory Data Analysis (EDA)
5. Data Visualization Basics
6. Statistics Fundamentals
7. Correlation & Basic Regression
8. Working with Real-World Messy Datasets
9. Communicating Findings
10. Project — End-to-End Data Analysis Report

By the end of this level you'll be able to take a raw, messy dataset, clean and explore it, run the right statistical test for the question you're asking, visualize the result honestly, and write it up as a report a non-technical stakeholder can act on.