Data Science & Analytics
Turn messy data into decisions
The full analyst workflow — cleaning, exploring, visualizing, and querying data — the skills behind every AI system.
Beginner3 modules · 12 lessons~92 min845 XPAligned with Kaggle Learn · Mode SQL tutorialsStart with: Python for Data ScienceStart with: Probability & Statistics
Progress0/12
Module
Exploratory Data Analysis
Look before you model
What EDA Actually Is7 min · 60 XPWhat EDA Actually Is
Distributions & Outliers8 min · 70 XPDistributions & Outliers
Correlation and Its Traps8 min · 75 XPCorrelation and Its Traps
Asking the Right Questions7 min · 65 XPAsking the Right Questions
Module
Data Cleaning
Where trustworthy data is built
Missing Data: Drop, Impute, or Flag8 min · 70 XPMissing Data: Drop, Impute, or Flag
Duplicates & Leakage8 min · 75 XPDuplicates & Leakage
Data Types & Parsing7 min · 65 XPData Types & Parsing
The 80% That's Janitorial7 min · 65 XPThe 80% That's Janitorial
Module
Visualization & SQL
From query to persuasion
Choosing the Right Chart8 min · 75 XPChoosing the Right Chart
Dashboards That Communicate7 min · 70 XPDashboards That Communicate
SQL Essentials for Analysts9 min · 80 XPSQL Essentials for Analysts
Telling Stories with Data8 min · 75 XPTelling Stories with Data
Capstone project
The full pipeline
Take a messy dataset end-to-end: cleaning, EDA, a simple model, and a clear conclusion. The story matters as much as the stats.
Deliverable: A complete notebook (or short report) that a non-technical reader could follow to the end.
Milestones
Finish every lesson to earn the Data Science & Analytics Certificate.