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Data Science & Analytics in Practice

Machine Learning Intermediate Data Science

The practitioner's course. Learn to turn messy data into confident decisions — from cleaning and exploration to statistics, A/B testing, visualization, SQL, and complete ML workflows. You'll build a portfolio-ready end-to-end analysis on a real dataset and earn a certification.

  • 1 enrolled
  • 9 lessons
  • Updated 09/05/2026

  • Sections 4
  • Lessons 9
  • Full lifetime access Yes
  • Certificate Yes
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What you’ll learn
  • 1. Data Wrangling & Exploration
  • 2. Statistics for Decisions
  • 3. Communicating with Data
  • 4. End-to-End ML Workflow
Requirements
No requirements
Course Content
9 Lessons

    • Cleaning & preparing real-world data
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    • Exploratory Data Analysis (EDA)
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