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Data Science Foundations

Learn the complete data science workflow from collecting and cleaning data to analyzing trends and building predictive models. This beginner-friendly course introduces Python, data visualization, statistical thinking, and machine learning through practical projects that mirror real-world business and research scenarios.

Course Duration: 10h
ENROLMENT
Free
Free
Free access this course
  • Level
    Beginner
  • Duration
    10 hours
  • Last Updated
    June 22, 2026

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What you'll learn

  • Write Python code for data analysis
  • Clean and prepare datasets
  • Analyze data using Pandas
  • Create effective visualizations
  • Understand statistical concepts
  • Build basic machine learning models
  • Interpret and communicate insights
  • Complete end-to-end data projects

Course curriculum

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

  • Introduction to Python
  • Working with Data Structures
  • Introduction to Pandas
  • Python Fundamentals
  • Pandas & Data Structures

Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.

Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.

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Course information

Course level:Beginner
Course Duration: 10h
Last Updated:June 22, 2026
Enrolled:0

Material Includes

  • Practice datasets
  • Python cheat sheet
  • Data cleaning checklist
  • Visualization guide
  • Machine learning workbook

Requirements

  • Basic computer skills
  • No programming experience required
  • Python installation recommended
  • Google Colab or Jupyter Notebook access

Target Audience

  • Students
  • Aspiring Data Analysts
  • Aspiring Data Scientists
  • Business Professionals
  • Researchers
  • Career Switchers

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