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Data Science Foundations

Free

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Course Level

Beginner

Total Hour

10h

Video Tutorials

9

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Course content

10h

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

Introduction to Machine Learning

About Course

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.

What Will You 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

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

Audience

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

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Free
Free access this course
  • Beginner
  • 1 Total Enrolled
  • 10 hours Duration
  • June 22, 2026 Last Updated

Material Includes

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

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