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Data Science Foundations

Breadcrumb Abstract Shape
Breadcrumb Abstract Shape
Breadcrumb Abstract Shape

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

Course Content

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.

Course Includes: