Data Science Foundations

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What I will 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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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