Data Science Foundations
About This 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.
Learning Objectives
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
Target Audience
- Students
- Aspiring Data Analysts
- Aspiring Data Scientists
- Business Professionals
- Researchers
- Career Switchers
Curriculum
9 Lessons10h
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.
Your Instructors
test
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Free
Material Includes
- Practice datasets
- Python cheat sheet
- Data cleaning checklist
- Visualization guide
- Machine learning workbook
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