Data Science Foundations
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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.
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
Course Curriculum
Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.
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Introduction to Python
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Working with Data Structures
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Introduction to Pandas
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Python Fundamentals
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Pandas & Data Structures
Data Cleaning & Visualization
Learn how to prepare messy datasets and create visualizations that communicate meaningful insights.
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Handling Missing Data
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Data Visualization Fundamentals
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Using Matplotlib and Seaborn
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Data Cleaning
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Visualization Assessment
Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.
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What Is Machine Learning?
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Supervised vs Unsupervised Learning
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Building Your First Model
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Machine Learning Basics
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Model Building Assessment
Course Duration:
10h
Course level:Novice
Price:
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Accès gratuit à ce cours
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NiveauNovice
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Total des inscrits1
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Durée10 heures
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Dernière mise à jouraoût 28, 2026
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