Data Science Foundations

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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 fundamentals, data visualization, statistical thinking, and machine learning, through hands-on projects reflecting real-world scenarios in business and research.

What Will You Learn?

  • Write Python code for data analysis
  • Clean and prepare datasets
  • Analyze data using Pandas
  • Create effective data visualizations
  • Understand statistical concepts
  • Build basic machine learning models
  • Interpret and present results clearly
  • Complete end-to-end data science projects

Course Content

Python for Data Analysis
Learn the Python fundamentals necessary for working with data and preparing datasets for analysis.

  • Working with Data Structures
  • Introduction to Pandas
  • Python Fundamentals
  • Pandas & Data Structures
  • Student Dataset Analysis

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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Specialist pediatric cardiac care from infancy through adolescence, combining accurate diagnosis, advanced cardiac assessment, personalized treatment plans for every child, and long-term follow-up.

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