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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.
Handling Missing Data
Data Visualization Fundamentals
Using Matplotlib and Seaborn
Data Cleaning
Visualization Assessment
Introduction to Machine Learning
Understand how machines learn from data and build your first predictive models.
What Is Machine Learning?
Supervised vs Unsupervised Learning
Building Your First Model
Machine Learning Basics
Model Building Assessment
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A course by
A
by
admin
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