Primeversity Course
Data Science Foundations
Description
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.
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.
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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
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Student Dataset Analysis
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
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Sales Dashboard Project
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
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Predictive Analytics Mini Project
Student Ratings & Reviews
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Free
Free access this course
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LevelBeginner
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Duration10 hours
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Last UpdatedJune 22, 2026
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CertificateCertificate of completion
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Requirements
- Basic computer skills
- No programming experience required
- Python installation recommended
- Google Colab or Jupyter Notebook access
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