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Data Science

Data Science

Build practical data science skills by learning how to collect, clean, analyze, visualize, and interpret data. This course covers Python, statistics, databases, data visualization, exploratory data analysis, and machine learning fundamentals. You will work with real-world datasets and learn how to transform raw data into meaningful insights for data-driven decision making.
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Responsible Pawan Dubey
Last Update 08/30/2026
Completion Time 18 hours 16 minutes
Members 1
Advanced data science beginner Intermediate
  • Statistics Fundamentals
    1Lessons · 4 min
    • StatQuest: Histograms, Clearly Explained
  • Python for Data Analytics
    1Lessons · 11 hr 10 min
    • Python for Data Analytics - Full Course for Beginners
  • SQL for Data Analytics
    1Lessons · 4 hr 9 min
    • SQL for Data Analytics - Learn SQL in 4 Hours
  • Data Analyst Bootcamp
    1Lessons ·
    • 2026 FREE Data Analyst Bootcamp [24 Hours+] for FREE | SQL, Excel, Python, Power BI, GitHub, AWS
  • Pandas / Scikit-learn
    1Lessons · 13 min
    • How do I use pandas with scikit-learn to create Kaggle submissions?
  • Data Science Career
    1Lessons · 1 hr 16 min
    • Data Science Portfolio Project From Scratch | Building a YouTube Data Dashboard with Streamlit
  • Machine Learning Projects
    1Lessons · 39 min
    • Tutorial 3-End To End ML Project With Deployment-Project Problem Statement,EDA And Model Training
  • Kaggle / Data Science Projects
    1Lessons · 45 min
    • Economic Data Analysis Project with Python Pandas - Data scraping, cleaning and exploration!