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What you'll learn

  • Master Python for Data Science.
  • Python programming fundamentals.
  • Data manipulation and analysis with Pandas.
  • Visualization using Matplotlib and Seaborn.
  • Data Science Foundations.
  • Statistical concepts and hypothesis testing.
  • Exploratory Data Analysis (EDA).
  • Feature engineering and selection.
  • Machine Learning with Python.
  • Introduction to machine learning algorithms.
  • Model evaluation and hyperparameter tuning.
  • Practical implementation of ML models.
  • R for Data Science.
  • R programming basics.
  • Data visualization with ggplot2.
  • Statistical modeling using R.
  • Capstone Project.
  • Apply learned skills to a real-world project.
  • Design and implement an end-to-end data science solution.
  • Project presentation and feedback.

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