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What you'll learn

  • Mastering Data Science Fundamentals.
  • Understanding the basics of statistics and probability.
  • Exploring data visualization techniques using tools like Matplotlib and Seaborn Data Analysis and Exploration.
  • Utilizing Pandas and NumPy for data manipulation and analysis.
  • Applying exploratory data analysis (EDA) techniques to uncover patterns and insights.
  • Machine Learning Foundations.
  • Introduction to machine learning algorithms and models.
  • Hands-on experience with scikit-learn for machine learning tasks.
  • Advanced Machine Learning and AI.
  • Delving into advanced machine learning concepts.
  • Understanding artificial intelligence and its applications in data science.
  • Practical Data Science Projects.
  • Applying learned concepts to real-world data science projects.
  • Collaborating with peers and mentors to solve complex problems.
  • Project and internship support.

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