Python + Data Science Curriculum

Master Python programming and unlock your potential in data science, machine learning, and AI with hands-on experience.

Topics

Introduction to Python Variables, Data Types, and Operators Control Statements (Loops, If-Else) Functions and Modules Object-Oriented Programming (OOPs) in Python Data Structures in Python (Lists, Tuples, Dictionaries) Python Libraries for Data Science: NumPy, Pandas, Matplotlib Data Cleaning and Preprocessing Data Visualization with Matplotlib and Seaborn Introduction to Machine Learning Machine Learning Algorithms: Regression, Classification, Clustering Deep Learning Basics and Neural Networks Building Machine Learning Models
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Python + Data Science

The Python + Data Science Curriculum is designed to make you proficient in Python programming and data science concepts, enabling you to build impactful data-driven solutions.

This course covers the fundamentals of Python and dives into the world of data science, machine learning, and artificial intelligence. You'll work with libraries like NumPy, Pandas, Matplotlib, and Scikit-Learn to solve real-world data problems.

  • Master Python programming from the basics to advanced concepts.
  • Learn how to work with essential data science libraries: NumPy, Pandas, Matplotlib, Seaborn.
  • Gain hands-on experience in building machine learning models and deep learning networks.
  • Prepare for careers in data science, AI, and machine learning.

This course will give you the tools to analyze, visualize, and interpret complex datasets, while also preparing you for a successful career in data science and machine learning.