Description:

This course covers the fundamentals of Python programming specifically tailored for data science applications. Students will learn how to manipulate and analyze data using Python libraries such as NumPy, Pandas, and Matplotlib, as well as how to work with data structures, functions, and modules. The course also explores data visualization, statistical analysis, and machine learning techniques using Python.

Key Highlights:

• Fundamentals of Python programming for data science
• Data manipulation and analysis with NumPy and Pandas
• Data visualization and statistical analysis
• Machine learning techniques using Python

What you will learn:

• Master Python Basics
  Understand Python syntax, variables, data types, and control structures
• Data Manipulation and Analysis
  Learn how to perform data manipulation and analysis using NumPy and Pandas
• Data Visualization
  Visualize data effectively using Matplotlib and other Python libraries
• Statistical Analysis
  Apply statistical techniques to analyze and interpret data
• Machine Learning
  Explore machine learning concepts and algorithms in Python