python programming

The primary objective of this course is to provide participants with a solid foundation in basic data analytics using Python. The course begins with detailed instructions on setting up the Python programming environment on a Windows platform, ensuring all participants are prepared to engage with the material effectively.

Following the setup, we will explore fundamental Python concepts. This includes an introduction to the Python interpreter, an overview of various data types, and a thorough examination of operators. Participants will also learn the importance of proper indentation in Python, which is crucial for writing readable and error-free code. We will cover essential programming constructs such as conditional statements, loops, and functions, providing hands-on practice to reinforce these concepts.

In addition to core Python programming skills, the course will introduce participants to key data analytics libraries. We will cover NumPy for numerical computing, Pandas for data manipulation and analysis, and Matplotlib for data visualization. By the end of the course, participants will be equipped with the knowledge and skills needed to perform basic data analytics tasks using Python, leveraging these powerful tools to extract insights from data.

Please get in touch with [email protected] for more information.