Python is one of the most popular and fastest growing programming languages in the world. It's used for all sorts of tasks, including web programming and data analysis, and it has emerged as the language to learn for machine learning. That popularity means Python developers are in demand, and Python programming jobs can be lucrative.

The above-mentioned reasons are why it might be a good idea for you to learn how to program in Python. This module will provide an introduction to using Python to build an app, which can be a starting point to becoming a Python programmer.

Industry-oriented data science curriculums are designed to equip students with the skills and knowledge needed to apply data science techniques in real-world industry settings. Here are some key components typically found in such curriculums:

• Write your first program in Python

• Explore packages to better manage projects

• Learn Python basics, including the following elements:

  • Boolean types
  • Strings
  • Mathematical operations
  • Lists and loops
  • Dictionaries
  • Functions
  • Error checking

• Get familiar with Jupyter notebooks

For each topic, we will discuss in detail, practise with synthetically made industry data, assignments will be given and feedback will be shared. Test will be conducted. Additional help will be provided to prepare on vendor certification for example, Microsoft Data Scientist DP 100 exam.