Python Programming
- Introduced to python environments and packages, concept of Object-Oriented Programming, programming for a live environment, debugging, IDEs
- python basics such as class, objects, functions, conditions, loops/iterators, array, dictionary, lambda, mathematical and statistical operations, NumPy for matrix algebra, exception handling, and file handling. Hands on Exercises
- Understand how to import data on Python – import/read data from different sources; import/read data of different file formats; metadata and data dictionaries; store data in required structures like data frames; tools/packages/libraries to perform the above operations using python. Hands on Exercises
- Deep dive into Pandas. Hands on Exercises
- Matlib and Basic graphs. Hands on Exercises
- Introduction to API building and Testing. Hands on Exercises
- Simple python application for Data Analysis/Exploratory Analysis.
- Introduction to scikit learn. Hands on Exercises
- Python Coding best practices.