As the name suggests, the module will mark its beginning with a description of what exactly Python is and why there arises a need for it in the field of Data Science. The module will further help you understand the installation procedure of Anaconda, understand the Jupyter Notebook, and learn in detail about the basic commands in Jupyter Notebook. The course is led by emphasizing the understanding of Python Syntax and pouring some light on variables and operators.
Data Types and Data Structures
This sub-module will talk about the different types of data that you are going to cross paths with in the industry, such as strings, float, integer, boolean and data structures such as lists, sets, tuples, and dictionaries.
Control Flow and Conditional Statements
In the Control Flow and Conditional Statements sub-module, the students will learn about the If, Elif, and Else statements in Python along with While Loops, For Loops, Nested Loops, and List and Dictionary Comprehensions.
Gain valuable information about User Defined Functions, Lambda Functions, Maps, Filters, and Reduce, the knowledge of which possess incredible utility in dealing with data.