Python for data analysis

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About Course

Are you new to Python or need a refresher? Then this course will help you get all the fundamentals of Python, IDEs, Libraries, data structures and other useful concepts. By the end of the course you would be able to work with data through you Python installation, including data wrangling, cleaning, processing, working with important libraries like pandas, numpy and much more. Learning python would definitely add to your datascience skills, giving you that extra visibility for the hiring managers if you are a job seeker and also enhance your team visibility if you are a working professional.

What you’ll learn

  • how to install python and various IDEs where you can code
  • how to import data from various file formats like csv and excel
  • data wrangling and processing
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Course Content

Get going with Python
In this section we will learn what is programming, python installation using anaconda and various IDEs where you can code in Python.

  • 09:04
  • Python Installation and IDEs
    06:33
  • Using Spyder IDE from Anconda Installation
    06:02
  • Guest Post
  • Quiz-Get Going With Python

Data types used in Python
1. Integers 2. Float 3. Complex numbers 4. Boolean 5. Strings

Operators in Python
Operators are used to perform various operations on different variables or values. This lesson talks about all those operators along with their types.

Data structures used in Python

Conditions and Loops

Functions

Pandas Library

Exceptional Handling
Errors and bugs are part and parcel of any programming language. So we need to learn a way to handle them and exceptional handling is one such tool.

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