Course Image
Module 7 8 Hours Advance

Python for Data Science

Description

Data science can be defined as a blend of mathematics, business acumen, tools, algorithms and machine learning techniques, all of which help us in finding out the hidden insights or patterns from raw data which can be of major use in the formation of big business decisions. In this course we are going to learn data handling and manipulation methods with the help of Python .

What Will You Learn?
  • Working ON Python Environment (Jupyter Notebook)
  • Python operation for data analysis
  • Libraries like Numpy and Pandas
  • Data Handling
  • Data Manipulation
Requirements

Familiarity with basic computer operations and internet usage.

The Course Curriculam
  • MODULE 1: Introduction Part
  • MODULE 2: Functions and Recursion
  • MODULE 3: While and for loops
  • MODULE 4: Numpy and CSV files
  • MODULE 5: Pandas Series and DataFrmae
  • MODULE 6: Data Handling and Manipulation
  • MODULE 7: Data Handling and Manipulation