Python is regarded as the most preferred programming language for data science. Learn how to analyze data using Python, starting with the basics of the Python language to preparing data for analysis, performing simple statistical analysis, creating meaningful data visualizations, and predicting future trends from data.



Pre-requisites

There are no prerequisites for taking this Programming Basics and Data Analytics with Python course

Modules

• Section 01 - Programming Basics and Data Analytics with Python (Self-Learning Curriculum)

• Learning Objective
• Introduction
• Data Wrangling
• Exploratory Data Analysis
• Model Development
• Model Evaluation

• Section 02 - Programming Basics and Data Analytics with Python (Live Classes Curriculum)

• Course Introduction
• Introduction to Programming
• Programming Environment Setup
• OOPs Concept with Python
• Programming Fundamentals of Python
• File handling, Exception handling, and Package handling
• Data Analytics Overview
• Statistical Computing
• Mathematical Computing using NumPy
• Data Manipulation with Pandas
• Data visualization with Python
• Introduction to Model Building

• Section 03 - Practice Projects