Introduction
The process of examining, cleaning, converting, and modeling data with the purpose of uncovering relevant information, informing conclusions, and assisting decision-making is known as data analytics.
What you will Learn?
In this course, you will learn about the basics of data analysis, python programming, usage of python libraries for data analysis, fundamentals of probability and statistics. You will learn how to preprocess data and exploratory data analysis. Learn to create models to predict the unknown and evaluate your model. Then in the end you build the project for hands-on practice.
Prerequisite: An eagerness to learn and an open mind.
Title | Duration |
---|---|
Introduction to Data Analytics | 2 Hrs |
Introduction to Python Programming | 20 Hrs |
Introduction Statistics | 4 Hrs |
Data Pre-processing and Exploratory data analysis using Python | 12 Hrs |
Data Visualization | 12 Hrs |
Model Development and Evaluation | 10 Hrs |
Time Series Analysis | 8 Hrs |
Capstone Project | 12 Hrs |