Introduction to Data Science

Overview

To keep up with the ever-evolving aspects of data and its domains, data handling and analysis have become crucial to understanding the information that comes attached to it, and that is exactly why data science has come such a long way. Data science is gradually conquering the world in all its glory, and that's why it's one of the most sought-after career options today, with millions of people wanting to learn the domain and master it. Data Science may be outlined as the study of information, wherever it comes from, what it represents, and also the ways by which it may be reworked into valuable inputs and resources to form business and IT strategies. In this course, you will understand what is data science and why do we need data science in this fast growing technological world. You will learn about life cyle of data along with idea of statistics and time series along with understanding of database such as SQL and NoSQL. Once you have the initial knowledge about the data, you will how to handle large amount of data using Big Data. This course will introduce you to the world of Data Science and topics related to Data Science. The faculty for the course is Dr. Abhinanda Sarkar, Ph.D. from Stanford University and Ex-Faculty MIT, is Academic Director at Great Learning for Data Science and Machine Learning Programs.

Syllabus

What and Why Data Science?

This module introduces the domain of Data Science, defining its purpose and explaining why it has become a critical field in the modern technological world.

Lifecycle of Data Science

This module covers the complete lifecycle of data, from collection and processing to analysis and communication of insights.

Basic idea of Distribution

This module focuses on the basic idea of statistical distributions, teaching you how to understand and interpret data patterns and variability.

A/B Testing

This module explores A/B testing, demonstrating how to design and execute experiments to compare two versions and determine which performs better.

Time Series in Data Science

This module teaches the fundamentals of time series analysis, covering techniques for analyzing data points collected over a sequence of time.

Introduction to Data Science

This section gives you various examples to help you understand Data Science. It explains how you decide on a place for the vacation, how the weather is predicted, and sales during a particular time in a year using data science.