Data Science Tutorial - Comprehensive Guide for Beginners

Learn about Data Science, its applications, tools, and how to start a career in Data Science.

The world is now ruled by data, and this has created an exceptional need for Data Scientists. We interact with data science applications in numerous ways, whether it’s using a search engine to find information on the Internet or asking your mobile device for directions. Data Science has been integral to handling many of our routine daily activities for several years. By gaining a solid understanding of data science, you’ll be able to manage data more efficiently.

Data Science, also known as data-driven science, employs scientific methods, processes, and systems to extract knowledge or insights from data in various forms—whether structured or unstructured. Data Science leverages the most advanced hardware, programming systems, and algorithms to solve data-related problems. This is also the direction in which artificial intelligence is moving.

Audience for Data Science Tutorial

This tutorial is designed for anyone interested in starting a career in data science. It covers essential topics such as what is data science, important data science tools, available courses, top interview questions, data scientist salaries, how to build a career in data science, and future opportunities in the field.

Prerequisites for Learning Data Science

Before diving into this tutorial, you should have a basic understanding of writing code in the Python programming language, using any Python IDE, and executing Python programs. If you are new to Python, we recommend referring to our Python tutorial to gain a solid foundation in the language.

Here are some technical concepts you should be familiar with before starting with Data Science:

• Statistics
• Machine Learning
• Data Modeling
• Databases
• Programming in Python

• Data Science - Home
• Data Science - Getting Started
• Data Science - Define Data
• Data Science - Lifecycle
• Data Science - Prerequisites
• Data Science - Applications
• Data Science - Machine Learning
• Data Science - Data Analysis
• Data Science - Popular Tools
• Data Science - Careers
• Data Science - Scientists
• Data Science - Data Scientist Salary
• Data Science - Interview Questions