Instructor: Kaare Brandt Petersen & Michael Syskind Pedersen.Instructor: Grant Sanderson / Channel: 3Blue1Brown.Computer Science Fundamentals - Introduction, Algorithms, Data Structures, Discrete Mathematics, Operating System, Computer Architecture, Database Concepts, Git, and GitHub.C/C++ Programming - Fundamentals, Problem Solving, OOP Concepts, Algorithms, and Data Structures.

Core DS Concepts - Database Programming, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Data Visualization, Model Deployment, and Big Data.R Programming - Fundamentals, Data Science, and Web Applications.Python Programming - Fundamentals, OOP Concepts, Algorithms, Data Structures, and Data Science Applications.Mathematics - Linear Algebra, Calculus, Probability, Statistics, and Convex Optimization.I have tried to keep the list as short as possible so that it helps the starters get started with their learning without much selection. The focus of this article is solely the listing out of some of the thorough and in-depth online courses and tutorials available out there for domains comprising full-stack data science. But it might vary to a great extent depending upon the individual’s expertise and requirements. I have tried to put down the resources in as much order as possible. It will help beginners start their data science journey without wasting their precious time. The goal of this article is not to list out the required syllabus but rather list out some of the prominent online resources for each subject area in the end-to-end Data Science domain. Subject Matters involved with Data Science. Moving between Udemy, edX, Coursera, and YouTube, many hours are lost.

And with so many resources to go to, many of them keep scraping through resources. But many times, a large number of them do not know where to start. Most of the time, beginners start with either a python course, a machine learning course, or some basic mathematics course. For beginners, it's overwhelming, to say the least. Its demand has seen an exponential rise in online resources, books, and tutorials. Starting from traditional mathematics to advance concepts like data engineering, this industry demands a breadth of knowledge and expertise. By Jawwad Shadman Siddique, Graduate Researcher at Texas Tech.įull Stack Data Science has become one of the hottest industries in the field of computer science.

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