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This will get you a clear idea about Data Science. The field of data science gives you the tools and methods you need to process data sets effectively and so get the most from the data you collect. Most simply, it involves obtaining meaningful information or insights from structured or unstructured data through a process of analyzing, programming and business skills. Communication. The Introduction to Data Science class will survey the foundational topics in data science, namely: Data Manipulation; Data Analysis with Statistics and Machine Learning; Data Communication with Information Visualization; Data at Scale -- Working with Big Data The course this year relies heavily on content he and his TAs developed last year and in prior offerings of the course. Why Data Science? Here’s a list of topics I’ll be covering in this Math and Statistics for Data Science blog: Introduction To Statistics; Terminologies In Statistics Data is meaningless if you can't process it to gain insights. Maanvi, December 18, 2020 . This tutorial is ideal for both beginners as well as professionals who want to learn or brush up their Data Science concepts. Below are the topics covered in this tutorial: 1. Introduction to Data Science was originally developed by Prof. Tim Kraska. In this Data Science tutorial, we have covered concepts of introduction to Data Science, what is data science and its importance, what is Data Scientist and How to Become a Data Scientist by step by step process. This Edureka Data Science tutorial will help you understand in and out of Data Science with examples. - Isaac Newton, 1676. Introduction. While going through this Data Science tutorial, you will come to know about machine learning, its classification, SVM, and linear SVM, an extension of SVM, SVM kernel, their practical uses, and the likes. Watch this Data Science Tutorial. This article was published as a part of the Data Science Blogathon. 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