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RELEASE NAME....: Lynda.com.Introduction.to.Data.Science-ELOHiM
RELEASE DATE....: 2016-07-09
RELEASE SIZE....: 30x15Mb
FORMAT..........: Bookware
LANGUAGE........: English
URL.............: http://www.lynda.com
Introduction to Data Science provides a comprehensive overview of modern
data science: the practice of obtaining, exploring, modeling, and
interpreting data. While most only think of the "big subject," big data,
there are many more fields and concepts to explore. Here Barton Poulson
explores disciplines such as programming, statistics, mathematics, machine
learning, data analysis, visualization, and (yes) big data. He explains
why data scientists are now in such demand, and the skills required to
succeed in different jobs. He shows how to obtain data from legitimate
open-source repositories via web APIs and page scraping, and introduces
specific technologies (R, Python, and SQL) and techniques (support vector
machines and random forests) for analysis. By the end of the course, you
should better understand data science's role in making meaningful insights
from the complex and large sets of data all around us.
Topics include:
* The demand for data science
* Roles and careers
* Ethical issues in data science
* Sourcing data
* Exploring data through graphs and statistics
* Programming with R, Python, and SQL
* Data science in math and statistics
* Data science and machine learning
* Communicating with data
Subjects: Big Data, IT
Author: Barton Poulson
Level: Beginner
Duration: 3h 6m
Released: 7/5/2016