Introduction to Data Science

Lynda - Introduction to Data Science
Size: 468 MB | Duration: 3h 6m | Video: AVC (.mp4) 1280x720 15&30fps | Audio: AAC 48KHz 2ch
Genre: eLearning | Level: Beginner | Language: English
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
Title: Introduction to Data Science
Size: 420.96 MB | Format: rar
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