Intro to Data for Data Science

Learn the basics of data and how data are used in data science.
Rating: 4.2 out of 5 (123 ratings)
4,930 students
Intro to Data for Data Science
Rating: 4.2 out of 5 (123 ratings)
4,930 students
Learn what data are and why they are important
Learn how data are used in data science
Learn the types of data that exist in data science
Learn how data are represented in a computer
Learn how to extract information from a table of data
Learn about the data life-cycle from data collection to action

Requirements

  • None - this is an introductory course for beginners

Description

In an information economy, data is the new oil. However, most people lack even a basic understanding of what data are and how they are used in data science. As a result, many of us will be left behind during the next industrial revolution, an information revolution.

In this course, we will learn about data as a foundation for data science. We’ll learn what data are and why they are important. In addition, we’ll learn about data types, data structures, tabular data, and the data life cycle.

By the end of this course, you’ll understand data and how data are used in data science.

Who this course is for:

  • Beginners
  • IT Professionals

Course content

7 sections • 41 lectures • 1h 1m total length
  • Introduction
    00:45
  • The Rise of Data
    02:57
  • Course Overview
    01:40

Instructor

Data Science Consultant
Matthew Renze
  • 4.4 Instructor Rating
  • 211 Reviews
  • 9,677 Students
  • 2 Courses

Matthew Renze is a data science consultant, author, and public speaker. Over the past two decades, he has taught over 250,000 software developers and IT professionals how to build intelligent software systems. His clients include small software start-ups to Fortune 100 companies across the globe.

He’s a Microsoft MVP, an ASPInsider, an author for Pluralsight, and an open-source software contributor. His focus includes artificial intelligence, data science, and machine learning.