Intro to Data for Data Science

Learn the basics of data and how data are used in data science.
Rating: 4.4 out of 5 (88 ratings)
4,312 students
Intro to Data for Data Science
Rating: 4.4 out of 5 (88 ratings)
4,313 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
  • Overview
    00:55
  • Data
    01:37
  • Information
    01:15
  • Knowledge
    01:43
  • Purpose
    01:12
  • Process
    02:05
  • Summary
    00:51
  • Overview
    00:58
  • Types of Data
    01:49
  • Nominal Data
    01:08
  • Ordinal Data
    01:18
  • Interval Data
    02:19
  • Ratio Data
    01:43
  • Summary
    00:39
  • Overview
    01:02
  • Data Types
    02:17
  • Scalar Data Types
    01:05
  • Scalar Data Type Examples
    02:40
  • Composite Data Types
    01:12
  • Composite Data Type Examples
    02:24
  • Summary
    00:44
  • Overview
    01:01
  • Tabular Data
    01:34
  • Observations
    01:35
  • Variables
    01:50
  • Relationships
    02:21
  • Queries
    02:01
  • Summary
    00:47
  • Overview
    01:03
  • Collection
    01:36
  • Storage
    01:58
  • Processing
    01:41
  • Analysis
    01:15
  • Action
    01:23
  • Repeat
    01:30
  • Summary
    00:43
  • Next Steps
    01:28
  • Summary
    01:06
  • Quiz
    10 questions

Instructor
Data Science Consultant
Matthew Renze
  • 4.5 Instructor Rating
  • 135 Reviews
  • 8,169 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.