Learn the basics of data and how data are used in data science.
- Free tutorial
- Rating: 4.5 out of 54.5 (794 ratings)
- 14,079 students
- 1hr 1min of on-demand video
- Created by Matthew Renze
- English
What you’ll learn
- 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
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Course content
7 sections • 41 lectures • 1h 1m total lengthCollapse all sections
Introduction3 lectures • 5min
- Introduction00:45
- The Rise of Data02:57
- Course Overview01:40
Data7 lectures • 10min
- Overview00:55
- Data01:37
- Information01:15
- Knowledge01:43
- Purpose01:12
- Process02:05
- Summary00:51
Types of Data7 lectures • 10min
- Overview00:58
- Types of Data01:49
- Nominal Data01:08
- Ordinal Data01:18
- Interval Data02:19
- Ratio Data01:43
- Summary00:39
Data Types7 lectures • 11min
- Overview01:02
- Data Types02:17
- Scalar Data Types01:05
- Scalar Data Type Examples02:40
- Composite Data Types01:12
- Composite Data Type Examples02:24
- Summary00:44
Tabular Data7 lectures • 11min
- Overview01:01
- Tabular Data01:34
- Observations01:35
- Variables01:50
- Relationships02:21
- Queries02:01
- Summary00:47
Life Cycle8 lectures • 11min
- Overview01:03
- Collection01:36
- Storage01:58
- Processing01:41
- Analysis01:15
- Action01:23
- Repeat01:30
- Summary00:43
Conclusion2 lectures • 3min
- Next Steps01:28
- Summary01:06
- Quiz10 questions
