John Hopkins University - A Crash Course in Data Science
4.0 /5- Offered byCoursera
A Crash Course in Data Science at Coursera Overview
Duration | 7 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
A Crash Course in Data Science at Coursera Highlights
- 23% started a new career after completing these courses.
- 25% got a tangible career benefit from this course.
- Earn a certificate from the university of Johns Hopkins upon completion of course.
A Crash Course in Data Science at Coursera Course details
- By now you have definitely heard about data science and big data. In this one-week class, we will provide a crash course in what these terms mean and how they play a role in successful organizations. This class is for anyone who wants to learn what all the data science action is about, including those who will eventually need to manage data scientists. The goal is to get you up to speed as quickly as possible on data science without all the fluff. We've designed this course to be as convenient as possible without sacrificing any of the essentials.
- This is a focused course designed to rapidly get you up to speed on the field of data science. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward.
- After completing this course you will know.
- 1. How to describe the role data science plays in various context
- 2. How statistics, machine learning, and software engineering play a role in data science
- 3. How to describe the structure of a data science project
- 4. Know the key terms and tools used by data scientists
- 5. How to identify a successful and an unsuccessful data science project
- 3. The role of a data science manager
- Course cover image by r2hox. Creative Commons BY-SA: https://flic.kr/p/gdMuhT
A Crash Course in Data Science at Coursera Curriculum
A Crash Course in Data Science
About Your Instructors
What is Data Science?
Statistics by example activities
Machine learning, the basics
Machine learning further reading
What is Software Engineering for Data Science?
The Structure of a Data Science Project
The outputs of a data science experiment
The four secrets of a successful data science experiment
Data Scientist Toolbox
Separating Hype from Value
Specialization Textbook
Grading
Pre-Course Survey
Statistics by example activities
Machine learning
The outputs of a data science experiment
The four secrets of a successful data science experiment
Post-Course Survey
What is data science?
What is statistics good for?
Machine learning
Quiz: Software Engineering
Structure of a Data Science Project
The outputs of a data science experiment
Defining Success in Data Science
Data scientist toolbox
Separating hype from value
A Crash Course in Data Science at Coursera Admission Process
Important Dates
Other courses offered by Coursera
A Crash Course in Data Science at Coursera Students Ratings & Reviews
2 Ratings- 3-42
Student Forum
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