A Crash Course in Data Science

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7/10 stars
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Course Details

Cost

FREE,
Add a Verified Certificate for $49

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Course Provider

Coursera online courses
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with yo...
Coursera's online classes are designed to help students achieve mastery over course material. Some of the best professors in the world - like neurobiology professor and author Peggy Mason from the University of Chicago, and computer science professor and Folding@Home director Vijay Pande - will supplement your knowledge through video lectures. They will also provide challenging assessments, interactive exercises during each lesson, and the opportunity to use a mobile app to keep up with your coursework. Coursera also partners with the US State Department to create “learning hubs” around the world. Students can get internet access, take courses, and participate in weekly in-person study groups to make learning even more collaborative. Begin your journey into the mysteries of the human brain by taking courses in neuroscience. Learn how to navigate the data infrastructures that multinational corporations use when you discover the world of data analysis. Follow one of Coursera’s “Skill Tracks”. Or try any one of its more than 560 available courses to help you achieve your academic and professional goals.

Provider Subject Specialization
Humanities
Sciences & Technology
4639 reviews

Course Description

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 scie... 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 contexts 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 course image
Reviews 7/10 stars
1 Review for A Crash Course in Data Science

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Greg Hamel profile image
Greg Hamel profile image
8/10 starsCompleted
  • 116 reviews
  • 107 completed
2 years, 11 months ago
A Crash Course in Data Science is a succinct, one-week overview of the field of data science produced by the same team from John Hopkins University that produced Coursera’s data science specialization. It is the first course in the “Executive Data Science” specialization, a data science track aimed at non-technical people like business managers. The course defines data science and then discusses different aspects of data science like statistics, machine learning and the structure, output and success metrics for data science projects. Grading is based on a handful of short multiple-choice comprehension quizzes. A Crash Course in Data Science is good for what it is: a brief overview of a field taught at a high level so that anyone can follow along. The professors have plenty of face time, explain concepts well and the video quality is good. The content quality is a definite step up from the original John Hopkins data science track. ... A Crash Course in Data Science is a succinct, one-week overview of the field of data science produced by the same team from John Hopkins University that produced Coursera’s data science specialization. It is the first course in the “Executive Data Science” specialization, a data science track aimed at non-technical people like business managers. The course defines data science and then discusses different aspects of data science like statistics, machine learning and the structure, output and success metrics for data science projects. Grading is based on a handful of short multiple-choice comprehension quizzes. A Crash Course in Data Science is good for what it is: a brief overview of a field taught at a high level so that anyone can follow along. The professors have plenty of face time, explain concepts well and the video quality is good. The content quality is a definite step up from the original John Hopkins data science track. The only real knock against this course is its brevity and the fact that it costs the full $49 to get a verified certificate if you want to complete the specialization. A course that you can complete in an hour or two should not cost the same as a month-long course. Students looking to dig their teeth into something substantial for the first month of the Executive Data Science specialization may be disappointed. A Crash Course in Data Science is a well-made primer on the data science field, but its brevity may leave paying students wanting. For freeware students I give this course 4 out of 5 stars: Very Good.
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