A Crash Course in Data Science
Johns Hopkins University via Coursera
Overview
Class Central Tips
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
Syllabus
- A Crash Course in Data Science
- This one-module course constitutes the first "week" of the Executive Data Science Specialization. This is an intensive introduction to what you need to know about data science itself. You'll learn important terminology and how successful organizations use data science.
Taught by
Jeff Leek, Brian Caffo and Roger Peng
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Reviews
3.5 rating, based on 23 reviews
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Gregory J Hamel ( Life Is Study) completed this course.
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”... -
This short course is a great primer to both data science and the Coursera Specialization to which it belongs.
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Not informative enough, consider it as a mediocre starting course in very good Executive Data Science Specialization. If you're going to take a whole specialization (which I recommend) – it's probably worth taking; as a standalone course – I don't think so.
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Stephen Jackson
6As a newbie to the subject this course gave me a concise introduction to it. I did all the modules in an afternoon (~4 hours). This was my first course on data science and I took it because I'm contemplating doing some more in depth, practical courses. -
Dissipate completed this course.
This course provides a peek into what data science is like, but only gives a general picture in relation to some aspects. The topics were fine, but the quality of lecturing is bad with the lecturers being unclear with vague phrases. I would probably have learnt more spending the time reading an introductory book to data science.
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Andrew Pribram8
Andrew Pribram completed this course, spending 2 hours a week on it and found the course difficulty to be very easy.
Good high level overview -- lame that the quizzes are locked, there is essentially nothing to give you a sense of accomplishing anything unless you pay.
Did whole course in one sitting. Will review whole specialization. -
Abu Mohammad Tariqul Ismail1
Abu Mohammad Tariqul Ismail is taking this course right now, spending 2 hours a week on it and found the course difficulty to be medium.
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Gustavo Henrique Mascarenhas Machado completed this course, spending 4 hours a week on it and found the course difficulty to be very easy.
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Colin Khein completed this course.
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Ali Taheri completed this course.
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Octavian Datcu completed this course.
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Stavros Machairidis completed this course.
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Steven Meyer completed this course.
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Lindsay Hopper completed this course.
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Marko Salonen completed this course.
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Marija Musteikyte
Marija Musteikyte completed this course.
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Shaun Moate completed this course.
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Janet Wesner completed this course.
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Vicky Pang completed this course.
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