A Crash Course in Data Science

Johns Hopkins University via Coursera

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Details

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Provider

Coursera
Pricing

Free Online Course (Audit)
Languages

English
Certificate

Paid Certificate Available
Duration & workload

1 week long, 7-8 hours worth of material
Sessions
Level

Beginner
Subtitles

Chinese, Arabic, French, Portuguese, Italian, German, Russian, Turkish, English, Spanish, Hindi, Urdu

Found in

Data Science Courses

Part of

Executive Data Science

4.8

Overview

Class Central Tips

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

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

Reviews

3.6 rating, based on 25 Class Central reviews

4.5 rating at Coursera based on 7955 ratings

Start your review of A Crash Course in Data Science

Gregory J Hamel ( Life Is Study) @greg

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”...

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.
Aedrian Abrilla @aaabrilla

This short course is a great primer to both data science and the Coursera Specialization to which it belongs.
Stephen Jackson

As 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.
Berbelek @berbelek

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.
Prasanna N R

Very useful and valuable course for an Analyst. Easy material and documentations. Hope this helps for those who are looking for a Data Science but should be crisp to the point.
Dissipate

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.
Andrew Pribram

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.
Anonymous

Como um curso gratuito não era de se esperar muito mas, está com boas aparências e boa recepção.

Através deste curso espero atingir grandes objetivos de empregos e investimentos futuros.
Abu Mohammad Tariqul Ismail

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

Gustavo Henrique Mascarenhas Machado completed this course, spending 4 hours a week on it and found the course difficulty to be very easy.
Colin Khein

Colin Khein completed this course.
Ali Taheri

Ali Taheri completed this course.
Octavian Datcu @octavian7

Octavian Datcu completed this course.
Stavros Machairidis

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