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
Overview
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
Tags
Related Courses
Related articles
Reviews
3.6 rating, based on 25 Class Central reviews
4.5 rating at Coursera based on 8193 ratings
-
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 S…
-
This short course is a great primer to both data science and the Coursera Specialization to which it belongs.
-
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.
-
Stephen JacksonAs 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. -
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. -
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 RVery 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. -
Aanchal Choudharythank you for providing such an wonderful, course with python ,machine learning ,r basic, had a great time and did a great work learning over here thank you ones again. -
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.
-
Gustavo Henrique Mascarenhas Machado -
-
