Best MOOCs In Business For January

Data Science

A Crash Course in Data Science

 

School:Ā John Hopkins University

Platform:Ā Coursera

Registration Link:Ā CLICK HERE

Start Date:Ā Available Anytime (Self-Paced / 1 Week Long)

Workload: 4-6 Hours

Grades: Students can choose to explore course videos, discussions, and ungraded assignments for free, but they wonā€™t be able to submit graded assignments, earn a certificate, or complete a specialization without paying a $49 fee.

Instructors:Ā Roger Peng, Brian Caffo and Jeff Leek

Credentials:Ā Each of the professors is a Ph.D. who teaches biostatistics at the Johns Hopkins University Bloomberg School of Public Health. Leek and Peng collaborate together on the Simply Statistics blog. Leek recently created a data analysis course that earned him a teaching excellence award from students. Caffo is another master teacher who won the schoolā€™s Golden Apple and AMTRA teaching awards, along with collecting a Presidential Early Career Award for Scientist (PECASE) and Engineers. Pengā€™s research focuses on environmental data and he has also developed over a dozen software packages in statistical methods, reproducible research (where he is hailed as a global expert), and data distribution.

Description:Ā Everyone throws around the term ā€œbig data?ā€ What does it really mean? How does it work? And can you successfully apply its principles. Describing this course as ā€œdata science without all the fluff,ā€ the course is designed to provide an entry level foundation in the fieldā€™s basic concepts and applications. Notably, the course will focus on the role of data science in various business functions and contexts; the key terminology and tools used in the field; and how to set up a data project that delivers reliable and valuable data.

Review: ā€œA 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.ā€ For additional reviews, click here.

Additional Note:Ā This course is the first part of John Hopkins Universityā€™s ā€œExecutive Data Scienceā€ specialization, ranked as Courseraā€™s second most popular specialization in 2015. The ā€œCrash Courseā€ is the first part of a five course specialization, which covers building a data science team, managing data analysis, and understanding data science in real life contexts. To learn more about these courses and register for them, click here.

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