MIT Offers Online Course to Empower Data Scientists with Advanced Analytics Skills

by   |   May 9, 2017 5:30 am   |   1 Comments

Organizations across industries are witnessing an explosion of big data — and much of this data is unstructured and difficult to analyze, leaving many businesses struggling with how to best leverage these vast volumes. But those that can harness this data will be able to produce the actionable insights that will push them ahead of the competition.

To help organizations take full advantage of their vast stores of data, MIT Professional Education has partnered with the MIT Institute for Data, Systems, and Society (IDSS) to offer the course Data Science: Data to Insights. This six-week online class is designed for data science professionals looking to hone their data analytics skills, particularly when dealing with large data sets.

mit pro edThe course provides an introduction to fundamental principles for leveraging big data and answers a broad range of questions about machine learning, data analysis, and predictive algorithms. Professionals at all experience levels will walk away with not only knowledge of the latest tools, but also a deeper understanding of how to apply modern techniques to real-world problems.

Participants will grow familiar with these techniques through hands-on case studies of successful businesses that are taking advantage of modern tools and methods, including Amazon, Spotify, and Netflix. All case studies include a programming section that gives professionals an opportunity to do the work of the business project covered in these case studies.

Professionals will also complete projects that require them to use their skills to solve real-world challenges. For example, students of this course will be asked to use various data methods to visualize the gender wage gap, identify genes that cause autism, and even examine data sets from the Challenger Space Shuttle launch to determine if advanced analytics could have prevented the tragedy.

Available 24 hours a day, seven days a week, this self-paced course consists of pre-recorded videos, enabling you to learn at your own pace and work around your busy schedule. The average time commitment for this course is only three to four hours a week and includes videos, assigned readings, and assignments as well as optional discussion forums. Participants who successfully complete the course will receive 1.3 Continuing Education Units (CEUs) and a Certificate of Completion from MIT Professional Education.

Organizations that know how to leverage the data science tools, technologies, and methods available to capture and make sense of unstructured data are the ones that will succeed in today’s economy. But it takes more than simply learning new skills and current tools, because businesses that truly wish to deliver on the promise of big data must be open to new and different ways of thinking in order to flexibly respond to the latest developments in today’s data revolution.

That’s what MIT’s Data Science: Data to Insights course teaches.

Program Details:

Cost: $625

Registration deadline for the upcoming module is May 30, 2017

Online program available 24 hours a day, 7 days a week

Participants complete coursework at their own pace (avg. time commitment 3-4 hours/week)

Enrollment open to data science professionals around the world; no advance readings, programming experience, or degrees are required

Course offerings developed and taught by leading MIT Faculty

Certificate Details

Course participants eligible for 1.3 Continuing Education Units (CEUs) from MIT Professional Education

Program is on edX platform at and offered by MIT Professional Education in partnership with MIT Institute for Data, Systems, and Society (IDSS)



Subscribe to Data Informed for the latest information and news on big data and analytics for the enterprise.



Tags: , , , , , , , , ,

One Comment

  1. Suzan van Echtelt
    Posted July 15, 2017 at 8:48 am | Permalink

    Hi, could i enroll this week, and pay off course, so i can start watching the video’s duri g my holidays and do the official assignments at a later moment in time?

Post a Comment

Your email is never published nor shared. Required fields are marked *

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>