Tackling The Challenges Of Big Data Edx Ourse From MIT Professional

Tackling The Challenges Of Big Data Edx Ourse From MIT Professional The course will be offered through MIT Professional Education, the arm of MIT that provides professional education and training for science, engineering and technology professionals worldwide.

It will be the first of a new line of professional programs called Online X Programs, to be delivered globally using the MIT and Harvard founded open-sourced online education platform, edX.

The course will provide companies and organizations the ability to offer training and education to their employees on a topic that confronts most industries today.

Upon completion, participants will receive an MIT Professional Education certificate of completion and access to MIT Professional Education’s expansive professional alumni network. The course will be offered at $495.

MIT Professional Education Is Pleased To Be Able To Offer A Unique

Comprehensive online course addressing a very important challenge facing industry today,” said Bhaskar Pant, executive director of MIT Professional Education. “

With the teaching power of a ‘who’s who’ list of thought leaders on the subject from CSAIL, I am confident this course will allow industry players to not only learn of new approaches to big data,

But will spark innovative thinking among teams charged with finding solutions to big data challenges.

Tackling the Challenges of Big Data is designed to be valuable to both individuals and companies because it provides a platform for discussion from numerous technical perspectives.

The concepts delivered through this course can spark idea generation among team members, and the knowledge gained can be applied to their company’s approach to Big Data problems and shape the way business operate today.

What is big data?

Big data refers to the analysis of large data sets to find trends, correlations or other insights not visible with smaller data sets or traditional processing methods.

The exponential growth of internet-connected devices and sensors is a major contributor to the large troves of data that exist today.

The storage, processing and analysis of data can require hundreds or thousands of computers. Breaking down the big data definition, an example can be found in the development of the autonomous vehicle.

The sensors on self-driving vehicles are capturing millions of data points that can be analyzed to help improve performance and avoid accidents.

Was it worth it? Or was it just Hype?

On the whole I would say that this course is definitely worth it, especially for people who are looking for an overview to see how they would want to position themselves in the big data sphere. I have learned a lot from it and would now like to challenge myself to see how I could use this knowledge.

If you are wanting to write code or algorithms then you might want to do a MSc or dedicated program for that, but as much as this program gives an amazing overview it also shows people the potential pitfalls/constraints and how significant an impact bad data analysis, visualisation, storage and interpretation could have not only for the firms but also for the people on the street using their products and services.

Ignorance might be bliss for some, but knowledge is definitely a powerful bliss to have. Big data is here to stay and it is important to strike a good balance between algorithm based results vs using that data in the real world.

This system eventually will only be as good as the people using it and what their intentions are and their ability to not get blinded by the system itself (crisis of 2008 comes to mind).

I hope you have enjoyed reading these blog entries and I hope to engage with as many readers as possible and will later think about taking this on, on a regular basis. Your feedback is vital so don’t be shy.

The application of the course is broad and can apply to both early career professionals as well as senior technical managers.

Participants will benefit the most from the concepts taught in this course if they have at least three years of work experience.

Participants may include:

  • Engineers who need to understand the new Big Data technologies and concepts to apply in their work
  • Technical managers who want to familiarize themselves with these emerging technologies
  • Entrepreneurs who would like to gain perspective on trends and future capabilities of Big Data technology

The course is taught by a team of world-renowned experts in each of these areas from MIT and the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).

The 5 Dimensions Of Big Data Now Include Veracity