Brian Caffo does a terrific job teaching some of more advanced material, I very much appreciate his jokes and humor, as well as his helpful explanations of the material.

Another excellent Executive Data Science course. Brian gives clear and concise explanations of the ideal versus real world of the data science workplace.

This is a recommended course where you understand what are the requirements for a data engineer, data manager and data scientis

Brief Profile: Sohail Butt

I am a man of 58 years old and having an experience of almost 30 years of Business Management of Pharmaceutical & Nutraceutical Industries of Pakistan. Presently I am having my own Consulting Company " AIMMS CONSULTING" and extending my services as Management Consultant to different companies of said sectors.

I am of the conviction that learning is never ending and have a habit of learning new ideas about my favorite subject about Data Science. Although I have the limited usage of this subject in my working areas but I love to know about new areas of different specialties.

I really appreciate highly the efforts of Mr. BRIAN CAFFO and enjoyed the course material and videos presentation of this course. Mind blowing approach was adopted especially in the basic components of Data Science in Real Life.

SUGGESTION:

MY PERSONAL HUMBLE REQUEST, Please make also the important components of course material as a part of this Certificate with % AGGREGATE so that it has a much more worth & impact for the courses participated.

A separate Transcript must be issued with having Aggregate % Score and important Components of participated course.

Hard Copy of this certificate mail to my home address in Pakistan. Please use my credit card,I am ready to pay all expenses in this connection.

Thanks & best wishes to all Coursera Team.

great for existence human and android based life-form simulation internal lifestyle...

The course improves life within the simulation 10 fold at least(when combined with the other specialization courses) ...

Perfect learning tool for those who have worked professionally in research field sin our simulation and yet now have a touch of "the turrings" or you know : CBI...

Special thanks to the designers of the course.

Top scores for coursera.org &John Hopkins ...

My name is Jose Antonio from Brazil. I am looking for a new Data Scientist career.

Please, take a look at my LinkedIn profile: https://www.linkedin.com/in/joseantonio11

I did this course to get new knowledge about Big Data and better understand the technology and your practical applications.

The course was excellent and the classes well taught by teachers.

Congratulations to Coursera team and Instructors.

Regards

Great information. For real newbies like me, might help to review basic concepts a few times (e.g. what does "p" mean? I know it was explained, but didn't grasp it the first time, helps if I hear it a few times, etc.) But, hey, you guys have done a fantastic job pulling all this together and teaching it at the 30,000 ft. view level. So great job.

Excellent course! The only thing I would say is that many managers from the corporate field simply would find it too "academic". But this was a huge plus for me - and I think the course will serve extremely well also to anyone who works in academic research and has to handle some real-life data.

This class was bit more difficult than the previous ones and it requires really focused attention on understanding the subject matter. The course is intended to improve your understanding in subjects of surrogate variables, and how to become a better database manager. Excellent course!

The other courses in the exec series are a little simple. This started to address some core analysis issues and how to address them in a real life situation. A good reminder and thought provoker on what should be trying to do within the enterprise

I really liked the approach of this class --comparing pure theory with what could possibly happen in real life!

This gave us a nice palette of problems and some tips about corresponding techniques / tools that can be used to solve them.

Very engaging topic. The course will provide a very good and practical application of data science in real-world scenarios. The course materials are quite enough to gain understanding on the different topics presented. Kudos JHU!

Necessities: practical tools and techniques for managing real life issues with data cleanliness, interpretation of results, report writing, version control. All of them complete necessities for real life commercial projects.

The course is a good compilation of essential concepts to avoid pitfalls during analysis. Most material is given a short intro only, so a good data science background is needed to appreciate the material presented here.

Excellent overview of implementing practical data science; however, an area of improvement is emphasizing machine learning as a practical solution for finding answers especially with large and complex data sets.

A very good and concise course that helps to understand the basics of the Data Science and its applications. The examples are very relevant and helps to understand the topic easily.

Highly educational course on the realities of data analysis. Many good tips for your own analyses as well as for managing others responsible for coherent and accurate analyses.

Clear explanation of various concepts with good examples. Of course, reference to some cool cartoons from time to time made the concepts more memorable!

Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel

An amazing course for those who are not very familiar with statistics and a very refreshing perspective for those who actually knows statistics!

I just finished this course but I cant enroll to the last one (I have 4/5 course in this moment). Can you please help me?? thanks!!!

Great course, although, if you are not already working or have knowledge in this particular filed/topic, it is challenging.

An excellent overview of the topic material without a lot of unnecessary clutter. Well-organized and -communicated. Kudos.

The authors really present real situation and challenges that data scientists face in their daily activities. Very good.

Very easy to follow with good examples. The focus on this course was on practicality and I really appreciated that