it's a great course and a good exam, although to be honest, some questiones caught me off guard, because they were focused on people (about the positiones they held, and in wich companies) and i had studied what they said, rather than who said it.

This course is quite informative for someone who knows nothing about data science to begin with and gives a very basic description of data science. It explains to us what data science is without the technical jargons and is very easy to understand

a good introduction to the world of data science. it helps you understand the concept of the field and you get acquainted with its various applications. and it also points out the skills and experiences that you require to become a data scientist.

A great introduction to Data Science. Not only does it give a great high level introduction from leaders in the field, but also invokes the person's interest to learn more about Data Science. I met some great peers as a part of the course as well.

After completion of the course, you will be able to understand the business problem of any data science project and you can make a overview in the particular problem related to the data science.

Thank you IBM and Coursera for the wonderful course.

Great course. All the course material was relevant and up to date. The content was rich, went in depth, and was easy to understand. I am glad I started this course, it reaffirmed my desire to begin a career in data science. Will sign up for more!

This course is a perfect start for Data Science. The best part about the course was the interview of various data scientist. They not only shared their experience, but also gave some tips in order to become a data scientist. Really enjoyed it !!!

Special thanks to Dr. Murtaza Haider, Dr. Alex Aklson and Dr. Polong Lin for guiding me through this amazing tour to what really is Data Science. Last, but not least, thanks to IBM and Coursera for producing great and fresh courses like this one.

This is very well organized course and very easy to keep in track and connected to the main objective. I learned what's data science, how does it influence our life, what and how can I utilize data to improve the performance at many disciplines.

Excellent introduction into what Data Science is. If you've ever wondered what it's all about, this course explains it concisely and highlights what it takes to be a data scientist and why it is an essential field in the modern world we live in.

As a beginner I've found this to be a great introductory course to Data Science. I've found the information to be very helpful and well presented and recommend this course to all those who are interested in learning about Data Science is about.

A very good introduction to Data Science. It explains what is needed to become a data scientist, giving a clear picture of the differences between Artificial Intelligence, Data Science, Machine Learning, Deep Learning, Data Mining, and Big Data.

awsome learning app of Coursera due to i learn best knowledge of basic data science really learn this platform not only read this book but Coursera video most benefit of complete data science study than next step whole study

thanks Coursera

Excelente curso introductorio, aunque aun falta trabajo para lograr un acceso verdaderamente inclusivo. El contenido está mayormente en ingles, aunque una persona con un nivel intermedio y algun motor de traducción puede arregarse perfectamente.

This course has introduced me to Data Science and opened up a new world of interest to me. I originally took this course to help me be more proficient in Financial Analysis, but I discovered a new interest in Data Analysis as a whole. Thank you.

C'est super passionnant. je suis tres heureux d'apprendre. je vous remercie infiniment pour la chance que vous m'accordez de faire une reconversion professionnelle.

Merci infiniment et je suis tres heureux de continuer a apprendre.

Cordialement

A really good and learning professional course on data science. Professor are amazing and interactive. Though its a video lecture but feels like offline classroom teaching. Really enjoyed learning. Thanks IBM and coursera for wonderful courses.

This course was quite insightful and had all the ingredients to make me furthermore interested in data science career. A big thanks to the team which compiled the videos and took the pain to compile the quite insightful videos! Bigthanks again!

I enjoyed learning about the topic and gaining knowledge of the field. The videos and the individuals that presented their perspective provided useful insights and expectations in this career field. I'm glad to pursue a career in this industry.

A very good course to understand what data science is .I liked the course very much .Before the course my level was zero but when i ended the course i was feeling that yes i have got much information about this field .It was very interesting .

Understand and apply the principles of the SAS programming language in practical examples. Prepare and practice for the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam. Flexible Online Learning. Earn a Degree. Achieve Your Goals.

Excellent introductory course. Presents key concepts to begin a carrer in Data Science. Has a very good content of videos, quizzes and readings. I'm really greattifull for completing this course and seeing that IBM deliver everything proposed.

This course provides a wonderful introduction to Data Science in a very simplified and amazing way.

Had a lot of fun going through this journey. Whoever interested in learning Data Science from scratch should get enrolled in this. Thanks a lot!

I liked you concise why of presenting the enssential, without geeting into too much BS. This topic does give avenues for a lot of BS, unless you are focussed and desciplined to check off the right items and move on. You did a good job. Cheers!

The courses have enriched me in understanding the data science. The courses provided simple explanation through videos and writing which enables me to much better understand.

I will continue to the next level of the courses

Thank you coursera.