The course is a very pleasant introduction to the field of data science. Don't expect too much coding or theory - the goal of this course is to let you grasp the basic concepts and ways of thinking.

I already have some experience in data science, but gained more than expected here!

(HOWEVER, the next two courses in this certificate - not on par with this one).

I had a great time learning all new information about data science and data scientist, thank you very much for this big chance, using of story telling in communicating thr findings is perfect also hearing professional rxperiences from vey professional people in the feild and the chance to know multiple big companies which use data analysis in their business.

I am very satisfied with the quality of the videos, which are basically interviews, in two ways: The content of the interviewees was excellent - to the point, well spoken. The quality of the sound was also excellent. Overall, this is a very helpful basic course that everyone who starts in, or is already involved with, the field of data science should review.

I liked that you have people from different professional backgrounds provide their definition of Data Science. It makes me feel good about what I am doing, because I studied to become a lawyer, and I found out recently that I am good at analyzing data so I decided to start a career now in Data Science. Thank you to everyone that made this training possible!

This is a well developed and paced course that presents the basics of Data Science and its purpose in our modern world. I highly recommend this course to everyone that is embarking on their first journey through Data Science. It provides a strong foundation to fully understand what is Data Science, its components and significant use across all industries.

As someone looking to change careers, I felt this was a great introduction for me to better understand data science as an industry and profession. It solidified my interest to continue to pursue this path as I discovered that many of my strengths which have made me successful thus far can apply to this field as well once I develop the technical knowledge.

Two words; clear and concise. I cannot emphasize how the clarity and straightforwardness of the provided materials are the highlight of my review. Introducing Data Science in plain English? I’m all ears! I am excited to continue the remaining courses in the Data Science Professional Certificate. Thank you to all that helped produce this outstanding course.

I am extremely elated for finished this course successfully and I thank the National Information Technology Development Agency, NITDA for invited me to be part of the students that would learn, expand and acquire knowledge. And I will also like to thank the Coursera and IBM for granted me opportunity to study and also award me with remarkable Certificate.

This course has increased the knowledge with very basics and real examples from different industries who they are applying the Data tools to improve the services.

It has also made huge impact on how important the Data is no matter how old and huge the data is. The right tools/programs should be used to analyze the data in structured way.

Highly recommended.

Really liked it. It was meaningful information that gave a holistic image of the field. The quizzes helped focus on retaining information. For the final open question assessment, it would be good to have a suggested length of response. I feel bad for the people who would have to read through my essay about who is a data scientist and what is data science.

Hasta ahora, el curso ha sido excepcional, ofreciendo una comprensión profunda y clara de los conceptos clave. La calidad de los materiales y la estructura del contenido facilitan el aprendizaje efectivo. La interacción y el soporte proporcionados enriquecen la experiencia. Le doy 5 estrellas por su excelencia en enseñanza y recursos. ¡Excelente trabajo!

Loves the introductory course. Gave insights on what is data science and what does a data scientist do. Also talked about the various fields where data science can be applied and gave use cases for the same. Explained about the data science process and how a data scientist uses tools to narrate a story to the relevant stakelholders to help deliver value.

My only complaint is that I had to repeat some of the information when time passed by in that I wasn't progressing in the course for over a month. I redid some of the material to be able to continue. I reached out about it because it seemed like my prior work history was lost, for example, tests. Otherwise, the course material was a good introductory.

Actually my university take every student to industry for industrial visit. There every industrial expert will share there experiences and also guide us how to do and solve problems.

In the same way, In this course I felt like interacting with Industrial experts and I learned so much basics in this coarse.

This course must deserve 5 STAR Rating.

Thank You!

The greatest things were - simplicity, the interview formats and in particular Prof White and Prof Murtuza. The animation and slides for this course were great.

There was just sufficient repitition in the course as well to ensure appropriate learning takes place.

Thanks to the whole team that put this course together for novices exploring DS as a topic.

Excelente curso, me ha permitido entusiasmarme bastante con lograr esta certificación y conocer la infinidad de aplicaciones de las ciencias de datos en cualquier profesión, particularmente en mi trabajo como Auditor Corporativo de una multinacional. Creo que me abrirá nuevas puertas estas habilidades de este curso y las que adquiriré en los próximos.

The ‘What is Data Science?’ course was a great introduction to the field. I learned a lot about how data science is used to solve real-world problems and how it can be applied in different industries. The course was well-structured and easy to follow, and I would definitely recommend it to anyone who is interested in learning more about data science.

This course is exactly what I expected or even more. I liked the structure and content. I finished this course in four days because it's interesting and exciting. Now I have a clear picture of what is Data Science and what Data Scientists do. It's the first course of my IBM Data Science Certificate, and I'm happy to begin the next one right today.

As an absolute beginner, it was a great experience going through the videos and content. It did address many of the questions I myself had. It may be too basic for someone who knows some data science, but as for me, I really enjoyed it. It's an introductory course after all, it does set the context well in a way that is easy for a layman to follow.

This course has introduced me to the world of data science. It has shown me a realm where data is akin to gold - valuable and precious. To unlock its true potential, data must be processed with care, just like refining gold. I thoroughly loved this course and I extend my heartfelt thanks to IBM and Coursera for offering such a learning experience.

A good introduction to Data Science that highly focuses on the insights of experience professionals and some from academia with their holistic view of the topic by encompassing it on their nature of work they are currently inclined to.

Also, the several concepts and methods of Data Science mentioned on this introductory course is beginner friendly.

I have learnt and gathered a lot of information about data science, big data and interested in machine learning. This course has piqued my interest and put me on the verge to study more and get exclusive knowledge on everything DATA SCIENCE. My love for this course has grew and I'm ready for career shift into Data Science & Business Analytics.

The course is designed in such a way that it lifts you up from 0 to 100, I recently turned to the data science field but had no clue about what it actually is, but thanks to this course by IBM and Coursera that I can say my journey for data science has started with a pretty strong grip on my basics. Once again thanks Coursera and thanks to IBM.

Before learning the tools (Python, R, Hadoop, SQL, etc...), machine learning models, data visualization techniques and more, it is important to see the big picture of data science. This course gives you that needed introduction to data science. It may skip it, however, if you want to dive directly to the fun part of actually doing data science.

I thought I knew what data scientist or data science means. However, after learning from this course, I have a whole new definition of these two terms. I'm glad I was able to learn something new even though most of materials are videos and articles. I look forward to start doing some hands-on learning in the other three quarters of the course!