It is a great opportunity for all data analyst enthusiast to start their journey. The content of this course is excellent. But some beginning modules lack of interaction. They are like boring university classes. Try to make them interactive. More industry experts' opinion need to include. Try to record some live screen record videos instead of traditional slides. But overall, I am satisfied. Thank you IBM, thank you Coursera.

A lot of new and relevant information, interesting learnings. However I feel like a lot of things are said twice or thrice, just in a different way. This course could have been a big shorter if some of the facts weren't mentioned several times.

Overall, I recommend the course to people starting with data analytics but afterwards you will definitely need more courses to dive deeper into the topic.

Overall insightful and I learned new things. The course got better as the weeks progressed and we got into the details.

Why not 5 stars? In the first few weeks, there are few questions about what was said by a certain person in a certain video which felt slightly trivial. The transcribing effect on the slides is also a little distracting I'd rather just see the point in full as it comes up.

Pretty great introduction to the field and what is done. The endless listing of specific programs is not particularly helpful, feels like a plug for those companies. This course is very contents based, rather than specific skills, though I did really enjoy applying the learning in the final project! Great course to dip into to see if this is the right career for you. Cheers.

Knowledge is great, but most of video is simply speak what words on slides... so robotic.

And the final peer-evaluate assignment is not a great choice.

For instance, the last question, my answer is descriptive and diagnostic, beacuse there is a line plot to provide visual that we can detect anomaly, but get 0 point, because the reviewer said the answer is descriptive...

A very interesting course. It covers the basics of Data Analytics. I was expecting more material about Data Visualization, but they just dedicated a small section to explain to fundamentals of Data Visualization. Nonetheless, if you are looking forward to a career in Data Analytics, I would suggest you start with this brief but complete introduction to Data Analytics.

A great course for data analytic beginner. If you have background in statistical analysis or IT this course helps to recall your basic knowledge with some add on. I recommend this course for beginner with no computer science background as it is easy to understand and you can excel in this course. However, I hope IBM and Coursera can provide ppt slide for this course.

excellent introductory course for data analysis. I really like the videos of people working in the field so that I could see how they use data analytics in their roles. I am hoping the future data analytic courses in the IBM Data Analyst Certificate involve more hands on learning. The final project was peer reviewed and my peer left no feedback which was a bummer.

The course covers main concepts in the data analysis field, such as: types of data analysis, data repositories, and the different tools and languages data analysts use daily.

For me, the videos were challenging to watch because the narrator's voice is too robotic, but I did my best to stay focused because the material itself is quite comprehensive and easy to grasp.

I expected more from this IBM Data Analytics course as it only gives the names of many tools but no practice is given or shown. This course should also serve the basic practice of any of the data analytics tool or any 1-3 any known case studies. Rest, the Introduction to Data Analytics theory is very precise and nice to have for newbies and to post on Linkedin.

The course was great. I do think the first question of the final assignment could use a little clarity. I wasn't aware that it was looking for an answer specific to the chart until after I submitted it. From the peer reviews I did, I'm not the only one who had this misconception. I do feel that I learned a great deal and would highly recommend this course!

This course is actually really good. the ibm team has revised and packaged the material from course 1 to 3 in the Data Science Cert into a single course. It is structured much better than the other three courses and the content is more up to date. The content is also better explained compared to courses in Data Science Cert, which was really bad.

It was a very interesting course. I did know anything about Data Analytics before to start this course. I strongly think that the knowledge shared by IMB was very accurate and clear! So I learned a lot and now I have a better understand of whole the process of Data Analytics. I'm very happy to have completed this first part of the course!

a lot of knowledge gained int this course however i think its too much info for introduction and the detail is a bit excessive. Moreover, material are too wordy thus causes confusion. I don't think peer to peer review is fair and there's no way of asking for a support from the syllabus team as in other courses. I hope this can be improved

FANTASTIC COURSE!! I learned so much and the layout is perfect! I really am excited to learn more! The only problem I had was with the final peer graded assignments. My peer falsely graded my assignment and it effected my final assignment grade by 30%. I also cannot report the issue or challenge it. If I could then this would be 5 stars!

It was an amazing brain storming course for beginners who are interested to pursue their career in data analytics and gives a brief overview of what we have to learn and enhance our skills in to become a better data analyst and it also gives us the various insights to different analytical jobs and entry opportunities

Great course to understand what data analytics is about, what it is used for, and steps to become a data analyst. The videos with closed captions were great and the quizzes were pretty challenging, I earned my 90%. I recommend it to those that might be interested in this field because it will be around for a while.

Overall it was good. I wish that it went more in depth with some stuff but being that it is just an introduction it was ok. Also, I don't know why the course material is broken up in to Week 1, Week 2, etc instead of Module 1, Module 2, and so on. I completed the course in 4 days at only a couple of hours each day.

As the course states this is an introduction to data analytics. It goes over what types of data analytics there are, what tools are used, and more general information regarding data analytics. It also has data analysts share with you their experience and advice for people starting a career in data analytics.

Surely, a good course that takes you from the very basics. One thing that bothered me a little was the overuse of the word analysis lot (I know it is an analytics course! but still) and a lot of names of the software with relatively less briefing on them. Hope they have clarified it in the upcoming courses

Good Course for a beginner but i expected it to have more readings and additional info about the tools explained, also I'm not a fan of the way of teaching on the screen, I guess face-to-face explanations would be more engaging and productive, but besides that the content is quite good and well explained

The translator used perfect English. The course is easy to understand especially for a beginner like myself. It is a great way to explore your interest in data analyst. By the time you are through with this course you will be certain wether you want to choose a career in data analytics or something else.

It is a good start, but a little bit too general. There are a lot of terms I have to google to understand how it looks - I wish it won't be just pictures but actual examples of some topics we were told about. (not just on words)

I really like the final practical assessment. Wish it has more on each topic

Well written and presented, every topic flowed into the next with small reviews of previous lessons. Gave a great understanding of the field and all its aspects. However I did find it very info heavy. Felt like a information dump on my brain. Endless notes were taken but in the end it is all useful.

it is good course and please don't skip it thinking that it is all theoretical and boring but believe me it will surely help you understand different terminologies that are used in the language of a Data Analyst, and also various tools/platforms that are currently playing their role in market.