So informative and well-presented. It's almost like this program was done by people who have extensive skills in conveying knowledge in an easy-to-understand format. I loved this course!

not much Interactive, I felt sleep many times during the course.

Great course to gain an overview of the Data professional domain and various opportunities in it. Starts from the very basic of what the role of a Data Analyst is and goes in reasonable depths of the various roles and responsibilities of being a Data Analyst.

Concepts have been wonderfully presented with examples on every topic and viewpoints by Industry experts and professionals are included at the end of every concept to give better insights on its relevance and importance.

The class gave me a great overview of the foundations that data analysis is built upon - I learned about the process of working with data from source identification through visualization/reporting, the various tools and methods that can be used through the process and also the different possibilities and roles in data analysts. I feel that I have a very good footing from this course to move forward into learning the competencies needed to become a data analyst.

This course offers, the most conspicuous methodology of study guidelines, and lectures for anyone who aspires to pursue a career in Data Analytics ,and has no technical background.

The formats and learning material are laid out and explained in easy, and comprehensive terms, that convey the core effective directives of what Data Analytics entails, in conformity and detail.

Therefore without further ado I give it 5/5 stars.

I am kind of disappointed with the content of this course. Most people who join coursera are looking for courses to improve their skills and knowledge, so they can be more competitive in the market. This course Is mostly just listing different kind of data analytics softwares and the functions of them, instead of teaching any specific software. We are here to learn the functions of the software, how to use the it in solving problems, not just names of these softwares. Another big part of this course is about Data Analytics professionals talking about how great is the career as Data Analytics...well, we already know. That's why we are here to learn. So just teach us the skills and pratical knowledge. Overall, I am disappointed. And I am amazed how many of others rate this course 4.8 / 5.0. Going forward, I don't take this rating seriously.

The course is not bad but i would give it three stars as far as rating it is concerned.

Me as a student would like to suggest or rather give a kind request to our tutors to make the course a bit more practical rather than theoretical. i realized there has been a lot of theory in it, my major ambition was to get a hands on experience in analyzing data using excel spread sheets and get a better understanding of how data can be presented. But i still thank you for this opportunity never the less.

Only theorotical information is given, in this course you will be able to cover up the main idea of data analyst, what is work like and basic definations related work also you will be interact with industrial experts also....

This course come with full package of knowledge which is very necessary for every data analyst to learn. In this course every basic details and wide concept are provided in such a way that anyone can learn easily. I am delighted to complete this course a big thanks to IBM expert team who created this course and some expert those give their view in the course to make me understand what a data analyst. Finally a big thanks to coursera for the opportunity.

Might seem as a beginner/novice course, but even for people already doing some sort of data analysis in specific domains, the course gives a good overview of all the bricks, tools and concepts making the Data Analytics field. Even seasoned analyst will find the refreshment (or learning) useful to get a clearer and more concise picture of where they stand, where they want to go and how.

This course has been thought very cleverly and in a very orderly manner. The professional Data Analysts perspective shown in the course was very helpful in understanding the insights of the modern industries and requirements of the Data Analyst. I would strongly recommend this course to the beginners in the field of Data Analytics, that its a good way to step in to Data Analytics.

I would 101% recommend this course to anyone trying to get into the world of Data Analytics or any data profession for that matter. If you're like me who's trying to jumpstart a career in this field, then diving into this course should be a no-brainer. All the content you'll find in this course will definitely help you build a strong foundation in jumping to a data-driven role.

A great job is done in providing professional background and knowledge on Data Analytics!! Learned more on tools, and gained new insights on analytics from IBM staff. Thank you for a great course!

I know it's an introductory course but I think it's better to have a lot more real-world case study to keep it more engaging. Otherwise it's very good course.

Very good for people who have no background on Data analysis. Very clear and rich in information before diving in depth!

The info in the course is vey valuable with insights from people working in the field, which makes everything relevant. But sometimes the videos can be filled with so much information, a little bit more that needed to keep full focus.

One point I personally didn't like is in some quizzes asking about what certain people said in a certain video, which I found not very relevant as I think we should be tested for the skills or concept we are supposed to learn and not for who said what.

I wish there were more examples. Sometimes it's just all talk. I think that images would help to memorize and have a better understanding of the subject. This is about visualization :) Especially when it comes to Python, R, SQl, a video or a screenshot of the interface would really help. Also, I've found syntax could have been better or just more simple sometimes, but English is not my native language so it might be just my point of view

This course is very dense in the first four weeks. Many of the videos I had to pause every 30 seconds to finish taking my notes on one slide/topic, and then the week 5 was just kind of a fluff week. This course does cover a lot of ground in a short course, and is a really good overview for what you will need to learn next (names of software to learn, different tools that you need to know how to use, etc).

it is high quality course, everything is meaningful, but most of the times I was overwhelmed by so many new information which I didn't know anything about them before, and just saying these all information very fast and for me it was almost impossible to memorize all. but after one time the second time when you review it made more sense

Cannot find an instructor when your peer-reviewed submission is graded incorrectly

The Quiz - When answering a question incorrectly and viewing feed back, the feed back is simply, no that is not the correct answer, Well no, really..... wow. That's not really feed back. the feed back on an answer cant be that the answer was incorrect, the feedback does not need to be the correct answer, but when some or all of the answers seem similar, the feed back should be more directional and the incorrect answer should be explained on where that answer would be correct

Example - (paraphrasing) What are you seeking answers to at the first step in the data analysis process, A, the best tools, B, where you are and where you need to be, C, what will be measured, D, what data you need.

all of these answers sound similar and in a real life situation, I would never say the first step is to know where I am and where I need to be. I do data Analysis for a living and all these answers except the correct one, to me, is the fist step. and the correct answer sound more like a meditation chant used to find your self.

I will try to continue this course but I am very disappointed with the feedback, and the perception of similar or best fix to, answers

This course has very little value. The delivery of information is linear and flat--meaning there is no interaction required from the student, no questions, no analysis. The videos just dump information, they "tell" instead of "show." Furthermore, the quizzes only require memorization of junk information, and the course cannot be completed because there aren't enough students enrolled to grade a peer assignment. I want my money back.

Course is extremely poorly designed. Examples videos are in one software (paid excel for desktop) and you are expected to complete assignments in a different software (free excel for web) which has a different layout and limited features. Makes it very difficult to follow along with and you end up wasting a bunch of time searching for things.

This course was not at all what I was expecting. It was purely informational, think like "these are the tools you'll use" and "this is what the job it like" without any actual training or really substantive content. Really, I feel like this was a waste of time.

I felt that this course was hard and majority of the codes I tried to run in Jupiter lab wouldn't run and I didn't have anyone to ask how to fix the issue so I couldn't make the most out of this course.