If your using a Mac, like many do... you will be frustrated, the amount of work around is significant. Not worth the trouble.

A very good end to the specialization. Got a chance to get my hands dirty with some real world datasets. Requires plenty of effort for the 3rd and 4th week assignments where a lot of time will be spend on just cleaning the data and getting it ready to model it. And TBH this is how it is in the real world too.

Even though i work in the industry as a data scientist, this specialization was still able to provide a lot of additional valuable knowledge. Great stuff!

Had a good opportunity to practice regression, hypothesis testing and confidence intervals. Now whenever I read any research paper, it feels good to be able to interpret all the models

It's the capstone of the specialization where you apply all what you've learnt in the previous courses. I really liked the whole specialization. Thanks

Very strange that assignments are reviewed by other students. So if you are the only one who study there now, you will not complete the course and you should wait until another students will appear.

The course has really helped in developing a niche in the Excel which is essential for every engineers and professionals. Excel has been a widely used tools and almost all the organisation have got this platform to carry out their day to day business. Moreover, the examples and the problems described in the lectures were real life examples in a business setting. These has been quite helpful in understanding business problems and constraints.

it's one of the amazing courses I have been taking in Coursera so far with an amazing course instructor. there so many practical insights that can be achieved throughout this whole specialization.

Instructions for tests weren't clear, they did not specify if particular filters for several questions need to be kept or undo.

Absolutely no help available throughout this- nobody (especially not the professor/TAs) responds on the message board.

By far the best course I have completed! The specialisation is very well designed and instrucutor has delivered in the best way possible. Easy to understand concepts and applications, challenging and engaging quizes made the journey fun and rewarding experience. Capstone is an icing on the cake which made me to put all the knowledge gained through other 4 courses into practice. Well done team!

The Capstone project gets ready to think in real-world scenarios and how you have to think and approach the data that you have to process it then transform it into the desired results. I was a bit nervous at the beginning but then I could get confident and could do all the assignments thanks to Capstone that help me think as a real Data Analyst that I feel I am from now on.

This course was a breakthrough for me. It gave a whole new perspective to look at data science.

It is organized very well. Course materials and assignments are very well thought, I learned so many things from assignments and specifically the capstone.

many thanks to Sharad and his team, I wish all the bests for you.

this course was very challenging for me personally, but I am very happy now that I have completed it with a higher grade. thank you very much.

Great course to start learning business analysis using statistical inferences with Excel. Real actual business problems and solutions.

Very useful course for someone interested in the fundamentals of business predictions and regression models.

A very good course and delivered by experts

Amazing course! Very useful

While I loved the opportunity to do some real-world application, the introduction of a new concept (MAD) in the final project was a little shocking. I wish we'd covered that previously, or in more detail, as while I was able to do the requested tasks, I don't feel that I really "get" that concept. Generally speaking, though, the capstone was an EXCELLENT way to close out the specialization--I was surprised to see how well I did actually understand and was able to apply my learnings! Thanks for a great course experience!

The course is great and I did like the capstone we had to work on, but I despise the peer grading, you have some fellow students that are lazy and don't even review your work properly. Otherwise, it's a great course and will advise anyone to take it.

Great course. Gives the student the challenge to create their own analysis and write their own report. I also felt that grading peers was a useful learning tool.

Processing data can be very slow via Excel.

Not nearly as informative or straightforward as the previous 4 courses in the series.

Outstanding project course and specialization! I am very happy about the technical methods, statistical literacy, and business / mathematical modeling quality. I have more confidence now in actual business analytics models analyzing the conceptual parameters that are used in statistical decision-making. The capstone project of week 3 and week 4 culminate a deep knowledge of all courses of this specialization, giving necessary job skills in Machine Learning, EDA, and Economic / Business Modeling. I think people with a good background in Mathematics and Statistics will gain solid analytical thinking in concrete business applications.

The Capstone was very interesting and challenging. It helped reinforce the concepts that we learned in the other courses within the Business Statistics and Analysis specialisation. I had great fun doing the various exercises, I have gained a better insight into statistics as a result of the 5 course specialization. The specialization is well designed and Professor Sharad Borle has been a great guide and instructor throughout this specialization.

I am very much thankful to Dr. Sharad Borle Sir. Whatever i learned in these five courses is because of the way he explained the basics of excel and its use in business analysis. It is my sincere appeal to all the learners who are about to join these courses, please go through all his videos thoroughly. I am very much happy to be part of this learning. Thanks to Coursera for providing this platform for learning.