This course should disclaim that previous background in coding is strongly recommended. This 4 week course was very difficult to follow - not so much the content but the structure. There were a number of instances where the Professor didn't clearly disclose that he loaded a particular package or read in a certain file. This causes us to spend hours trying to understand.

I did not take other courses of this specialization so this review show my viewpoint regarding THIS course.

I think for people like me who are not familiar with coding, this course is the best way to start studying R in Coursera. Then they can go over other R courses available.

Also, the lecturer, Professor Guymon, tried a lot to sketch a road map from the beginning by introducing the FACT framework, which I think helped me a lot not to get stuck in the plethora of detached materials through this course.

The other unique feature I came accross was other types of files which are possible to save or run in R-Studio such as Markdown and Notebook. Because part of the peer-reviewed task asks students to work in those data types, it can help novice students like me to work with those data types.

Altogether, this course is a very good shot for the R beginners.

first part was easy to follow and last 2 week courses were too much focused on getting code drilled and not enough on what the code could be used for in real life.

This class was great, you get to learn the basics of R, I have no previous experience with programming languages and I feel in a much better place, after taking this class. I highly recommend it.

Excellent course, highly recommended to take the first steps in Business Analytics. Professor Ronald makes everything easier and more comprehensive. Thank you for sharing your knowledge!

This course is well designed for newbies like me and our teachers are super dedicated.

Thanks for the wonderful introduction to data analytics using R. Module 4 needs a bit of work to make the content more relevant. It would be helpful if the module can focus on how to read those graphs rather than how to program those which can be found from the help documentation as well. Thanks!

I think the 3rd and the 4th module felt a bit rushed and did not seemed planned as well as the first two. Also, harder concepts should be broken down into multiple 1-3 minute videos rather than lengthy ones as it is rather easy to get lost in the weeds following the steps within the content.

My name is Elchin, and I am currently enrolled in the "Introduction to Business Analytics with R" course offered by the University of Illinois at Urbana-Champaign on the Coursera platform. I am writing to express my sincere gratitude for the 75% discount I have received for this course. However, I am reaching out to humbly request an additional discount to cover the remaining 25% of the course fee. As an aspiring business analyst, the skills and knowledge provided by this course are invaluable to me. Unfortunately, my current financial situation does not allow me to cover the remaining cost. I am facing significant financial challenges, and every dollar counts as I strive to enhance my education and improve my career prospects. I am committed to completing this course and applying the knowledge gained to contribute positively to my community and the field of business analytics. The financial support you provide will not only aid in my professional development but also alleviate the financial burden I am currently experiencing. I kindly request you to consider my situation and grant a full 100% discount for this course. This support would make a tremendous difference in my ability to complete the course successfully and achieve my educational and professional goals. Thank you for your understanding and consideration. I am hopeful for a positive response and look forward to continuing my learning journey with Coursera.

Great course! Concise explanations with many examples, well prepared assignments. It gives an introduction to data preprocessing and basic data analysis. I enjoyed creating R Markdown documents which I consider an elegant way to present data. The course also gives a really nice overview of and an introduction to the tidyverse packages.

Short, but very neat and comprehensive introduction to the use of R in business analytics. Also, the interviews with business practioners about the role of data in business practices are insightful. The caveat here is that this course doesn't provide enough details about the business side

exactly what i wanted; an brief introduction to business analytics and a hands-on introduction to R. the content and the presentation of the first half couldn't be better. the second half could be a bit more polished but still is very effective. recommended!

Thank you for helping me in acquiring the knowledge of the analysis using the R studio. I have really got a good understanding of how does this is been applied in an organisation.

Excellent content for someone with no background in R. The course is thoughtfully designed and well presented. I am willing to ignore a couple of minor issues I noticed.

Interesting and efficient course that makes you interested in R even more and also shows you how to use big data in daily tasks!

I find this course very useful. Great material presentation, easy to learn. I've enjoyed it very much.

Excellent, very intuitive course, a good way to start your journey with R and analytic career.

A big Thumbs up to Professor Guymon for the fantastic knowledge transfer.

good course and excelent teacher. thanks very much for the this learning.

Ich fand diesen Kurs sehr spannend und gut nachzuvollziehen gemacht

Thank you! Great learning experience and easy to follow guidance.

Its a good course to learn business analytics with R

The class was structured and taught really well !

excellent . the videos are easy to understand.

Excellent course and excellent professor!