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.

Everything about the course (instructor, contents, quizzes and assignments) was very fine except for the last course assignment (the Peer-Graded assignment), which I had to wait for more than 8 days to have it graded. I was very unhappy about that long wait. A minor issue was that of the two peer reviewers/graders gave me unfair grading on one of the questions.

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.

I really liked this course. I realized that even if you know many things about R there is always some new (basic) practical things, that slipped from your knowledge. I suggest this course to people who want to establish good foundations in Basic R.

It was a new experince and a new feild for me, the facilitators was amazing, his approach to each topic was topnorch and i really enjoyed myself, the materials were simple to follpw . the fact that it is self paced made it better

Excellent challenging course. Tough to crack assignments and assessments without hands-on knowledge.

I was pleased to expand my limited knowledge in R. I now feel more confident in R.

The lectures are good, but the peer review process is horrible. The actual assignment is ok, but the reviewing part is a joke. There are a ton of "please review my submission" posts. When I try to review submissions myself I am directed to a project that isn't even the same. The feedback stops at the lectures. There is occasional help from fellow learners but nothing from staff. I was looking forward to completing this whole specialization but given the lack of support to even be able get us the correct info on assignments or help, I can't recommend continuing.

I found the class focused only on coding. Assignment were different than notes and support from the teacher and TAs was limited.

Very poor content overall - highly encourage you to look elsewhere, like DataCamp, over using this

Hard to follow and was missing connection between lectures and assignments.

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