Learner Reviews & Feedback for Introduction to Data Analysis Using Excel by Rice University

The course offers an astonishing chance to develop myself in the area of data analysis! Actually, I can learn anything i want from the world's greatest minds. This is a brand new way of learning new things. Inspired by the way of learning in foreign university!!

I am a complete novice with respect to Excel having had a medical training. The information is given in manageable and interesting segments building your knowledge incrementally and sequentially. It is a paradigm of teaching and I highly recommended the course.

It was a very intuitive course. The fact that it was very hands-on (providing us learners many opportunities to use Excel to apply what was discussed in the videos ourselves) was very helpful in picking up what was being taught quickly and effectively

The professor is excellent! Learned a lot of valuable information. The class is challenging, but very doable. I think it is more structured for you to go at your own pace. I completed it in three days as I was fortunate enough to have time to do so.

This Course is very important one and is essential for everyone who is willing to do Data analysis in Excel. It really met my expectations. Many thanks goes to Rice University, Coursera & Somaliland's Ministry of Employment Social Affairs & Family.

Great course that teaches you a lot of the basics in Excel. The instructor is very knowledgeable about the subject matter and explains the material in a clear way. I am now using much of the stuff that I learned in this course during my daily work.

Really well put together course and i love how much information is packed in small videos.The best thing about the course is the assignments can be really tricky even if they seem simple and it challenges you to think.Highly recommend this course.

It was a well crafted course, Videos & Study material was to the point. Course contents will be helpful in handling large database in very efficient manner. Instructors mastery over the subject & teaching skills are really appreciable. Thanks !!!

Many factors made me narrow down to this course.

1 Time Constraint

2 Layman Friendly

3 Problem Sets

4 Easy to Understand

Eventhough I had some experience in Excel data analysis, I learnt some extra content which I think will definitely help my career.

This course is so interesting and encouraging for those interested in starting a career in Data Analysis. The instructors, videos, tutorials, assessments and group discussion forums are exceptional. I will recommend this course any day, any time

I loved the course. It was explained in a very simplified and interesting manner. It kept me engaged and cleared my concepts. The Practice quizzes and questions were really helpful in determining my concepts and understanding of the concepts.

It was a great opportunity for me, i want to appreciate the organizers of this program "LAGOS STATE EMPLOYMENT FUND" for this wonderful privilege and also, my appreciation goes to RICE University for this course, I really enjoyed it. thanks.

One of the best courses on Data Analysis. Thank you Rice University and Sharad Borle Sir for providing such a valuable course and for great explanations. The Weekly quiz are very well designed to test your understanding of the video lessons.

Sobrepasó ampliamente mis expectativas! El curso está muy bien elaborado. Las lecciones son claras y el instructor sabe transmitir su conocimiento. Los ejemplos y ejercicios son excelentes para fijar los conocimientos nuevos. Recomendado!

This course guides you step-by-step from the basics, so it is for everyone who wants to learn Excel without minimum skills. Moreover, the video and quizzes help to review the materials. Overall, the course is amazing and timely managed.

This course was a good basic introduction to some useful tools in Excel. The most useful tool I learned was the VLOOKUP function and pivot tables. Will definitely be employable for any career requiring simple to complex data analysis.

Superb learning experience.If there is an advanced course to this would definitely love to do it .

Very good faculty support staff and very enthusiastic fellow students whose guidance and thought process gives a different perspective.

I so much enjoyed every bit of the course. Thanks to Rice University for making this course available.

If you’re new to the field of Data Analysis, I recommend you take this course to learn this basics. This course is really helpful

I found a new love! Ever since I was a child I hated Math but this course made me realize that Math is a wonderful thing and being able to read numbers and data using Excel is such a marvelous experience. Thank you for this course.

Solid introduction to Excel. If you are brand new to Excel, you will likely need to practice a bit and/or refer to other resources for additional skills. Even though I've been using Excel for years, I still learned some new things.

Good for beginners, although a bit complicated to get around all the language barriers in Excel and without using the ToolPak which doesn't seem to work for my Excel. I'd recommend having google nearby throughout the course. Good

The course is really a good course. The instructor too is good at instructing.

I enjoyed learning the course and I am sure that with what I have learned I would advanced in my career and personal development.

Thank you Coursera.

Very useful but not necessarily a course for beginners. Understanding the concepts isn't tough because they are explained very well but the exercises can be challenging for people who don't have a functional knowledge of excel.

"I've never completed a course like this before and I cannot express how great the instructor was and the overall content of the material. I would Analysis Data . I will be looking into taking more of these course. Thank you!"

The course content is very good, the questions at the end of each week are also very testing, which gives the learner confidence to test his/her own learning. The instructor's way of teaching will be clear to a layman as well.