This professor does an exceptional job of breaking down complex concepts and calculations without diluting the material. The statistical examples are highly relevant and interesting.

Good intro to statistical foundations. Would be great if all questions that involve Excel were in one Excel file

Good basic statistics course, knowledge can be easily applied right from the start

This is truly a great course. Anyone in a business program or a working professional will be very thankful that they took statistics with Professor TAghaboni-Dutta. She is a remarkable teacher and consistently ranks as one of Illinois' best Professors. The two class sessions break down statistics into easy-to-understand lessons. Professor Taghaboni-Dutta incorporates contemporary interesting problems and issues into her lessons, which make statistics much more interesting!. Another feature of this class, which I considered a wonderful value, are her extra instructional videos showing how to use Excel to solve statistics problems. These videos are better than anything else I've found. I'm serious, even MSFT doesn't have instructional videos that are as good and easy to understand as the ones in this class. If they were posted on You-Tube, she'd probably get sponsors quickly.

I don't mean to sound like a cheerleader, but I know what it is like to take Statistics from a bad teacher. I took Statistics a long time ago, before Excel existed. I remember trying to understand a professor who spent all of her time writing out proofs and never answering questions. It was one of the most frustrating depressing classes of my undergraduate experience. Professor Taghaboni-Dutta's classes are enjoyable and educational. She is highly accommodating and yet thorough. Heck, I'm even considering taking more classes in statistics. and probability. Bottom line, this class is a total home-run and a significant value for the money!

Worst Coursera course I've taken. Videos were too long, and repetitive. Assessments strayed from topics covered, and relied more on petty test taking tricks than actually assessing information learned. For example, questions that test your grammar skills more than your knowledge of statistics.

This course is a joke. As a former business analyst turned data scientist, I found numerous basic conceptual errors in its one and only peer review project. It does not cover much depth or breadth of topic either. Much of quiz work is repetitive motions of downloading a file and finding averages, medians, stdev etc. Data is the new oil and I expected a more thorough overview from this course.

Teaches some good applications of statistics with plenty of real world examples, and hands on experience with Excel.

However, be aware that this class heavily depends on Microsoft Excel, so in order follow this class exactly, you will need a copy of Microsoft Excel and a computer and operating system that can run it. You can mostly get by with alternatives but you will be on your own to figure out how to apply the concepts in this class to LibreOffice or other statistical software.

Great foundational learning on statistics and how to apply for real life data analysis. Especially with understanding how to use Excel to facilitate the formulas and graphical representations. Appreciate having a consumable set of coursework that helped me learn and achieve completion (this does a lot for your confidence level at my age :)) I plan to continue on my Data Analyst learning path and appreciate that this course gave me a good start.

Good intuitive overview of statistic concepts through Excel. Not a mathematically rigorous introduction through probability, then statistics. It's a pretty intuitive course for managers that don't have a strong math background.

Very useful for beginners as well as anyone interested in learning some basics. Highly recommended for managers and people trying to figure out what insights can be obtained form data

The videos were excellent and the explanations of the concepts and how to do everything in excel were very clear. I think the wording in the peer graded assignment should be changed, however, as it is not immediately clear how the studies referenced designed their samples. It is possible to take a stratified sample or to take a simple random sample and conduct post sampling stratification for display purposes. It was not clear based on description where the stratification actually occurred, and this has implications for analysis. Stratified samples usually need weighting to be analyzed appropriately, whereas weighting is not necessary if stratification is done after sampling for reporting purposes.

While I am yet to take BADM 572 as part of the iMBA, I decided to take this course because I immediately need to upskill for Data Science and Analytics related projects. I know that Data science is an intersection of Computer Science, Mathematics/Statistics, and Business/Organizational Knowledge. This course is beneficial as a refresher of statistical concepts and their applications. Professor Fataneh thoroughly explained each concept and its implications for solving real-world problems. I can tell that she wants to ensure all her students understand statistics and its importance in the real world. I am looking forward to taking BADM 572 as I take my classes this coming Fall 2022!

The main highlight of this course is the way the instructor had explained each and every details during the course, in both her lecture with formulas and the excel stimulation of the same concept. This make the implementation of such concept very easy in real life scenarios. The examples used in this course are also helping to understand the concepts as they are similar to real time scenarios where we can apply this statistic.

Great foundation learning statistic & how to apply it in data analysis

The last time I learned statistics was 8 years ago in my 3rd semester in my undergrad study. It was very hard to understand. Now, as I am some years of work experience, I feel that this subject is vital in work and in life. So I took enrolled the class. Is it still hard? Yes of course! but, the professor explain all the concepts very clearly, thus I am very motivated to finished the course. Recommended!

Very well taught and explained. One of the best statistics courses I have taken. As a non math student I have tried many books to understand statistics, but they were all intimidating. This course and the follow-up course on Inferential was my Holy Grail to learning and understanding Statistics. Hats off to the Prof. FATANEH TAGHABONI-DUTTA for the wonderful course and the way she helped approached it.

For a novice in Statistics such as me - This course has done wonders in adequately aiding me in understanding the basics as well as prepared me to delve deeper into the subject! The professor in this course has done a fantastic job of simplifying otherwise complex ideas . I would strongly urge those who'd like to foray into exploring and producing data and making sense of data to take this course.

Great teacher, very clear in her videos and Excel tutorials

A résumé of the formula and main calculations might be useful to use this knowledge afterwards; I don't know if she provides one somewhere (?)

I was just deceived by the first 2 weeks as I had experience in statistics, it was too easy; so I would recommend the course's summary to be more clear

Exploring and Producing Data For Business Decision Making provides a concise and thorough approach to understanding, interpreting and making inferences from the data you have access to. Thoroughly recommend it to anyone considering to broaden their knowledge into the world of statistics from a business application.

Great course on data analysis using statistics. The suggested methodologies in course could be effectively used to analyze financial data, weather data, population data etc., Highly suggested course for Business analysts, Entrepreneurs and anyone who needs to make decision on complex data sets.

Thank you so much Coursera for providing this opportunity to me, to get the lecture from a brilliant instructor "Fataneh Taghaboni-Dutt" Thank you so much ma'am, It is my first Coursera Accomplishment and I am really looking forward for more such courses which are based on Data Analysis.