Oct 31, 2015
The course deserves a 5-star rating because: (1) content is relevant, (2) the professor is concise and possesses great teaching skills, and (3) the learning modules are applicable to daily problems.
Dec 20, 2016
Overall, the course material is good with many example. Need a general knowledge with mathematical and statistical from the beginning to pass the exam, because course slide is a little bit fast.
von Jody P•
Nov 08, 2016
Though at the start of the program indicates no prerequisite I would suggest that you be familiar with Algebra and Stats. Most videos are of Dr. Egger writing out algebraic equations and discussing them, the excel component of Mastering data in excel come via pre-made calculators as attachments that you for the most part need to figure out on your own.
If you do not have a good comfort level with stats then you will require more time to spend on understanding the spreadsheet and it’s use.
It would be fantastic if Dr Egger could go through the spreadsheets as a part of the video and show a couple examples, hopefully revisions down the road !
It was challenging but not impossible, and if you do not challenge yourself how much are you really learning?
Best of luck!
von Xu Z•
Nov 27, 2017
Professor Egger is pretty good at explaining concepts and make the class interesting. However, even to someone with solid statistical and math background, the class seems to have a steep learning curve. Concepts and projects can be discussed in more in-depth manner. Many classmates seem to be confused during middle of class. Be prepared to study up and research a lot using google search.
On the other side, I thought that it's an Basic Excel class before staring. Apparently I'm wrong. I picked up a lot of learning on data analytics side and how to use excel to accomplish the analytical goals. This class would be useful to anyone wants to get the exposure.
von Sarah L•
Aug 19, 2019
This course was much to focused on math proofs of statistical reasoning and left the actual instruction in Excel and how to use those formulas for mere supplemental material. The organization of the course left me in tears as I was struggling to understand the math and only THEN was I shown the application of that math to something useful. This is backwards. It needs to focus on the use of excel, not handwritten math formulas and proofs, and teach us the things we actually need to learn for the exam (how to compare 2 models, etc) instead of leaving us googling for the most pertinant information while the professor drones on about greek letters.
von Derek O•
Oct 25, 2017
While I found this course useful, it was originally advertised with the Data Analytics Specialization from Duke University, and it says that you need no previous knowledge to complete the specialization. I found this course VERY challenging and I think it is because of my limited experience in the fields of statistics and calculus. There were many times when vocabulary, formulas, calculations, etc. are mentioned quickly and I felt a little left behind. With some background in business statistics I think this class would be much more effective.
von Markus S•
Nov 20, 2015
Really interesting course and material and a very good instructor. This would be a 5 stars course if it wasn't for the final project. During lessons some concepts of statistics were taken as known (which is okay). However the final project required to utilize a combination of all new learned material on a whole different level of difficulty compared to the preceding quizzes. I did not expect that jump in difficulty and enjoyed the course a lot but the final project just was a struggle.
von Stefano J N•
Apr 29, 2016
The Course is fine, explanations and videos are a bit hard to follow at times.
The final assessment is in my opinion very bad, as it i appears to me quite unrelated to the course it self. The lectures are quite abstract and the exam is a practical application of the concept.
The instructions of the course also aren't very good as you need to do each part of the final project at the end of each week.
I would strongly suggest to not take this course unless you have many spare hours.
von Kristin K•
Feb 27, 2018
The course covers some good topics, but it is not introductory due to the requirement that you have prior knowledge of statistics. I found the lectures got progressively more confusing with few examples of how to apply the knowledge. If you take the time to figure out what is actually being asked and how to do it in the spreadsheets provided you can learn something, but the amount of time wasted hunting for the correct approach to their spreadsheets can be quite frustrating.
von Dhananjay P•
Mar 15, 2016
The class has great concept but it needs a bit more structure and change to hit its full potential.
The Good:-The spreadsheets and exercises along with Quiz material. The project was also very informative.
The Bad:- The video need to better explain how Area Under Curve and how the Credit model make sense. It was not very intuitive and I struggled for over 2 weeks to put the Project together due to this gap.
But a worthwhile class with great potential. I am glad I took it.
von Mohit M•
Jan 04, 2016
Course contents are rather deep which is good and makes it challenging. Explanations could be better and there should be more content on some topics for better understanding. Someone with background in statistics would find this course more useful than on who only has basic knowledge of statistics. Nevertheless, it inspired me to learn from other sources to fill the gaps in my understanding.
von Grant V•
Apr 05, 2017
Leve of difficulty was above my expectations. Moved too fast. Could have been more thorough in applying the content to examples similar to the quiz. Seemed to stick to the bare minimum of what would be required before moving to the quiz. Be transparent with future prospective students that this course absolutely requires knowledge of calculus, probability, and statistics.
von Thao V•
Nov 16, 2015
The course has some valuable information, however course materials and videos are not so helpful. If you already have some knowledge about statistics and excel, it will be a lot easier to follow the instructor's lectures, otherwise I don't feel how a beginner could really follow up on this course. Some topics are run through so quickly that they are confusing to students.
von Ambreen H•
Mar 23, 2016
This quickly became a statistics course, which although important was really difficult for me as I went in not expecting it.
However, Dr. Egger is incredible! I think he's a fantastic and well-versed instructor in the Data & Analytics realm and am eager to find ways I can use what I've learned into practice at work.
von Marta M•
Feb 02, 2016
I would like to have more example, it feels there is mostly theory. The quizzes were super easy, I dropped out at final project, I couldn't get through the first questions. The course (and especially the final project) requires a good basis in statistics beforehand.
The assistants are super helpful and patient.
von Christopher C•
Aug 15, 2016
The instructor should spend more time putting equations and concepts into concept, and tying them together. It often felt like values and questions were arbitrary. This is less about master data analysis in Excel, and more about gaining ground in a few key concepts, so the title is misleading as well.
von Sam H•
Aug 22, 2017
Difficult and too condensed for a beginners course. Although I appreciate that some of the worksheets were put together for us, I can't understand the underlying concept as well as if I were the one putting everything together. Logistically, it's not appropriate for a class this short.
von Nicholas J S•
Nov 29, 2019
I definitely learned a lot from this course, however, the teaching was very poor. The teacher is very hard to understand and much of my learnings I was forced to find elsewhere. Questions in the quizzes are not in coherence with the classes and one is often left very confused.
von Malcolm N•
Sep 20, 2016
nice syllabus overall with great exercises.
wish it would teach more commonly used excel skills in business e.g. pivot tables, index-match, vlookup etc.
lectures were a bit hard to follow (esp the mathy ones) - i'd suggest reworking the blackboard craft
von Ali H A•
Feb 14, 2016
This course did not live up to its potential.
The course should be retitled as an "Intro to Statistics" not learning functions and visualizations on excel.
I still have three stars because I at least picked up some useful concepts from it.
von Cynthia N•
Feb 07, 2016
Great class, however I felt it was very heavy on statistics and math concepts versus how to use Excel for data analysis. I would've liked to see some strategies on how to analyze large datasets, look for trends, and clean up bad data.
von Lieselot D•
Jul 17, 2018
The course was challenging and I learnt a lot. Some more practical exercises would have been helpful for me. Now everything came together in the peer graded assignment, where I missed some professional feedback to learn from.
von Nguyễn T B L•
Mar 11, 2016
The attendants might already have a good foundation of econometric and probability statistics before taking this course. Some definitions might be difficult to understand especially how it would be applied in real life.
von Hazel H•
Dec 29, 2017
so many materials need to read, feel loss patience. but in general, the course is useful. hope can reduce part of the material, no one can stand after 5 or 10 min's video, another 5 or 10 mins reading come along with.
von Yuting W•
Aug 05, 2018
The tool and the video don't relate very tight.The tool costs me a lot of time.By the way ,for the Quiz 4, I totally can't get the results for the quiz.I found someone in the discussion met the same problem.
von Skyler M•
Aug 04, 2016
This course is very challenging. I may not have had the proper background in mathematics to full absorb the material. Similarly I may have to busy of a lifestyle to have properly focused on this class.
von John E P•
Aug 09, 2018
This course was very informative, but in my opinion it has a very steep learning curve. The course takes some very steep jumps from basic concepts to building binary models with out a lot or guidance.