I like and appreciate courses provided through Coursera.This course is very interesting and valuable for those whose jobs do have relevance with data management .God bless Coursera and Duke University
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.
par Robin M•
Actually a nice course but I feel completely lost with the last and final assignment. I looked through the forum, there are good hints but i still don't get it. It's frustrating that for the really hard stuff you don't have any explainatory videos from Prof. Egger so you can comprehend the material better.
I understand that one has to try to work out a solution with the methods given but a explanation of the difficult stuff afterwards would be quite helpful sometimes.
par Joseph C•
Great information, but poorly executed or explained. There was inconsistencies in the quizzes and which resources to use. Information that was not updated over the lifespan of the course. When the course was first created there were errors found with the information provided. These adjustments were implemented but not updated in the actual course so the only recourse to find out what to do or which spreadsheet to use were only found in the discussion forums.
par Donna K•
It is best to have a strong statistical background before taking this course. Lots of statistical calculations and procedures. If you don't have a strong background in statistics , there is a good chance you will get lost at some point in the course. There is no questions that the instructor of this course is an accomplished mathematician, I just found it hard to follow his lectures as he got deeper into various statistical aspects of the course.
par Donald L•
Much work needs to be done on this course to make it friendly to learners. The quizzes and assignments do not align with what is taught in the lessons. Further, the content in the lessons does not even show or explain what is expected from the learning.
I spent the majority of my time exploring the discussions to discover what I was supposed to be doing and the rest of it on Google teaching myself the concepts that were not taught in the course.
par Valerie P•
The professor jumps from subject to subject like if he assumes that people know the stuff he is teaching. Sometimes he goes on about something without telling you why he started talking about it, how it will be used, what is its relations with the whole course or at least that week's course. He even goes on to start the definition of a concept but then starts talking about an example and does not go back to the actual definition or use.
par Yoav S•
First of all, it's important to point out that this course hasn't got a lot to do with Excel. It's more about statistics.
I am somewhat disappointed with this course. A lot of the assignments and tests were unclear, and it was hard to get clarifying information that will help you proceed. I was often left confused about some of the topics. Nevertheless, I learned some techniques that will probably be prove very valuable in the future.
par Philip g•
I found this course too advanced for my level of familiarity with statistics. Its true that most basic stuff is covered to be fair, but the progression is very rapid.
As I work long hours and other commitments I didn't have enough time to dedicate to study beyond the time needed just for this course. If I had been able to study an extra 10 hours a week practicing using the formulas then I'm sure I would have got more out of it.
par Mark A•
The description of the course series does not adequately represent what is taught, more details up front about the material covered would have helped set expectations. The first course in the series focuses primarily on terminology, with little practical application. Almost all of the material was on finance & accounting.
In week 2 of this course, I realized this wasn't addressing what I expected and dropped out.
par Kevin R•
All theory. Quizzes you were left with the task of answering questions based on models never seen or explained spent most time trying to make sense of them. Final project is almost a joke to try and decipher how to create from scratch based on the ones they provided in the quizzes. Its not a joke but it is very difficult when the actual excel and model making isnt part of the lectures.
par Justin M•
So many equations presented without explaining why these things work or how they are derived. I'm having a hard time seeing the relevance. Also, I learned a lot of these statistics in college and the explanations provided in these lessons actually confused me about things I already know. Very disappointed in this course. Especially since part 1 of the specialization was so good.
par Bruno G•
I would have liked the class to be less theoretical, with more frequent explanations linking concepts to practical applications in daily / business life, in order to keep interest and motivation high and facilitate understanding and memorisation. It sure would help to enter this course with a certain background of probability. Those memories were too ancient in my case :-(
par Andrew H•
Not recommended if you're a beginner. I don't understand a single bit of the math involved in this course, it is explained little if at all. Every time I start a video I have to stop and learn from elsewhere how to learn from this course. I'm sure it's great for people that know what is going on, but if you don't understand one thing at any point you're lost for good.
par Jade C•
I wish this course was more focused on building and analyzing data in excel. It feels like it's more focused on financial measurements and probability, it hasn't related to my line of work yet (marketing analysis). I wish the course also focused on advanced excel formulas outside of probability like advanced pivot tables, arrays, and macros.
par Anthony R•
While the first week touched on Excel and the equations can be used in Excel and have efficacy in regards to analyzing data, it feels as if the course emphasizes more on utilizing math than utilizing Excel. And according to my understanding, that was what I thought I was signing up for. So, it felt like a bait-and-switch to me.
par Niyazi E D•
This Course has the wrong title, as many others mentioned prior to me. It was a lot about statistics and math, but the thing was that none of it was explained very well. It was unorganised and sometimes had crucial mistakes in it, which wasted a lot of my time. I give it two stars, because I learned a little Excel.
par Karolis M K•
The course name is very misleading. While overall it is not a bad course, I believe a lot of people come here expecting very different material. Let's just put it this way: Mastering Data Analysis (mostly things to do with probability) with occasional use of Excel. Do not expect to learn anything new in excel.
par Ajai G G•
Course did not meet any of the expectations. Neither Excel nor the analysis part. Should have focused on one of the aspects to make it more stronger. In my opinion "deviated" & stressed too much on statistics and model building (regression, logistic regression etc.) but did not do justice to that also!
Does not teach Excel very well while tryng to apply the basic usage instruction to not too difficult problems. The ability to interface with Excel after some knowledge of Python/R or other programming languages would be helpful in the Data Science programming that is increasingly being promoted.
par James B•
This class required far too much independent study. The instructor did not provide enough instruction or reading material to complete the quiz each week. There was too much focus on the conceptual data with very little emphasis on practical application of the material.
par Terry-Ann L•
This course is doable if you have prior knowledge of probability and statistics. This is not for beginners and should therefore by reclassified as intermediate and above. I am sorry I enrolled in this course. I have truly hit a brick wall and can go no further...
par Guillaume C•
Way too many abstract concepts that are not relevant to the challenges that I encounter in my day-to-day role. I wish this course would actually show me how to solve PRACTICAL business problems.
The 2nd part of the course is not enjoyable at all. Sorry.
par Ivan K•
There are dozens of formulas, but almost no examples and clear instructions of what to do step by step and explanation of how we can apply obtained knowledge in real world. One exception is the Markowitz Portfolio Optimization which is great.
par Loukas K•
This course is only supported by a course of data analytics. It should clearly state that advanced statistics is a prerequisite knowledge. I expected to learn advanced excel techniques, not to be required to know statistic models to apply.
par Luke B•
Poorly explained , you don't actually learn much excel . They just continuously provide spreadsheets for you without teaching you how to actually use excel for data analysis. Would not recommend for beginners wanting to learn excel.
I feel that the course does cover adequate topic to improve our mastery of data analysis in Excel. The course is more focus on the statistic and probability theory without giving adequate explanation on how to work on Excel.