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.
by Nicolas E•
Very important course if you want to know more about data analysis. Fascinating materials (Markowitz optimisation, linear regression, information gain, binary classification...) with both theoretical and practical aspects! In spite the fact you won't learn much about VBA skills, this course will definitely give you a very good basis for addressing any data analysis problem with Excel.
by Karen H•
Very informative, and very challenging! The final project really challenges you to pull all of the concepts together in a real-world situation. That process helped solidify my understanding of the concepts.
Would have liked to have had more explanation on linear regression, but overall everything was great. I have a much more concrete understanding of the basics of data modeling.
by Jason M•
Frankly speaking, this course is a little bit hard for me although I have studied them during my master programs. There are many formulas in the course and hardly to remember in short time. I had to review the videos several times. I'd like to recommend the professor may summarize such fomulas in one page so it's more easy to students to catch up the course.
by Hichem D•
I loved this course, a lot of new informations, very good explanations of the materials and you can always practice what you have learned with plenty of examples. I've empowered my skills in data analytics especially with Excel, i recommend that a learner should have a little knowledge about data analysis becaus this course will make him more confident.
by Baha U K S•
I will recommend this course only to those who are really into statistics and is willing to understand in-depth statistical methods. The course title can be somewhat misleading because the course does not focus on Excel features on analyzing data, rather it focuses on statistical procedures. However, the assignments were fun to work with.
by Gabriel B•
A challenging yet very rewarding class. It is important to truly understand concepts prior to moving on in the course as this will make the final project much easier to complete. I recommend doing a quick review of the math concepts used in this course as it will give you a foundation to understand the concepts introduced in the course.
Excellent and reasonably challenging course. One of the courses that would be extremely hard without a solid foundation in maths.
The final project is massive and time-consuming - I didn't see it coming and was surprised, not in a good way ;) You better start working on the final assignment since the beginning of the course.
by Manuel A•
Excelent Course, great to introduce yourself in the world of data modeling with excel and statistics. Its not a course of excel, is a course that teaches data analytics and how to use excel as a great tool for it(I you want dynamic tables and accounting this might not be your course).
Highly recommendable, Thanks for all!
by Huynh L D•
Well, it'll be good if you set the expectation that you're learning information theory and binary classification in this course, with Excel being the tool by which you use to learn those concepts.
However, do not expect this course to be entirely about Excel, it is not.
With the right expectation, this is a great course!
by Dao T H•
The course is very useful. I can learn how to build an effective binary classification model to support for my decision-making process. All learning materials, especially Excel files used in the course is very detailed, greatly assisting me in understanding what the lecturer talk about and how to calculate in Excel.
by Obi N•
I had no idea this would draw me back into the realm of mathematics I had long abandoned and made no use of. But for good reason it did. I can now apply all that maths to analyse information and generate valuable insight that can make a difference. Definitely worth taking if want to understand applied data analysis.
by Labros V•
Amazing course. I actually have an interview for the position of forecast modeller in a bank and I'm am to present the same subject as the project. I maybe land my new job because of this. It's challenging though. I still remember the days that I put on to complete it ( and mainly the project).
by Nan S•
This course opened my view on using Excel to do advanced data analysis. But I have two recommendations, the first is that it would be better to add more supplementary on the Math-related part, esp the liner regression part. The second is that it would be better to expand the content of week1.
by Сакова А А•
Курс оказался очень обширным и достаточно сложным. Над финальным проектом пришлось хорошо потрудиться. Очень понравилось, что все теоретические данные были подкреплены практическими кейсами. Это позволило действительно понять как применять знания на практике. Большое спасибо за курс!
by Hitesh p•
course is great . instructor is beyond words. you need a good knowledge of mathematics and statistics for later weaks to understand course content . follow discussions also to understand concepts at broad and to know the mistakes commonly made. you will get double benefit.
useful and not too difficult. but i strongly recommend potential learners to finish part of the last week project once you've finished the former week assignment! as i didn't do this, it's really painfull to finish the final assginment consisting of several parts in a week
by Yogi H C•
The materials is extremely hard and challenging, I have to explore some aspect of the materials by my own to get a better understanding. Despite that, the forum discussion is really helpful. Thank you for the mentor and instructor for the help throughout the course
by Jonathan W•
This course was somewhat challenging and having no experience in this at all it really paid off to learn about models. It would do me good to take a statistics course and i plan on doing so this upcoming semester, to maximize my benefits from a course like this.
by Junaid K•
Excellent course. Focusses mainly on data analysis in Excel rather that teaching you all excel function. A good way to learn both. I recommend anyone interested in data analysis to take this course. The exercises are challenging to answer. It's fun solving them
by danesh j•
No need to learn Excel so I'm to focus on the content. The professor examples are clear and like that he provides different perspectives to looking at a problem and makes it visual as well in order to conceptualized the idea first so I can commit it to my mind.
by Gabriel G•
Great Course! It helped me increase a lot my knowledge and confidence with excel as a tool for statistical analysis! I recommend it!
Jesus answered, “I am the way and the truth and the life. No one comes to the Father except through me.John 14:6
by Jitesh g•
One of the best course that i have ever done. Just make a patience and repeat the lecture if u find any difficulty , every time you realise that you are increasing your capablities or knowledge in Data Analytics sector.I will surely recommmcend this course .
by Oleksii K•
Great and well-structured course, during wich I learned how to use statistics in data analysis and how to build useful models (binary classification, linear regression) using Excel. Especially liked the final project with interesting practical tasks.
by Molly M•
This course is very informative, and I am already thinking about applying the things I've learned in my work. I found that the first part of the final project was the most difficult and time-consuming part of the course. Budget extra time for it!
by Sergio O A A•
Altough it's an excelent course, from my point of view I need to do an excersise about binary clasification at the same time with the instructor because many time I get lost about what to do and how, but without that it's an challeging course.