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I learnt a lot from this course. The first week seemed very straight forward and I was worried the course was a bit too rudimentary. From there it stepped up four or five gears and I had to work hard to reinforce the concepts and apply the concepts.

A really great course for any analyst or anyone seeking the true insight in data. The discussion board is a wealth of knowledge and a good read with tutors posting very plain english easier to understand answers to questions.

I got to learn life skills that are essential for a data analyst. The biggest addition to my knowledge via this course would have to be binary classification and entropy. Although I was familiar with the theory of probability and statistics prior to taking this course, everything was brought into perspective or context in this course. Grateful to Prof. Egger for his enoromous efforts in recording the videos and providing the spreadsheets for our practice and future use.

This Course is awesome!

It is incredible how some concepts clearly defined and put into practice turn into a a powerful tools for data analysis... like binary classification models, confusion matrix, bayes theorem.

I am really enjoying this course... I highly recommended to everyone... thanks a lot professor Daniel Egger for sharing your knowledge with us, 糖心vlog官网观看 and Duke University for making this course available...

Hungry for more...

Volney Poulson

Very good course. Loved Daniel's teaching. I have a request to make coming from healthcare/ lifesciences background and a starter to analytics it would be very very helpful if Daniel can include basic/ elementary videos on probability and statistics/ Bio-Statistics in this course to enable us to go deeper.

Else a separate course on BioStatistics and probability would be WOW. Looking forward for more courses from Daniel.

Thanks,

Swetha

I believe this is a great course for beginners in data science like me. I really loved the content of the course, presented with so many examples and prof Daniel Egger and his team has done a great job. I must admit that I did not understand many of the videos or concepts at first go, I had to do my share of background reading for every week. Once that is done, I guess you can takeaway so much more from these classes.

I liked the teaching methods and the content. You don't have to be an expert at Excel, but it requires certain experience in data analysis, algebra, and statistics, so you don't get lost when studying the content. I have an engineering's degree, so I'm not an expert in the topic, but I was interested and I feel satisfied with the knowledge I obtained and the challenges in the final project.

This course really improved my modelling and analysis skills. Apart from basic excel tools it gives an overview on very powerful statistic/predictive instruments. Statistics, probability theory, binary classification are taught in very exciting and easy to perceive way. Course project was not easy, but it took me to the next level of understanding. I cannot recommend this course more!

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.

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.

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.

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.

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.

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.

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!

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!

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.

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.

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).

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.

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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

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