I had no idea that the mundane statistical methods that I had learned in my college would be SO powerful in real life! This course is amazing. If you have a bit of a statistical background, you're gonna fall in love with this course. The instructors have ensures that every concept is covered, and by the end of the course, you are well versed in basic data analysis

We don't have to do the calculus, but some acknowledgement that mathematics, and not syntax, is actually responsible for how these tools operate would be great.

It´s a really good course, I´d like it to goo deeper into the techniques but still is very useful.

Data Analytics Tools are keep for Data Science.

Very informative. Thank you

Great course the skills learned have helped me greatly.

Really important concept (moderator) is explained very well.

Really poor course. Only good thing is the explanation of the ANOVA's. Get a free trial for that then cancel.

Firstly, the videos are incredibly cringey. The backgrounds/transitions etc. are highly distracting. And close-ups shots of people smoking aren't too suitable in the work environment. The male instructor's smirking face whilst shots are being taken on campus is really off-putting and inappropriate.

The code is just given to you; it would be far better if the course guided you through it. This Data Analysis Tools course can be taken on its own, yet it has a reliance on the past course being taken in the assignments. And you have to create a tumblr blog????? Not much thought put into this.

I would not recommend at all. Avoid.

Being as beginner I found through this course I am able to setup my base. Thanks

a useful introduction to Data Analysis. If you have never seen these things before you need it.

Covers a good deal of material.

Good course

Excellent course with clear explanation and practical work.

Good course, but need more direct feedback from professionals.

This is based on their previous course (Data Management and Visualization). This course is better in terms of explaining content clearly, and I enjoyed the real-life example used when explaining about the Chi Square test. However, the python coding could be more optimized; for example, it suggests doing the Chi Square post-hoc test for each variable one by one... which can be 15 batches of dictionary recodes! Thankfully someone in the forum provided a solution for doing an automated batch testing. Maybe the course lecturers felt that a batch recode would be too complicated, but it doesn't feel like you could use their method effectively for a work environment, either. In any case, it's still a good course to explain the various data tests for quantitative and categorical data if you're new to statistics.

Very Helpful course. Thanks.

Just love this whole specialisation! videos are great, lessons are great... it's just a great course! highly recommended to anyone looking to dive into the field of data analysis!

inactive forums with too many unanswered questions to get assistance by searching the forums. This course and program have potential, but it needs active moderators and mentors... otherwise it's definitely not worth the cost. Ended up switching to a Python-specific data science specialization, with a much more active forum.

good course, simple but resumed

This is an awesome course (as well as all of the courses in the Specialization I've taken so far).

I definitely recommend it to anyone with interest in data science.

Great information presented very clearly with many learning aids provided.

It is a very nice course for learning the SAS and Python. thank you all.

It is an amazing course where you can learn about manage tools, to analyze data. You can learn properly, it is a class made step by step. I recommend this a lot

I want SAS

Excellent course and excellent specialization. The classes were well taught and easy to understand.