Ratings and Reviews for Understanding and Visualizing Data with Python

many thanks to the teachers, very good course

An excellent course that helps to grasp the ever elusive central limit theorem and its application to simple random sampling. It provides solid foundation for learning hypothesis testing and statistical inference. Coregulations team. Great work.

Excellent course, practical

The course is very well structured and the labs are very good! I could learn a lot from this course and I really recommend it!

Outstanding course. I really recommend it.

So far the best statistics course I have taken on Coursera! High quality lectures and wonderful lecturers. The only thing I didn't like is the order arrangement of the homework. It started too hard, but once you overcome that, the rest is pretty doable.

This "Understanding and Visualising Data with Python" training offers: 1. lecture videos teaching you concepts 2. graded quizzes 3. a graded assignment where you have to create a survey design 4. Jupyter notebooks with exercises for you to explore statistical concepts in Python 5. walkthrough videos on Jupyter notebook exercises if you need some help to unblock yourself or when you want to understand why certain things were done The training was alittle lengthy but well worth the time. At times, because concepts can be explained in long sentences, you may need to rewind and revisit certain parts of the videos to get the full meaning of what has been explained. Overall, this training refreshed my understanding of: 1. basic statistical concepts - statistical measures, population, sampling 2. using numpy, matplotlib, seaborn, scipy packages in Jupyter notebooks (which was good because I currently dont code in Python at work) This training also explained practical ideas such as: 1. stratifying, clustering, why these concepts are important when sampling 2. issues with certain sampling approaches 3. useful ways to turn a non-probability sample into a probability sample, so that the analysis/claims you present would be grounded in a more solid basis. Points 2 and 3 in the list above were neither covered in school nor statistics texts in the past. So like me, you may get the chance to learn something new to apply to your work.

Completely Worth It

This is a good courses, it helps a lot of things, thank !

Great course and anyone can do it without any prior knowledge of statistics and Python