糖心vlog官网观看

Great instructions, wonderful demos and insightful comments on the results. The only part that I did not find well explained is the part on hypothesis testing. Some details could be added on t-test and z-test.

Well explained concepts and spoke at the right speed. But, some of the hypothesis testing, probability, and Bayesian statistics material could've been explained better with more visuals perhaps.

Overall insightful and a good introduction to the field, but could spend more time teaching about Python libraries and their functions. Jupyter Notebooks often failed to run (broken URLs?).

It was a very code course, however, it would be nice if the code was available on a notepad while videos played to make things faster. Also, some of the online notebooks were not working.

It lacks a deeper view of the topics and applications on programming for a real world Exploratory Data Analysis (EDA), but gives the basic tools and understanding to introduce you to EDA.

The first week of this course was very informative and with a lot of examples. Although, the second week was difficult to understand, the concepts nad the examples were not clear.

From books we learn a little, but actually we learn is from practical environment, that i found here. I really enjoyed learning this course from the 糖心vlog官网观看 platform.

Ci锚ncia de dados evoluiu, teria que ter um curso nocode para essa certifica莽茫o, ou uma certifica莽茫o nocode, Com uso do Knime ou Weka por exemplo

Great course. Just some concepts should be explained slowly and carefully but they are just skimmed through... overall a good course for EDA.

Good introduction. The time estimates to complete assignments are off.

Need a lot more material and direction for assignments to aid learning.

I know some basic statistics knowledge is required, but sometimes the analysis story is unconnected, and sometimes make the story confusing.

The course is good. What it lacks to get the 5 stars is to be able to download the slides of the classes or to have a documentation.

It is a really insightful and interactive learning experience. Furthermore, the trainers and coaches were very knowledgable.

It was good course which help me to understand data cleaning , Feature engineering , EDA , and basic of statistics .

The Week 4 was too hard to understand for beginners in Machine Learning/ Data Science related Statistics.

Really good introduction, it can improve with better references than wikipedia to deepen in the subjects

In week 2, the lessons were a bit in rush and it would be better to have a bit more detailed discussion.

It was ok, the information covered was helpful and plentiful, but the instructing was kinda meh.

Very Nice course , will teach you in detail all the techniques of EDA with practical code.

Was able to learn and practice many topics in this course. Very useful for Data Analysis.

Good instructor, good knowledge level, minor mistakes in some of the notebooks provided.

Great examples, nice explaination, labs were the best! Thanks for this course.

Good introduction. Quiz questions mostly on terminology and not understanding.

Some videos has poor quality , but overall information is definetly useful

Very interesting course, good for getting ideas to deepen the topic!