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Отзывы учащихся о курсе Code Free Data Science от партнера Калифорнийский университет в Сан-Диего

Оценки: 94
Рецензии: 30

О курсе

The Code Free Data Science class is designed for learners seeking to gain or expand their knowledge in the area of Data Science. Participants will receive the basic training in effective predictive analytic approaches accompanying the growing discipline of Data Science without any programming requirements. Machine Learning methods will be presented by utilizing the KNIME Analytics Platform to discover patterns and relationships in data. Predicting future trends and behaviors allows for proactive, data-driven decisions. During the class learners will acquire new skills to apply predictive algorithms to real data, evaluate, validate and interpret the results without any pre requisites for any kind of programming. Participants will gain the essential skills to design, build, verify and test predictive models. You Will Learn • How to design Data Science workflows without any programming involved • Essential Data Science skills to design, build, test and evaluate predictive models • Data Manipulation, preparation and Classification and clustering methods • Ways to apply Data Science algorithms to real data and evaluate and interpret the results...

Лучшие рецензии

21 июля 2020 г.

this course is so helpful for me as I am on the entry-level of data science learning.\n\nhowever, 1 questions on the last quiz need to be reviewed,\n\nThank you, Coursera!

27 окт. 2020 г.

I like this course since it gives me an operational overview on what data science can do on a large data. How I wish there is an extension to this course. Thank you!

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26–30 из 30 отзывов о курсе Code Free Data Science

автор: Blaine S

14 авг. 2020 г.

It was interesting to learn about Data science and the basics of how to organize and view it, but there wasn't much help from the forums. So whenever you get lost you have to review all the videos and chapters by yourself. I would recommend doing the version for the sake of learning it by itself!

автор: Patrick B

16 мар. 2021 г.

the course is interesting, but no clear explanation/guideline for the answers of the exercises

автор: Benjamin P

24 февр. 2020 г.

good course to get an overall introduction, but content is shown very fast and there is a lot of reading material.

автор: César O H C

8 апр. 2021 г.

Audio vquality is bad, resources are hard to find in week 4 and there is no interaction with instructors

автор: Evren T

29 сент. 2020 г.

Everything more complicated, no one look at discussion forum