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Отзывы учащихся о курсе Julia for Beginners in Data Science от партнера Coursera Project Network

4.5
звезд
Оценки: 36
Рецензии: 12

О курсе

This guided project is for those who want to learn how to use Julia for data cleaning as well as exploratory analysis. This project covers the syntax of Julia from a data science perspective. So you will not build anything during the course of this project. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Special Features: 1) Work with 2 real-world datasets. 2) Detailed variable description booklets are provided in the github repository for this guided project. 3) This project provides challenges with solutions to encourage you to practice. 4) The real-world applications of each function are explained. 5) Best practices and tips are provided to ensure that you learn how to use pandas efficiently. 6) You get a copy of the jupyter notebook that you create which acts as a handy reference guide. Please note that the version of Julia used is 1.0.4 Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Лучшие рецензии

JS
3 окт. 2020 г.

Very handson course. With some knowledge in DScience it was easy to learn about the characteristics of why Julia is beign used.

MP
26 авг. 2021 г.

This is a very good introductory course to understand the Data Science capabilities of Julia packages.

Фильтр по:

1–13 из 13 отзывов о курсе Julia for Beginners in Data Science

автор: Paul O

6 дек. 2020 г.

The online tool didn't work at first, then I ran out of the limited time alloted to me so I had to do the exercises on my own computer. Some of the "correct" quiz answers are not actually correct. The section on "joins" shows four different types of joins, but due to datasets used all four produced the same output - not ideal for learning the differences.

автор: Julio S

4 окт. 2020 г.

Very handson course. With some knowledge in DScience it was easy to learn about the characteristics of why Julia is beign used.

автор: RITA A H V

8 нояб. 2020 г.

Good exposition, but I didn't understand how to use the tool. Thank you!!!

автор: Francisco S

31 мая 2021 г.

M​ethods used are not explained. Deprecation warnings with a simple instruction are not followed. Code is hard to read (no spaces between args, etc.).

автор: Manuela m c

7 нояб. 2020 г.

es un gran project para aprende de manera rapida y sencilla sobre Julia, así mismo explica algunos conceptos basicos de la ciencia de datos y como se realizan con Julia

автор: Madhavi P

27 авг. 2021 г.

This is a very good introductory course to understand the Data Science capabilities of Julia packages.

автор: Anuva M

23 мая 2021 г.

Very good for beginners

автор: hadi k

12 дек. 2020 г.

Very fun and helpful

автор: Analyn B

20 дек. 2020 г.

Thank you so much!

автор: Hugo R T G

16 окт. 2020 г.

Excellent project.

автор: Paul D B D

18 нояб. 2020 г.

Very helpful.

автор: Priscila A B

3 апр. 2021 г.

Perfect!

автор: Priyanka S

28 июля 2021 г.

i like the content flow