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Bewertung und Feedback des Lernenden für Julia for Beginners in Data Science von Coursera Project Network

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36 Bewertungen
12 Bewertungen

Über den Kurs

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....

Top-Bewertungen

JS
3. Okt. 2020

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

MP
26. Aug. 2021

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

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1 - 13 von 13 Bewertungen für Julia for Beginners in Data Science

von Paul O

6. Dez. 2020

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.

von Julio S

4. Okt. 2020

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

von RITA A H V

8. Nov. 2020

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

von Francisco S

31. Mai 2021

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.).

von Manuela m c

7. Nov. 2020

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

von Madhavi P

27. Aug. 2021

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

von Anuva M

23. Mai 2021

Very good for beginners

von hadi k

12. Dez. 2020

Very fun and helpful

von Analyn B

20. Dez. 2020

Thank you so much!

von Hugo R T G

16. Okt. 2020

Excellent project.

von Paul D B D

18. Nov. 2020

Very helpful.

von Pris A

3. Apr. 2021

Perfect!

von Priyanka S

28. Juli 2021

i like the content flow