Chevron Left
Volver a Tools for Data Science

Opiniones y comentarios de aprendices correspondientes a Tools for Data Science por parte de Habilidades en redes de IBM

25,417 calificaciones

Acerca del Curso

In order to be successful in Data Science, you need to be skilled with using tools that Data Science professionals employ as part of their jobs. This course teaches you about the popular tools in Data Science and how to use them. You will become familiar with the Data Scientist’s tool kit which includes: Libraries & Packages, Data Sets, Machine Learning Models, Kernels, as well as the various Open source, commercial, Big Data and Cloud-based tools. Work with Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will understand what each tool is used for, what programming languages they can execute, their features and limitations. This course gives plenty of hands-on experience in order to develop skills for working with these Data Science Tools. With the tools hosted in the cloud on Skills Network Labs, you will be able to test each tool and follow instructions to run simple code in Python, R, or Scala. Towards the end the course, you will create a final project with a Jupyter Notebook. You will demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

Principales reseñas


14 de ago. de 2022

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.


12 de abr. de 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

Filtrar por:

226 - 250 de 4,090 revisiones para Tools for Data Science

por Sakiru Y

1 de may. de 2020

por Mehmet C

3 de dic. de 2021

por Lokesh D

23 de jul. de 2021

por Aman T

11 de abr. de 2020

por DEV A

2 de ene. de 2020

por Avirup C

16 de ago. de 2019

por Rohit M

25 de abr. de 2022

por Eric G

7 de oct. de 2018

por Moonsuk S

22 de may. de 2020

por Marceline C M

14 de feb. de 2020

por Jatin S

4 de jun. de 2020

por Apurva R

25 de mar. de 2020

por Jorge I P Á

25 de jun. de 2022

por Sandro P

10 de jun. de 2021

por Sri S S D

5 de oct. de 2019

por Gilmar N

19 de feb. de 2019

por Ramesh B

15 de ago. de 2020

por Max P

15 de sep. de 2020

por Josias S

9 de abr. de 2020

por Muhammad U N

14 de mar. de 2019

por Anish K

20 de jul. de 2020

por Adenuga B o

27 de abr. de 2020

por Anirudh G

6 de ago. de 2019

por Wei H

10 de mar. de 2021


14 de abr. de 2020