Chevron Left
Voltar para Tools for Data Science

Comentários e feedback de alunos de Tools for Data Science da instituição IBM Skills Network

24,693 classificações

Sobre o 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....

Melhores avaliações


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:

3701 — 3725 de 3,999 Avaliações para o Tools for Data Science

por Hardik P

18 de abr de 2019

por Phenil B

3 de abr de 2019

por Abraham Z

31 de dez de 2019

por I-Ju C

21 de nov de 2019

por TW Y

4 de jul de 2020

por Monica S

9 de out de 2019

por Rahul A

26 de mar de 2022

por Amp D

3 de set de 2020

por Carlos

9 de mar de 2020

por Ashwin D

26 de abr de 2020

por Tobias M

30 de nov de 2019

por trung n

30 de ago de 2020

por YI Y

20 de mai de 2022

por Domenico G

11 de jan de 2021

por Aleix C T

17 de jul de 2019

por Pietro P

28 de dez de 2018

por aman J

19 de jun de 2021

por Nikolay B

18 de mar de 2021

por Jing F F

2 de fev de 2020

por Jan S

7 de dez de 2021

por Denis K

21 de jul de 2021

por Arjun C

6 de jan de 2019

por Preston K

1 de out de 2018

por Jorge F

9 de fev de 2022

por Aman _

28 de jun de 2021