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学生对 IBM 提供的 Tools for Data Science 的评价和反馈

4.5
30,308 个评分

课程概述

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....

热门审阅

AA

Oct 15, 2024

Good Course overall focus in basic tools. the course could be shorter as someone who know which language who want to use and familir with the tools already shouldn't learn all the course materials

MA

May 19, 2023

The course is overwhelming for a beginner with no experiecne of programming. The examples given in the class seem difficult and should have been of a lower difficulty level to keep the hopes high.

筛选依据:

3151 - Tools for Data Science 的 3175 个评论(共 4,973 个)

创建者 Wai L

Mar 29, 2020

Really easy to follow along until Week 3 when the videos were all out of date. -1 star for that.

创建者 Brijesh K

Jul 10, 2019

good basics concepts which can be useful to applied on future perspective data science projects.

创建者 Chinwe N

Mar 8, 2019

IBM account instructions should be updated - took a long time to figure out how to set things up

创建者 Christian O

Dec 18, 2025

Excelente curso con comandos e información actualizada, debería tener laboratorios interactivos

创建者 Muqqadam T

Aug 11, 2024

Was great But Should Be More Focused On Practical Work Rather Than Theory Overall Was Great Exp

创建者 thippeswamy m

Apr 17, 2024

It is really good learning experience, it covers necessary tools required for Data Engineering.

创建者 Farizal J

Jan 11, 2019

It needs to be more challenging but happy to be introduced to various helpful tools nonetheless

创建者 Michael M

Mar 29, 2021

Great course it will surely activate your interest in data science as well of learning coding.

创建者 ashish k b

May 14, 2020

It is good Course for understanding data Science open source tools and practical use of tools.

创建者 Andrei B

Jan 17, 2020

Last part is a bit out of date after IBM changed the interface of IBM Data Science Experience.

创建者 renaud A

Aug 22, 2019

Un cours vraiment tres interressant

j'ai beaucoup apris sur Jupiter Notebook, Rstudio, Zippelin

创建者 raviteja g

May 27, 2019

A very brief overview of all the open source tools required for Data Science. Well structured.

创建者 R V

Aug 14, 2023

Good course, better clustering of similar topics would have improved the learning experience.

创建者 Michael S

May 10, 2021

There was too much video content for the variety of tools. The content, however, is thorough.

创建者 Mauro V

Jul 14, 2019

Course is not updated to the IBM Watson Studio interface. Good material and exercises though.

创建者 Egemen N

Feb 10, 2025

Too much IBM focus in teaching. I'd rather have a non-biased approach but I do understand...

创建者 WILLIAM M F

Dec 16, 2023

The course is very good, but the colleague who made my assessment didn't pay much attention.

创建者 Harsh S

Mar 23, 2020

Nice course for learning the basics of open source tools required in the data science field.

创建者 Rafael K H

Nov 23, 2019

Some videos are outdated, but still you can manage to complete all sections and assignments.

创建者 Fabio W

Jun 13, 2019

Great course, Watson screens are little out dated now but it doesn't detract from the class.

创建者 Tiffany W S

Sep 5, 2018

Some of these videos need to be updated. They don't along with what is current on the sites.

创建者 Santosh K K

Jun 12, 2023

It is a good course for beginner's to know what all are used for working with data science.

创建者 Gage S

Mar 30, 2020

Some of the material wasn't up to date. However, it was still easy to figure everything out

创建者 Hrushikesh R

Feb 20, 2020

The final Assignment marking was not good though I performed well I didn't got full marks.

创建者 Aditya V S

Jan 27, 2019

Good introduction to the tools that will be used in visualizing the data and data analysis.