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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:

3076 - Tools for Data Science 的 3100 个评论(共 4,973 个)

创建者 Shankar B

Jun 3, 2020

The instructions are a bit complicated for the rookies. Could be a little slower and simpler. Great work otherwise

创建者 Mahesh L D

May 26, 2020

Learn new open source data science tool like Jupyter notebook, R studio. good practical hands on Jupyter notebook.

创建者 Nitin A D

May 22, 2020

Great course to get the knowledge of different tools available for working with data science and machine learning.

创建者 Md H H

Feb 8, 2020

Great Introduction to the Open Source Data Science Tools. But I would expect the tutorials to be easier to follow.

创建者 Roberto M

Nov 17, 2019

They need to upload the new videos, because the videos are with the old version which is very difficult to follow.

创建者 Prasanna K

Aug 3, 2019

it is very entry level course and lucidly explain. I would suggest to improve the difficulty level of this course.

创建者 Marco

May 11, 2019

i could not get access to the same screen as the one showed in the video.

maybe it's me, maybe it has to be checked

创建者 Nugraha S H

Mar 21, 2020

The videos need to be updated. The interface in watson studio is completely different to the one from the videos.

创建者 Eglė T

Jan 26, 2020

The course information is outdated and difficult to follow. Other than that, great overview on open source tools!

创建者 Prajeesh R

Jul 10, 2019

This resource on open source tools on data science is good, but it's kind of outdated video. Rest all are perfect

创建者 Kate O

May 9, 2019

This course provided a good introduction into open source tools for data science, including some basic tutorials.

创建者 Thiago C

Dec 21, 2024

I think that the final assingment is missing some orientation. The hints are not good enough to do the exercises

创建者 Will H

Apr 9, 2024

Some of the videos and plug-ins were outdated but the overall course was a great introduction into data science!

创建者 sibriu a

May 14, 2023

course is well structured and the thing is that i recommend is to bring in a human being to deliver the material

创建者 Peter M

Jan 16, 2022

Great course with amazing content, however kindly update the video content to suit the updated IBM user display.

创建者 Patricia P

Apr 18, 2020

Had some difficulty sharing my class project in Juypter notebook on Watson, but otherwise very rewarding course.

创建者 Partha S D

Feb 17, 2019

Only tools related to IBM were discussed. I was expecting some videos on installing and configuring those tools.

创建者 Xinyue L

Jan 18, 2019

Good introduction of open resources, though some contents are outdated and caused some unnecessary waste of time

创建者 Parvathy D

Dec 15, 2020

It was fun to get a hands-on experience! It broke all the misconceptions and fears I had towards data analysis!

创建者 shamith d s

May 6, 2020

Good course. learned a lot about open-source tools for data science, the only bad thing is videos are outdated.

创建者 Hemanth V

Jul 18, 2019

In last week, I think videos has to be updated, as IBM watson studio UI has changed for Data Science Experience

创建者 Nicholas J F

Apr 19, 2019

This is a good course, but they really need to update the screen shots to be up to date with IBM Watson Studio.

创建者 Jason C

Feb 4, 2024

Course was pretty good, the lesson on R was very glitchy and the code for visualizations kept throwing errors.

创建者 leonel j c t

Jul 2, 2019

It was a nice course but I also felt like I should have had some previous knowledge which was a bit confusing.

创建者 Bhavith K R L S

Jul 31, 2019

good course but in videos there are old version explanations, but there are explanations in discussion forums