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

4.5
30,300 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

BF

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

FC

Nov 5, 2019

It would be nice if you could update the material since some tools have changed either name or the way they look compared to the videos/images. Very good material though, I enjoyed the course much.

筛选依据:

3926 - Tools for Data Science 的 3950 个评论(共 4,971 个)

创建者 Timothy B M

Sep 23, 2019

The instructions no longer match the applications and a lot of time is wasted trying to figure out what to do. There are literally hundreds of forum entries complaining about this.

创建者 Arpita C

May 24, 2020

I enjoyed the course and think its really useful to understand the tools ahead of the core training, however the visuals and the hands-on are not in sync particularly so in Week 3

创建者 John H

May 18, 2019

The course was okay. I learned about a few new data science tools. However, I only gave three stars because I felt like the lessons and assignments could have been more in-depth.

创建者 Adam W

Nov 8, 2023

Professionally prepared course with nothing but fancy tech names. The only useful assignment was the jupyter + github, so 2 stars for being professional and 1 more for the that.

创建者 Gireesh D

Jul 20, 2020

The content could be updated for the current IBM Watson Studio user interface.

It was difficult to follow the instructor .

Also SPSS Modeler tutorial there was no way to practice

创建者 Alexis R

Feb 17, 2020

The source tools demonstrated in this course have been updated and changed. The user must visit the forums to get more current information not provided by the course materials.

创建者 Antonio L N

May 25, 2019

IBM Watson Studio was forced-fed to learners. I was very happy happy with open tools from Cognitive Labs (Jupyter Notebooks, Apache Zeppelin) and should have stuck with these.

创建者 William J

Feb 9, 2019

The overall content was fine; however, the videos were sadly out of date and it was very difficult to set up an account and create a Jupyter notebook following the directions.

创建者 Robert C

Feb 6, 2020

Much of this was 5-star worthy, but a new video is desperately needed, as it does not match up with the current Watson environment and creates a lot of unnecessary confusion.

创建者 Oguz A

Dec 20, 2024

Concepts are though very prefunctory. Especially R and github section is very hard to understand, it just confuse you more, I think these parts shouldn't be thought that way

创建者 Kushal J

Jun 25, 2021

The course was more focused on listing various tools and a brief on them and with not zero experience and knowledge on data science jargons, made this course less effective.

创建者 David E

Apr 9, 2020

I felt like some of the information on tests was never covered. Same is true for some modules. Overall, learned tips though. The cheat sheet for coding is extremely helpful.

创建者 Joseph A

Jun 6, 2023

Despite it helping better understand what are the tools used in data science and how I can use the, the speaker's voice felt so robotic that made it harder for me to focus.

创建者 Huy P N M

May 20, 2021

Typical marketing course :))), unless you are aiming for a professional certificate, I don't recommend this course at all, cause you learn nothing besides IBM software :)))

创建者 Pauline S

Jan 4, 2023

Very basic. You learn what tools exist but not really how to use them. Also, too much emphasis on Watson, even though I understand that IBM wants to promote their product.

创建者 Mek T

Jun 20, 2020

Not very organized course, a lot of stuff plugged in a module and because of that frustrating to learn. On the positive side, I like module 2 on Git and Jupyter notebooks.

创建者 Nora S I

Dec 3, 2018

I liked the course, a good overview. Unfortunately, I had such a hard time with the last task: not because of its difficulty, but technicalities using IBM Watson Studio.

创建者 Utkarsh S

Mar 29, 2022

I think this module should have more reading material. because there are too many technical terms which are just explained in a hurry which makes ti difficult to grasp.

创建者 Jonas F

Nov 12, 2019

The data platform's name and handling has changed, which makes it more difficult to create the accounts and follow the instructions. The instructions should be renewed.

创建者 Jakub C

Mar 27, 2020

There are some videos which are not updated and IBM Watson doesn't really work as described in scripts and videos. Project parts completely missing for some settings.

创建者 Nelson C

Dec 9, 2020

It is a course for very beginner to know what kind of tools that they may need to use for data science. And it is also an advertisement of IBM for their data service.

创建者 Andy C

Jun 29, 2020

I am ready to have more hands on experience, the overview of IBM products seems much to long. I would rather learn about the products doing more hands on exercises.

创建者 Ray C

Feb 22, 2020

The Watson studio training was poor and dated. The Watson interface was poorly constructed and not intuitive or user friendly. I prefer Pycharm and Rstudio to Watson

创建者 Prachi S B

Apr 22, 2019

It was difficult to get Watson Studio working initially. Faced many issues. And created almost 3 different accounts to get it working. Lost 3 days of time in that.

创建者 Liang S

Jul 27, 2019

The DSX video is very out-dated, I was pretty confused and frustrated while trying to follow the video guides. The R-studio map function was pretty cool though.