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

4.5
30,217 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

LK

Aug 29, 2020

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.Thanks !

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

筛选依据:

3251 - Tools for Data Science 的 3275 个评论(共 4,955 个)

创建者 王一伊

Jan 7, 2020

I don't see similar buttons when using Watson Studio as the videos showed DSX

创建者 Joaquín M

Nov 16, 2022

Some questions are verry specific but it is a great intoduction to IBM tools

创建者 Dony G

Dec 5, 2019

The course material are outdated that I had real struggle finding it online.

创建者 SARVESH Y

Oct 13, 2019

there must be some hands-on experience for every tool which has been taught.

创建者 Sweeti S

Jan 16, 2023

it was very good experience as i first time did hands on workshop like this

创建者 Asibur R

Oct 8, 2022

Watson Studio: On Data refinery video didn't include how how to import data

创建者 Yaniv Z

Apr 9, 2022

Some of the videos are not updated to the current versions of the softwares

创建者 Dhilma G

Aug 1, 2020

Too much of information packed in single course. Pretty hard for beginners.

创建者 João A O

Apr 4, 2020

The course needs an update, since the tutorial resources have changed a bit

创建者 Steven X D T

Mar 17, 2020

Course structure is good but the Labs has lots of issues / technical errors

创建者 Jamil H

Feb 14, 2022

The videos need to updated to match the current version of Watson Studio.

创建者 Jiale L

Nov 3, 2021

Practice exercises were too simple for the quantity of information learned

创建者 Saagar M

Jan 26, 2020

Good information regarding data science tools but few videos are outdated.

创建者 Roderick W

Oct 7, 2019

The videos need to be updated to cope with the new Watson Studio interface

创建者 Taha m

Dec 14, 2018

Should have elaborate little bit more about softwares and basic coammands.

创建者 Carlos J

Jul 31, 2023

Taking screenshots seems odd given how easy is to share Python Notebooks.

创建者 Ramasamy T

Dec 16, 2020

In 2 and 3 content placed impropriate and some of them not explained well

创建者 SAURAV S

Dec 10, 2019

Introduction to these open source tools is well presented in this course.

创建者 Nabamita

Nov 27, 2019

the demo tool version was not the same we used for doing final assignment

创建者 Kevin D

May 24, 2019

A bit repetitive on the IBM Watson piece but a good overview nonetheless.

创建者 Pedro V d A

Sep 9, 2023

Deu para ter uma boa noção e experimentar alguns conceitos. Vale a pena!

创建者 Ankit

Jul 13, 2023

I enjoyed the course because of the detailed information provided in it.

创建者 manoj b

Mar 27, 2022

Course was fine, but videos could have been more better and interactive.

创建者 Manjeet K

Aug 26, 2021

that is good but it wants more improvement in modules to identify easily

创建者 Ajinkya K

Sep 19, 2020

Videos could be longer to help folk who have zero programming knowledge.