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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:

3201 - Tools for Data Science 的 3225 个评论(共 4,955 个)

创建者 Ninad M K

Jul 5, 2020

This course basically explain the tools for data science.And it is pretty much cool.

创建者 Gisella B

Feb 25, 2020

Hay videos desactualizados en la semana 3 y me costó poder seguir las instrucciones.

创建者 Anthony L

Jan 20, 2020

High-level introductions of the common data science tools and analytics environment.

创建者 Xiwen L

Oct 29, 2019

Nice intro to different tools. If only it gives more examples or exercises to drill.

创建者 Nathan P

Oct 10, 2019

You will not really be using these tools in this course, they are simply introduced.

创建者 Jozef M

Sep 1, 2019

I've learned about many data sources & created accounts where I can learn. Thanks.

创建者 Thomas T

Aug 20, 2019

Good course, but a little bit unfortunate that the IBM Watson Studio changed design.

创建者 Chris O

Sep 8, 2021

The audio on the videos was not consistent. On some videos, the audio was too low.

创建者 Melissa k

Feb 4, 2020

some videos/ articles are outdated. please update, especially watson studio's part.

创建者 Simpson I

Dec 28, 2019

It Gave me a good basic understanding of the open source tools used in Data science

创建者 Aaron S

Feb 17, 2019

A lot of the videos, especially week 3, are not current with Watson Studio screens.

创建者 Bastian E

Feb 17, 2021

Good course, very clear what to do. In week two might be too many tools presented.

创建者 Baojing C

Jan 24, 2021

Many instructions are not correct, always make me confused, but anyway I passed it

创建者 Dante S

Apr 26, 2020

All and all a good course, but there are a few courses that have confusing videos.

创建者 Hong W

Mar 27, 2020

Good to learn some popular open resource tools especially for the IT dumb like me.

创建者 Bruno G

Nov 23, 2019

Good overview for someone that would not know about opensource data science tools.

创建者 Sucheta

Aug 8, 2019

Good course to understand open source Data Science tools. It gives a good insight!

创建者 Derek S

Mar 22, 2024

Useful for beginners and fairly comprehensive as a refresher for the experienced.

创建者 Greg G

Jan 6, 2024

The material is fine. The environment and interface are not intuitive or smooth.

创建者 Gianna B

May 11, 2023

I would have liked more hands-on practice and fewer screenshots during the final.

创建者 USMAN I I H

Sep 5, 2022

It was good I can rate it better once I find a good job relating to this course.

创建者 Javier R

May 13, 2022

Good overall.

Excessive IBM content.

The final exam has a strange set of questions.

创建者 Ibrahim G

Apr 21, 2022

it was some how fast and lack of exercises to practice all contents of the videos

创建者 Sergiu P

Mar 22, 2021

It gets confusing learning about all of the tools available, maybe touch on less.

创建者 Jeison J L

Jan 21, 2021

Nice introductory course / would like that the first part be not so content dense