Chevron Left
返回到 Tools for Data Science

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

4.5
30,296 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:

4551 - Tools for Data Science 的 4575 个评论(共 4,971 个)

创建者 Tebatso M

Jul 15, 2025

I have been struggling with to move to the next module and I completed all the steps including the practical work

创建者 Ankit J

Sep 16, 2022

This course needs to apply more practical approach along with object oriented programming in order to be useful

创建者 K L

Nov 19, 2021

There was a challenge with the Skills Network lab throughout the course. It caused a delay in my learning track.

创建者 Alex L

Apr 27, 2019

Videos and text is redundant. Project is too easy. Course should be complete-able within one week, not three.

创建者 Kyle S

Jan 20, 2024

The assignments are poorly written and lack specificity leading to issues in the peer grading. Poorly created.

创建者 Vincent B

Nov 26, 2019

Confusing sections because interfaces presented are different than the current tool.

Needs to to be updated!!!

创建者 Anirudh S

Mar 3, 2020

course videos are outdated. hence its tedious to follow the assignments and software by watching the videos.

创建者 Eduardo D M

Jan 21, 2020

Las plataformas de IBM dejan mucho que desear, tuve muchos problemas iniciando sesión en IBM watson studio.

创建者 Laken B

Apr 5, 2020

Need to update videos. Not the same as current webpage layout.

I love Jupyter Notebooks though!

Keep it up!

创建者 Tony F

Jan 2, 2023

You can learn all this stuff on your own by watching YouTube videos, and you don't have to pay Coursera.

创建者 Deeksha S

Nov 25, 2019

The course is outdated. It was very different to work on it now compared to what is shown in the videos.

创建者 Rimmon G

Jun 24, 2019

Please Update Watson video

very old links and information

the reward link for 6 month promo does not work

创建者 Moatez B B C

Nov 21, 2019

this course is just an overview of 3 basic Data science tools: Jupyter-notebooks, Rstudio and Zeppelin

创建者 Igor L

Jan 5, 2025

Graded assessment ruins everything, other than that the course is very basic and is Ok for beginners.

创建者 nagaraja r

May 21, 2021

Assignments were with the queries which were not covered and i had go through the google to answers.

创建者 Sagar G

Feb 25, 2019

Week 3 has a lot of problems in creating account with IBM Watson Studio and following the videos.

创建者 Gustavo A N G

Sep 14, 2020

Video resources are not good. Some comments for improve the course are related on week 2 forum.

创建者 Michelle H

Jan 9, 2023

Not very clearly written. Instructions for tasks in outside programs are extremely confusing.

创建者 Luai A

Oct 6, 2022

Too many lessons about the used tools without explaining the data science basics behind them

创建者 Paul E

Feb 24, 2022

Thr IBM resources referenced were not accessible. Too many errors on links for course tools.

创建者 Heather L

Apr 24, 2022

Some things are outdated and hard to follow. Could have used more repitition for learning.

创建者 Pranit M

Jan 10, 2022

Was not able to access Watson Studio. Had a lot of trouble completing the final assignment.

创建者 William R

Sep 19, 2020

Outdated lessons, basically an advertisement for IBM products that you have to pay to see.

创建者 דני ג

Jan 21, 2020

This course is basically trying to promote IBM products without any notable skills learned

创建者 Yuchen G

Jan 6, 2020

The course video material is outdated. IBM Cloud service is shitty with lots of problems.