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
30,211 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

GC

Apr 12, 2020

It serves perfecty its aim that is giving a first glance of the open course tools for data science. Of course each tool is briefly touched and it hands over the student the duty to deepen each tool.

筛选依据:

4101 - Tools for Data Science 的 4125 个评论(共 4,952 个)

创建者 Vasant C

May 25, 2019

ibm watson has to be updated. There are several updates it missing in current course.

创建者 Ufra N

Oct 9, 2020

More like an advertisement for IBM tools rather than teaching fundamental knowledge.

创建者 Karan S

Apr 5, 2020

The IBM materials are not up to date . It will be good if the materials are updated.

创建者 Rafael M F

Apr 5, 2020

Great videos and lectures but some online resources were unavailable or not updated.

创建者 Christian S

Nov 23, 2024

Is an ok introduction to general knowledge of Data Science. Nothing groundbreaking.

创建者 Lawrence L

Jul 4, 2023

I can't follow the Watson Studio the UI on the cloud.ibm.com doesn't looks the same

创建者 Sarah R

Nov 1, 2022

Lots of focus on the IBM suite of products vs. just focusing on more general tools.

创建者 Saurabh

Oct 23, 2021

Lot of topic left uncovered. I find difficulty in some topic due to less detailing.

创建者 pavan j

Aug 25, 2021

This Course has high language of teaching, I mean beginners won't understand easily

创建者 Kateryna T

Feb 16, 2020

It requires to register in different tools outside the coursera to proceed further.

创建者 Mohammad A

Aug 10, 2020

More Practical Use of Tools instead of their info would have been more appreciated

创建者 Wesley v W

Jan 29, 2020

Videos are out of data and the navigation is different from video to new software

创建者 Eric S

Jan 20, 2020

Videos need to be updated to reflect what is currently live in IBM Watson Studio.

创建者 Deva R

Oct 22, 2020

It's not as good as the first course. i think it really needs reading materials.

创建者 Michel R

Mar 23, 2020

Interesting course that will introduce with the existing data science platforms.

创建者 Prabanjan C

Jan 22, 2020

Tools seems to be outdated, videos are not aligned with the IBM's cognitive lab.

创建者 Ana C O W

Jul 7, 2021

Muchas cosas toca pagar, y es muy teórico, seria chévere que fuera más práctico

创建者 Colin M

Oct 31, 2024

I wish that the message about not using your credit card was 1 lesson earlier.

创建者 Amine E

Aug 1, 2022

Could be better , confusion between using IBM cloud and the IBM skills network

创建者 Ettore M

Oct 19, 2020

In my opinion it should give more info on basics of languages/libraries usage.

创建者 Ian M

Jul 5, 2020

I think this course was to focus on IBM Watson studio and not on data science.

创建者 Maria J J A

Jun 23, 2020

It was not as engaging as I expected, too much theory and very basic practice.

创建者 SHALIN S

May 31, 2020

week 2 was very unstructured and difficult to follow, refer to feedback given.

创建者 Richard S

Feb 19, 2020

Good course but some of the videos are out of date as the software has changed