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
30,225 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

MO

Apr 17, 2023

the best course for the beginner who is going to start his data science journey. This course tells you all options like tools, libraries, programming languages, etc. Highly recommended for beginners.

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:

2976 - Tools for Data Science 的 3000 个评论(共 4,955 个)

创建者 Mose O

Aug 9, 2021

The course is good. I appreciate the way its done. I think we need more practical exercises for each of the three languages R & Python

创建者 Milind D

May 22, 2020

Screens for Data Science Experience (DSX) did not match well with what showed up on Watson Studio. Help from discussion forums worked !

创建者 Mengyan S

Aug 20, 2019

In my opinion, even for beginners could go deeper in this section. And the material for the IBM Watson Studio could be updated in time.

创建者 Md. R R

Apr 25, 2020

Nice intro to open source data tools needed to be modified for new IBM cloud interface. I faced some problem finding it out on my own.

创建者 Bill G

Oct 17, 2019

Informative. With all the technology available today it became abundantly clear - there is a great opportunity for viewing data today.

创建者 Guy B

Apr 20, 2019

It is a great course,

sometimes I found myself lost when I don't realize the rule of what I learn to the data science world in general

创建者 Todd M

Aug 25, 2024

Peer review needs some supervision, as many students do no understand the material and do not follow the rubric to grade effectively.

创建者 Alicia A R

Jul 16, 2023

Some commands used in R Studio were not correct and it was difficult to learn and correct them. The rest of the course was excellent.

创建者 Juan S R G

May 31, 2023

Everything was amazing. Only one thing for improve, before the final assignments could you please include the "Hands On" or in there.

创建者 Pedro C

Jun 8, 2022

It was really interesting but sometimes it goes into irrelevant deteails making it pretty dense. It should go strainght to the point.

创建者 Hizniye I B

Jun 17, 2021

Very hands-on, could have focussed a bit more on different tools (like hadoop, apache spark etc.) rather than frameworks to code in.

创建者 Serhii M

Nov 29, 2019

Sometimes was complicated to follow the instructions and they were not matching each other in the course and IBM Cloud, but anyway...

创建者 Ronak P

May 27, 2024

Good course , gives insight about the tools , libraries that data scientist uses ane prefers and gives hands-on tutorial on the same

创建者 Rubén P A

Apr 16, 2022

It was a good course, I learned a lot of new things, but some videos and information need to be updated because they have problems.

创建者 Fadi D

Oct 22, 2021

This is the first time I am familiar with the tools that are used in data science, The information was quite extensive as a newbie.

创建者 Ankit S

Jun 16, 2019

This course is very well balanced helps us to used Skills Network lab and IBM Watson studio and help us to learn various notebooks.

创建者 Daniel L

Jun 5, 2019

This should be a great first introduction to someone that doesn't know where to code and is the first time using one of this tools.

创建者 Emilien G

Mar 6, 2019

Didn't give 5 just because there are some difficulties to login to your Watson account page sometimes. Otherwise it's really great.

创建者 Jie Z

Jun 1, 2023

It is overall a good series of modules, but the tools and concepts discussed may be too many for a beginner to digest all at once.

创建者 Shaghayegh G

Feb 6, 2023

It would be much better if the labs cloud were open source. I could not use the code for IBM and lost the opportunity to exercise.

创建者 Ana M

Dec 30, 2018

Course was good, but teaching materials reference older version of Watson Studio, discrepancy between versions is a bit confusing.

创建者 Jayne O

May 4, 2022

It was a little bit tasking for nme considering I don't have a computer science background but I enjoyed the course all the same.

创建者 vipin k

Sep 18, 2020

Some sections are more dedicated to IBM tools rather than comparing the tools available in market and taking about the best ones.

创建者 Vasudev S

May 7, 2020

This course teaches you to use many open source tools that too without having to download and setup any software on your machine.

创建者 Collin C

Nov 20, 2019

Videos are outdated, so it is difficult to navigate IBM's website. The overall material is pretty good for a simple introduction.