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

4.5
30,122 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

BF

Jun 13, 2024

Great introductory course to show DS enthusiasts the multitude of available tools. Part of every solution is picking the right tool for the job, therefore this course is important to pay attention to!

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.

筛选依据:

451 - Tools for Data Science 的 475 个评论(共 4,932 个)

创建者 Saad M

Jan 21, 2020

Videos are outdated, as well as its very hard to figure out that how to work with Watson studio, because there free version is full of issues,

创建者 Sounak S

Aug 27, 2021

Had a great experience on learning about open source tools used for Data Science and working on hands on based projects on IBM Watson Studio.

创建者 Felillop

Jun 24, 2021

Un buen curso sobre las herramientas IBM y Jupyter, aconsejo en este curso empezar a ir tomando nota para no perder detalle y quedarse atrás.

创建者 Danielle E

Sep 12, 2025

wonderful course! i really enjoyed this one because you get to learn about the different languages and have hands on labs with the languages

创建者 Lucia U

Feb 26, 2025

Some parts in the beginning were content heavy and difficult to assimilate. However, I greatly enjoyed the hands-on aspects. Thank you, IBM!

创建者 joseph (

Sep 6, 2022

Its a tough and great course but its doable. There is a lot of new stuff you learn especially if you are not coming from an ICT background.

创建者 Husayn Z A

May 14, 2020

I really enjoyed this course. I loved the explanation of the videos and the assignments weren't too hard either. Overall, I really loved it.

创建者 Susan A

Apr 24, 2020

I found this course very informative... I knew very little about all these Open Source tools available to Data Scientist for analyzing data.

创建者 Jean P G M

Feb 26, 2020

Me pareció excelente, porque he aprendido mucho, además que he podido conocer herramientas que son Open Source y que puedo usar cómodamente!

创建者 SELEMANI S J

Aug 9, 2018

Great Introduction to open source tools for data science. The hands on labs they were informative and just perfect for introduction purposes

创建者 jovitha A

Jan 28, 2020

Excellent! I learned various open source tools for data science successfully and now am able to use the tools. Thanks You IBM and Coursera.

创建者 Jennifer B

Dec 31, 2019

Great to separate the tools and environment in this way, so that working out the tool doesn't get in the way of learning the content later.

创建者 Nur C N

Jul 3, 2019

I love the hands-on with IBM Watson and Skill Network Labs, it's really helpful without set-up my own local environment. Love it so much!!!

创建者 Raghuram B

May 29, 2019

This course helps for people who are intermediate to DataScience. We can explore the popular tools and methodologies used for data science.

创建者 Oedhel S

Apr 15, 2019

Great overview of the most common tools. Definitely worth looking at if you're still trying to figure out what forms of coding to focus on.

创建者 Petko V

Nov 19, 2018

Course content was good. May want to consider updating some of the videos as some of them do not match with what the IBM UI looks like now.

创建者 Mehmet G I

Sep 10, 2019

I am so happy and exited to join this online class.This course is so helpful and because of this course I ve learnt too many useful tools.

创建者 Nguyen T S

Jul 26, 2021

This is a very useful course for beginner data scientist. Thanks IBM for making this course and the free tool for data science community!

创建者 Carlos A A V

Jan 16, 2023

Muy conforme con los conocimientos que brinda este curso. Termino muy contento y con la idea de seguir avanzando en este mundo. GRACIAS!

创建者 Raphael K

Jan 27, 2021

A well coordinated and educative course on data science. Highly recommended for anyone with passion to learn and understand data science

创建者 alexander e

Oct 7, 2020

i learned git and GitHub the easy way and also the layout of the video presentation and hands-on practical lab makes learning so easy

创建者 MADIREDDI G (

Oct 5, 2020

I REALLY ENJOYED THIS COURSE. THIS COUSERA PLATFORM IS EXCELLENT TO THE CURIOUS STUDENTS WHO WILLING TO STUDY AND LEARN SPECIALIZATIONS.

创建者 Tom W

Jun 22, 2020

Great introduction into the tools of data science! I'm very impressed and thankful for the wealth of resources presented in this course.

创建者 Naveen R

Jun 17, 2019

The course is really helpful and very much understandable, slow and encouraging. I appreciate it and would recommend this to my friends.