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
30,232 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

MM

Aug 16, 2022

The course contents are verry good and well structured except that Watson Studio tools and services options need to be explaind more, specially those used in the lab steps or explained in the videos.

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:

1426 - Tools for Data Science 的 1450 个评论(共 4,957 个)

创建者 Moez B

Dec 25, 2018

Very basic stuff, but a well-organized course.

创建者 zahid h

Aug 3, 2024

Everything was clear and explained perfectly.

创建者 Alpheus L M

Jun 30, 2024

IBM Account, IBM Cloud and IBM Watson studio.

创建者 Paul L

Oct 11, 2023

Provide me lot of model insight/open sources.

创建者 Prince O

Jul 15, 2023

coursera is very practical, i really like it.

创建者 Do T N

Nov 21, 2022

The course gives necessary overview knowledge

创建者 Elias L

Aug 31, 2022

Interesting, gives some tools to start in DS

创建者 Ramazan T

Mar 31, 2021

Everything is perfect. Thanks for the course.

创建者 CHALLA K S N M S

Aug 26, 2020

Awesome introduction to tools of Data Science

创建者 Paul

Jun 16, 2020

An excellent tutorial for Data Science tools.

创建者 Balarabe N

Apr 5, 2020

A great and simple way to impart knowledge :)

创建者 Deleted A

Jul 31, 2019

Awesome platform to learn about data science.

创建者 Donald H

Jun 22, 2019

Good entry level review of available DS tools

创建者 Zvonimir K

Feb 24, 2019

Good introductory course to open source tools

创建者 Ervey G

Feb 12, 2019

It´s ok, but it is outdated in the last week.

创建者 Román L

Oct 30, 2025

Excelent method for learning and great depht

创建者 habib a

Dec 16, 2024

excellent course with great course material.

创建者 Dennis N

Aug 17, 2024

Great course for Data Science professionals.

创建者 Atim E

Feb 22, 2024

I love the step by step approach of teaching

创建者 Izzeldin A A

Feb 20, 2024

A very wonderful and very interesting course

创建者 yicell m

Jan 30, 2024

good overview of the tools of data scientist

创建者 Rahul K A

Oct 15, 2023

very helpful to learn and deep understanding

创建者 Franco D

May 10, 2023

Excelente, muy completo y didáctico. GENIAL.

创建者 Rahul K

Feb 25, 2023

it was nice session to improve our lnowledge