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
30,112 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:

4826 - Tools for Data Science 的 4850 个评论(共 4,931 个)

创建者 Muhammad F

Jan 23, 2020

videos are not helpful at all. you have to find other sources to complete this course.

创建者 Aviv H

Sep 15, 2018

Totally redundant.. I get the IBM promotion agenda, but it is not useful in this stage

创建者 Rodrigo C

Apr 25, 2020

Update the videos, I do not understand how can you charge for an non updated ourse,

创建者 Korawan E

Feb 24, 2021

A lot of bugs. I'm very disappointed about this course. 24/7 hep is not existing!!

创建者 Dipangkar K

Jul 15, 2019

Watson studio connectivity is poor. Lectures are not in-depth and not professional

创建者 Ashish D

Oct 4, 2021

IBM has withdrawn support of IBM CLOUD & WATSON, leading to issues in Assignments

创建者 Jahir s

Oct 13, 2022

IBM CLOUD BLOCK ALL THE PLATFORMS THAT USE LITE ACCOUNTS FROM THE LINK COURSERA

创建者 David E G O

Mar 22, 2021

Ingrese a la direccion web indicada y no concuerda con lo indicado en el curso

创建者 Michael I

Sep 13, 2020

Mi certificado no aparece el nombre de IBM en grande solo se ven rallas azules

创建者 Alex L W C

May 15, 2020

The instructions of the videos for completing the graded project are outdated.

创建者 SHRAVAN S

Aug 12, 2023

One of the worst task in peer assigment task to upload screenshot of notebook

创建者 M F

Jun 1, 2022

It wasn't that organized. Things mixed up. I am not happy with this course.

创建者 Jianfei Z

Jan 20, 2019

Not too much things introduced. Just let you open an account in IBM cloud.

创建者 Giancarlo M

Jul 10, 2020

Poorly explained. The Git hub part needs to be rethought. Disappointing.

创建者 Pablo A G

Nov 26, 2022

Tools have changed from the ones described in the videos and lectures.

创建者 Damir K

Jul 3, 2023

The extent of superficiality of this course makes it totally useless

创建者 Allentine P

Dec 4, 2020

The worst course I ever take. outdated, not informative, not useful.

创建者 Alice H

Feb 3, 2019

Instructions to resolve the outdated videos are out of the sequence.

创建者 Gajendra R

Sep 23, 2018

Bit improve it by including some short of practice lab with example.

创建者 Ahmed E

Jul 12, 2020

Very unorganized course , it can be represented in much better way

创建者 mark g

Sep 7, 2018

Difficult to follow as the Jupyter Notebooks have been deprecated.

创建者 Rafael P S

Oct 28, 2021

Poor content. It's really just an advertisement for IBM products.

创建者 Enrico C

Apr 12, 2020

impossible to conclude because of the videos that are not updated

创建者 Akshay P

Jan 31, 2024

The peer review took all the fun and hardwork out of this course

创建者 John T

Nov 23, 2023

submitting projects to be graded by students should be optional.