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

4.5
23,851 个评分
3,784 条评论

课程概述

What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, JupyterLab, RStudio IDE, Git, GitHub, and Watson Studio. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. 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. To end the course, you will create a final project with a Jupyter Notebook on IBM Watson Studio and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers....

热门审阅

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.

AJ

Sep 15, 2020

Absolutely Loved this course!! Challenging at times to keep up with all the terms and processes. The course provided great insight into Data Science. Would highly recommend it as your first course.

筛选依据:

251 - Tools for Data Science 的 275 个评论(共 3,790 个)

创建者 Ahasanul H

Apr 18, 2021

All the tools required for ML kick starting was explained very clearly and it helped me a lot in building the understanding of what tools need to be learnt in the field of ML and Data Science.

创建者 Juan C S G

Jun 4, 2021

G​reat course! The course gives you a good overview about the tools and technologies of data science. The course also gives the opportunity to practice in the environments of the main tools.

创建者 AckoGon

Dec 23, 2020

Provided an encompassing introduction to the variety of Open Source and Commercial tools available to conduct Data Science, and great interactive labs to get started working with those tools!

创建者 Juan M C C S

Aug 20, 2020

Es un buen curso para esclarecer cuales son las herramientas que se deben dominar en la profesión. Funciona bien como introducción practica a calentar motores para ver que es lo que se viene.

创建者 shiva k P

Dec 16, 2019

The videos in this course are outdated and the content in videos doesn't match with the reality because the videos are old and Watson studio got updated. Course content must be updated ASAP.

创建者 Evgeny V

Sep 18, 2019

Useful, quite a bit of practical. I've learned a lot of new tools and possibilities to use them for free; although based on IBM infrastructure, they're open source and may be used everywhere.

创建者 Pablo M

Jun 4, 2019

Does a good job of showing areas to obtain access to use Python, R, and Scala. You can however tell they're pushing IBM products when in reality there are many other options such as Anaconda.

创建者 Sujit K

Jun 21, 2020

I could learn how one can use IBM Watson in the entire Life cycle of Data Science and automate every mundane task which ultimately speeds up the Data Science workflow to a significant level.

创建者 Orestis P

May 2, 2020

very good structured and easy explained. most important: you can practice the basics of a (juoiter,zeppelin and RStudio IDE) lab while the instructor is giving an overview of the environment

创建者 Harsh N M

Dec 18, 2019

Great course to gain knowledge from.One must spend a good amount of time in order to learn the basic tools of data science and thus won't find it difficult to work in data science in future.

创建者 Tylar M H

May 23, 2022

Lots of great information. Seems to be an issue with accessing Watson and completing the last assignment. Instructors allow you to use a quick and easy fix by submitting it through GitHub!

创建者 Todd J

Sep 19, 2018

Another Great class. Really introduces you to new tools that out there, not just for Data Scientist to use, but for anyone that has the use for R or Python coding etc. Loved the course.

创建者 Fatih

Apr 13, 2022

It contains very useful information that can be learned on the way to be a giver. I learned many tools from creating a repository in git hub to writing a python topic in jupyter notebook.

创建者 Daniel L

Oct 19, 2019

Impressed by those notebooks or development environment, and its availability on Web; very practical to document the method used in a data study, integrating programming with documenting.

创建者 Samuel B

Feb 8, 2021

Passo a agradecer a todos os professores do Instituto da Educação pelos conhecimentos que me transmitiram e que foram importantes no desenrolar deste trabalho. Parabéns a IBM e Coursera.

创建者 Joshy J

Sep 7, 2019

Good Course. Help you understand the most used open-source tools for Data Science. It also introduces IBM Watson Studio which is the best cloud-based collaborative tool for Data science.

创建者 Thông T

Apr 29, 2020

Thank this course for letting me know there are online tools for data science, which help collaboration anytime and anywhere. It is trusted because it is from IBM, a well-known company.

创建者 Berkay T

Aug 28, 2019

Brief introduction to what cloud platforms available to execute coding in different kernels. You also get an idea on how you will be analyzing data with what sort of tools and outcomes.

创建者 Miduna K

Aug 26, 2019

Pretty nice introduction. A short course, don't expect anything too technical, but i think in a world of heavy and long MOOCs, its not a bad thing to start off with a lightweight one :)

创建者 Thomas D

Apr 18, 2022

G​reat overview which included GitHub and other tools. The final module was much more than expected, where it updated with very useful tools on IBM Watson in relation to Data Science.

创建者 TooMuchSauce

Oct 18, 2019

Introduces us to some really nice tools and also IBM Watson cloud service which has a lot of resources and IBM doing a service to the community by providing you many of those for free.

创建者 Liaquat A A

Oct 17, 2021

A very informative course which was planned and executed nicely. It included sufficient hands-on lab practice. I am looking forward to use these tools extensively as a Data Scientist.

创建者 Humayun O

Jun 15, 2020

Great Course and Great Tools assessment for further advancement into data science. I believe that tools covered were great as well as good teaching. More so to the point and practical

创建者 Sutapan P

Dec 9, 2019

Very detailed course with great videos, examples, study material and hands on lab. Also I love the concept of peer graded assignment, gives me opportunity to see how others are doing.

创建者 Sharad S

Jul 17, 2019

A very good introduction to the various data science tools. Very helpful and easy to understand even for non coders. The exercises mentioned make you comfortable with the environment.