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IBM 기술 네트워크의 Tools for Data Science 학습자 리뷰 및 피드백

4.5
별점
24,435개의 평가

강좌 소개

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....

최상위 리뷰

ED

2022년 8월 14일

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

GC

2020년 4월 12일

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.

필터링 기준:

Tools for Data Science의 3,927개 리뷰 중 251~275

교육 기관: Ebenezer O D

2022년 8월 15일

I love the detailing of every aspect of this course. The Labs, the free subscriptions and free trials provided by IBM Skills Network, everything has been so amazing. Thank you Coursera, thank you IBM.

교육 기관: Deleted A

2020년 7월 24일

ONE CAN ACQUIRE BEAUTIFUL KNOWLEDGE TO THE TOOLS USED BY DATA SCIENCE COMMUNITY ALONG WITH APPLING THEIR SKILLS ON PRACTICAL ASSIGNMENTS AND PROJECTS ON THE USEFUL PLATFORMS ,

ITS WAS A NICE COURSE .

교육 기관: Giulio C

2020년 4월 13일

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.

교육 기관: LALIT K

2020년 8월 30일

This course is awsum and well explained. Some portions needs to be updated based on the current platforms. i.e Lab instructions should be inline with the current screen, e.g. Watson Studio.

Thanks !

교육 기관: Mari-stella

2020년 3월 1일

Good to overview web-based data analyzing tools like Jupyter notebook, Zeppelin notebook and R studio IDE by getting access to virtual environments like Skills Network Labs and IBM Watson studio.

교육 기관: Ahasanul H

2021년 4월 18일

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.

교육 기관: Juan C S G

2021년 6월 4일

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.

교육 기관: AckoGon

2020년 12월 23일

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!

교육 기관: Juan M C C S

2020년 8월 20일

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.

교육 기관: shiva k P

2019년 12월 16일

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.

교육 기관: Eugene V

2019년 9월 18일

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.

교육 기관: Pablo M

2019년 6월 4일

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.

교육 기관: Sujit K

2020년 6월 21일

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.

교육 기관: Orestis P

2020년 5월 2일

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

교육 기관: Harsh N M

2019년 12월 18일

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.

교육 기관: Tylar H

2022년 5월 23일

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!

교육 기관: Todd J

2018년 9월 19일

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.

교육 기관: Fatih

2022년 4월 13일

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.

교육 기관: Daniel L

2019년 10월 19일

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.

교육 기관: Samuel B

2021년 2월 8일

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.

교육 기관: Joshy J

2019년 9월 7일

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.

교육 기관: Thông T

2020년 4월 29일

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.

교육 기관: Berkay T

2019년 8월 28일

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.

교육 기관: Miduna K

2019년 8월 26일

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 :)

교육 기관: Thomas D

2022년 4월 18일

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.