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Open Source tools for Data Science, IBM

4.6
4,537 calificaciones
563 revisiones

Acerca de este Curso

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, RStudio IDE, Apache Zeppelin and Data Science Experience. 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 Cognitive Class 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 Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Principales revisiones

por SH

Feb 01, 2019

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.

por TJ

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.

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553 revisiones

por Siddhartha Patra

Apr 20, 2019

Very outdated course. Atleast they could have updated the videos to match with entirely new layout of IBM Watson Studios or Cognitive Class Lab. Even the information provided was very minimal with proper background or context to them

por Guy Bilitski

Apr 20, 2019

It is a great course,

sometimes I found myself lost when I don't realize the rule of what I learn to the data science world in general

por Humayun Ahmed

Apr 20, 2019

need to explain what we will learn from this week materials and quiz.

por Allison Embree

Apr 20, 2019

Links and screenshots are badly in need of being updated. I had to find my owns way to sign up for IBM Watson, and it still took over 24 hrs for me to get my login verified. Then when you are finally signed up, the video tutorial isn't relevant because it's not the latest version of IBM Watson Studio being discussed.

por Nicholas J Feliccia

Apr 19, 2019

This is a good course, but they really need to update the screen shots to be up to date with IBM Watson Studio.

por Hardik Patel

Apr 18, 2019

Lot's of discrepancies between videos and actual interface

por Ayushi Goel

Apr 18, 2019

Very well explained and documented

por Kefang Annie Yu

Apr 18, 2019

It is very useful to know the IBM cloud platform and practical. The cloud platform is very complicate and may do many things. It looks like a forest for me.

Some videos is old interface. If there are step by step instructions, it will save me some time to quickly start. Assignment is easy, but take time to get used to the environment and to know where am I.

por Derek Adam

Apr 17, 2019

I don't think this course is any good at all. It crams all the different workstations at you giving you tasks to do in each one. Without actually building projects or seriously using these workstations, by the time you need to use them for a project the retention on how do navigate and use them are going to be low. I have totally forgotten how to use RStudio and what Spark is and I am on course 5 of the IBM cert because it hasn't been used since this course. I believe in a stand-a-lone when I need to refresh, this will be good to go back to but seems kind of pointless in the beginning of the Data Science IBM cert.

por bofinbabu

Apr 17, 2019

Needed more exercises.