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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,480 ratings

About the Course

If there is a shortcut to becoming a Data Scientist, then learning to think and work like a successful Data Scientist is it. In this course, you will learn and then apply this methodology that you can use to tackle any Data Science scenario. You’ll explore two notable data science methodologies, Foundational Data Science Methodology, and the six-stage CRISP-DM data science methodology, and learn how to apply these data science methodologies. Most established data scientists follow these or similar methodologies for solving data science problems. Begin by learning about forming the business/research problem Learn how data scientists obtain, prepare, and analyze data. Discover how applying data science methodology practices helps ensure that the data used for problem-solving is relevant and properly manipulated to address the question. Next, learn about building the data model, deploying that model, data storytelling, and obtaining feedback You’ll think like a data scientist and develop your data science methodology skills using a real-world inspired scenario through progressive labs hosted within Jupyter Notebooks and using Python....

Top reviews

AG

May 13, 2019

This is a proper course which will make you to understand each and every stage of Data science methodology. Lectures are well enough to make you think as a data scientist. Thank you fr this course :)

JM

Feb 26, 2020

Very informative step-by-step guide of how to create a data science project. Course presents concepts in an engaging way and the quizzes and assignments helped in understanding the overall material.

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2551 - 2575 of 2,583 Reviews for Data Science Methodology

By Albert D

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Oct 25, 2019

I went over this information in my MS in Data Analytics program. So I didn't learn anything new here.

By Alexander Z

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Dec 25, 2019

Veeeeery basic course

No real tasks

Not up-to-date

Feels like 2002 material

No projects

No team work

By Bhavesh N

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Apr 23, 2020

very bad course, lots of text, irrelevant case study, obsolete approach, irrelevant lab tool

By Ashish D

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Dec 23, 2019

Not very usefull. Its more of a explaining an approach which is only introductory in nature

By Ounam G

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Mar 26, 2020

Uses external application which are not opening, how do we complete the course! Useless

By Ayham M A M

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Nov 28, 2019

Very hectic and confusing course...it is really from my worst courses till this moment

By osama s

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Feb 26, 2020

non useful course u wont understand anything the video is like someone reading papers

By josephtimmons

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Oct 9, 2024

I can clearly see and read my license. I've tried roughly 20 times to no avail.

By Arjun S C

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Aug 5, 2019

Any work that included working on cloud or watson studio is poorly instructed.

By mostafaabuzeid

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Dec 30, 2019

VERY BAD COURSE

Very bad instructor

materials were removed

CASE STUDY IS AWFUL

By Mukto A

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Jan 14, 2021

Fairly useless course. Better than Intro to Data Science, but that's it.

By Sebastian K

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Feb 26, 2020

Waste of time. Whole course is just a marketing campaign for IBM Cloud.

By shahin m

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Nov 7, 2019

A bit more concrete example with guided exercise would have helped more

By Nishan P

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Oct 21, 2020

Absolute waste of time. The assessment task were pretty bad as well.

By Marjorie G

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Dec 7, 2020

I expected more from IBM, It's mainly boring, please do better

By Galina M

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May 9, 2020

Too easy, not very informative, only theory and no practice.

By Anuj S

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Sep 3, 2019

Doesn't cover much details, had many errors in the videos.

By MD R H (

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Dec 25, 2022

Too much descriptive lecture and complex case study.

By francisco j a a

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Oct 18, 2021

i didnt learn anything useful for my every day job

By Sade G

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Sep 2, 2023

terrible i need to unenroll in this class

By Maulin A

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Jun 18, 2019

Almost fell asleep during the narration.

By Rafael P S

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Oct 29, 2021

A lot of bla bla bla and no practice.

By Denis K

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Aug 19, 2021

not informative, would not recomend

By maazin k

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May 16, 2020

Not good.Not worth at all.

By IQBAL H

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Apr 27, 2022

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