Chevron Left
Back to Data Science Methodology

Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,414 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.

Filter by:

2526 - 2550 of 2,571 Reviews for Data Science Methodology

By Miguel P

•

May 4, 2020

The course is really theoretical, it uses really bad and iterative examples that does not help to understand the processes and the case studies use really complex code that it is imposible to understand unless you already know coding.

By leonardo c

•

Dec 6, 2021

IBM should be ashamed of issuing such a patchy-mess up and chaotic material using its brand. Google data analytics course is way better in case you want to actually learn at leas something regarding data analysis / data science.

By genesis v

•

Apr 29, 2022

i couldn't do any of the interactive moudels. when I looked at the forum, other students had my same problem. I completed the course without actually doing the coding which willnot help with the future courses.

By Mathias T

•

May 9, 2022

So far, this course is the worst of the entire program. The individual videos are not instructive and also poorly presented. The final assignment is difficult to complete due to the poor instructional videos.

By Torrell W

•

Nov 21, 2023

Examples used can get confusing as those with no relevant background in the medical space can easily get lost. recommend using a more relatable, easy to follow example that conveys the same concepts.

By Sajal G

•

Jun 7, 2024

Video lecture series are really bad. Just a computer speaker reading a ppt out loud. no sense of understanding for the user. google courses are a lot better than this.

By Tihomir T

•

Jan 14, 2022

Compared to the previous courses, this one didn't really match the standards, it's a very important topic and the course is done not professionally at all

By Jan D

•

Oct 5, 2018

Don't take it. No Course Instructors, no help. Not worth the money...

Even the Working Platform is always timing out or has a gateway error.

By Lucio M

•

Nov 9, 2024

Off course interesting, but it could be summarized in like 5min video in my opinion. I think users looks for more practical assignements.

By imran k

•

Dec 12, 2019

Most of the content is in coding and hard to understand. There is no description given with coding so not easy to understand.

By Devendra K T

•

Jan 8, 2023

I don't like peer assigment & review system because it gives other my idea , they can copy my idea and label as their own

By Harsh S

•

May 20, 2020

Examples in the course are very difficult to understand. Had to google everything that was being taught

By Diego R G

•

Mar 19, 2020

Very poorly designed course. None of the labs work! Get ready for frustration if you take this course.

By Albert D

•

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

•

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

•

Apr 23, 2020

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

By Ashish D

•

Dec 23, 2019

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

By Ounam G

•

Mar 26, 2020

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

By Ayham M A M

•

Nov 28, 2019

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

By osama s

•

Feb 26, 2020

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

By josephtimmons

•

Oct 9, 2024

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

By Arjun S C

•

Aug 5, 2019

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

By mostafaabuzeid

•

Dec 30, 2019

VERY BAD COURSE

Very bad instructor

materials were removed

CASE STUDY IS AWFUL

By Mukto A

•

Jan 14, 2021

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

By Sebastian K

•

Feb 26, 2020

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