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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
20,367 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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276 - 300 of 2,569 Reviews for Data Science Methodology

By Ajay S P

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Feb 1, 2020

Change my perspective towards the data science.

Before starting to step in towards data science every individual should understand its methodology completely.

By Harish K N

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Jul 7, 2019

Awesome course! Thanks for putting together this wonderful course. Well prepared labs, and some informative discussions in the forum are the additional pros.

By Aditya C

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Nov 2, 2018

Didactic course, supported with the assignment to conclude, gives you an understanding of the data science methodology, meticulously. I'll give it a 5-star!!

By Alfred D H

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Aug 26, 2021

A good primer in the steps a Data Scientist needs to follow to answer the questions developed by the Business using data made available for post processing.

By Eric C Q

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Jan 25, 2022

Me gustó mucho el contenido del curso, sobretodo porque en forma paralela a la teoría, se expone un caso de estudio práctico que refuerza el entendimiento.

By Aditya S

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Sep 20, 2021

By studying this course I can find out step by step processing carried out by a data scientist from the beginning of the project to the end of the project.

By Dalana O

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May 3, 2021

I learned a lot about the data science methodology, I really liked the final assignment, it was helpful to put together the Methodology in a business plan.

By Alessandro E

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Jan 1, 2020

It was a challenge for me to get on with the tasks and especially to understand all the concepts. But I believe it will be of great value to my profession.

By Mohammad A

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Mar 26, 2022

good course, you will learn a lot about the methodology and the steps that you must follow when working on data science projects to ensure the best result

By Jose M

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Oct 19, 2020

This course with you a good base to build your career as a data scientist. A follow a methodology is a must in order to success in every job. Nice course!

By Muzahidur R

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May 30, 2020

It was a short course focused mainly on the steps of a data science procedure. All the 9 courses of IBM Data Science Professional Certificate is valuable.

By Dinara K

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Jan 7, 2020

Very interesting course with lots of case study examples, with great lab works. Course gives opportunity to understand the methodology of the Data Science

By Sadiq S H G

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Apr 17, 2019

A very wonderful course filled with interesting information. I would like to thank IBM as well as the Coursera platform as well as the course Instructors.

By A J

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Dec 7, 2020

The IBM Data Science courses are perfect for those who are starting out in the data science field or looking to build their skill set.. Highly recommend

By Clarence E Y

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Jan 3, 2019

This course is rigorous but well paced and valuable to get a modicum of understanding about how data scientists work and collaborate with business teams.

By Katarzyna P

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Sep 15, 2023

You have full time flexibility with this course, but to get your grade you need to find someone who will revie your submission - use discussion forum...

By Lakshminarayana D

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Sep 13, 2019

Great Learning in understanding the step by step process from business understanding, analytics approach to modelling, evaluation, deployment, feedback.

By Myles M

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Sep 18, 2020

Great course, very well thought out. This course is very clear about the learning objectives and makes sure you really lock in the learning objectives.

By Lawrence B

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Jan 25, 2019

I am enjoying the course very much. I would like to see a reference book to download or content to easily look at to follow certain code, and apply it.

By Toan L T

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Oct 15, 2018

Great job at introducing the Data Science Methodology.

The case-study and interactive labs really help illustrate what the lessons is about in practice.

By Vincent L

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Sep 13, 2018

Great as an intro to data science, giving us a structured approach from the start.

I would detail the steps more formally in the Working with Data part.

By Sandra S

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Sep 6, 2024

Very good structured course that will give you a detailed and comprehensive step by step approach to business problem solution. I highly recommend it!

By Sesha C M V

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May 2, 2020

Course is very helpful to understands the how to go with analytic approach through methodology.

It good start for the any data science and AI aspirant

By Shikha T

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Sep 8, 2019

Course describes various steps followed for Data science projects with quite practical reasoning, and understanding.

Highly recommended for beginners.

By Aymane N

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Dec 27, 2022

Very informative, first module where I truly learned new information. The notebook were really well made and showed how data science really is done.