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Data Science Methodology に戻る

IBM による Data Science Methodology の受講者のレビューおよびフィードバック



Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand. This course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand. Accordingly, in this course, you will learn: - The major steps involved in tackling a data science problem. - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment. - How data scientists think! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....



May 14, 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 :)


Feb 27, 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.


Data Science Methodology: 176 - 200 / 1,730 レビュー

by Varun S

Feb 14, 2019

Completely helps you understand the methodology employed by John Rollins (IBM), takes the help of a case study to show you how one can practically apply the same.

by Carlos A C G

May 19, 2020

Course content is complete and to the point, the explanations and examples given are enough to expose the concept and then you can explore further on each topic.

by Sema K

Apr 11, 2020

Great course! I really appreciate all the information shared. It would be even more amazing if we exmained some data analysis reports provided by some companies.

by Mathew A

Dec 10, 2019

The methodology presented in this course for Data Science is very good logical step-by-step approach from understanding the problem to modeling and feedback.

by Daniel W

Oct 19, 2019

This course is pretty short, yet it really well summarizes the key aspects of Data Scientist's work. Furthermore, the last exercise is pretty well and demanding.

by Aditi D

Jun 24, 2020

This course has really given me a clear view of the whole conceptual process of a data science project. The basics have been quite clear and easy to understand.

by Thabang S M

Feb 13, 2020

I have learned a lot from this course even though it was tough to understand some concepts. The course is giving me motivation to study further on Data Science.

by Steve M

Jun 10, 2019

Definitely a must for beginners of Data Science (like myself). Gives a good overview of how all the major working parts of a Data Science project come together.

by Krishno S

Jun 19, 2020

Excellent Course! Very nicely designed and delivered. The Data Science course is easy to grasp and made very interesting delivery. I am excited to learn more.

by Jennifer K

Apr 02, 2020

It is helpful for me to learn the process how to do with data science methodology.

Thank you for your great teaching and quiz to help me improve my new skills.

by Steve M

Sep 23, 2020

Excellent course with tons of great information. It provides a great step-by-step review of the methodology while still keeping things somewhat challenging.

by Ajay S P

Feb 01, 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

Jul 07, 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

Nov 03, 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 Alessandro S E

Jan 02, 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 Jose M

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

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

Jan 07, 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

Apr 18, 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 Clarence E Y

Jan 04, 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 Lakshminarayana D

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

Sep 19, 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

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

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

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.