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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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176 - 200 of 2,583 Reviews for Data Science Methodology

By Sérgio L

May 27, 2019

This course gave me a very important and useful framework, as I've been working with data analysis for more than ten years without any methodology to rely on. It is definetely necessary for whoever wants to deal with data analysis.

By Lucas F M

Jan 15, 2021

Very nice review of the steps needed to develop a project in Data Science. It may not be too much of a surprise for people who have a background in Science, but it still well put together and interesting. Nice case study included.

By Kwadwo A

Nov 21, 2020

My first time ever using Coursera. I feel justice was done to the topic. It was very detailed ad enjoyed each day i reviewed the resources on this topic. Thank you for such a platform. Looking forward to completing future courses.

By Fred R

Dec 18, 2019

A very clear and instructive introduction to the Data Science process, from business question to results, with a very pedagogic explanation of all the stages in the process and the specific problems that characterize each of them.

By Zabihullah B

Dec 31, 2019

Satisfying with the materials provided but the issue is the example used in lectures. It is better to find some common examples to be understandable for all fields of studies rather than talking about patients and medical things.

By Louis

Sep 23, 2019

Very good! Would be interesting to go deeper and apply the whole data science methodology to a real case, write the code and detail deeply each step. I am searching exercises online to practice similar to real business scenarios.

By William B L

Mar 13, 2019

The methodology presented is robustly presented, with detailed descriptions of each step, the relation to those steps around it, the progress made at each step, and what is handed off between steps. I would strongly recommend it

By Yukihiro F

Sep 4, 2024

Simply wonderful. The calm, real voice of a subject-matter expert is incomparable to synthetic voices or the overly fast speech of actors. The videos, readings, Jupyter notebooks, and the final project are all carefully crafted.

By Abilio R D

Nov 18, 2019

Excellent course. The data science methodology learned in this course can be used to solve any problem present by one stakeholder. This course topic is the foundation for any one that would like to become a good data scientist.

By Dai V

Jul 31, 2021

I think this course is really useful for me since I can have an overview of the Data Science Methodology. Also, I can gather and apply my knowledge in this course in a specific case (which includes in the Peer-Assignment).

By Alfred A

Aug 2, 2022

I am glad to have learned the step by step methodolgy with concrete examples. It iwas faster and easier than I thought. I would recommend the course for any beginner in Data Science who hopes to become a professional one.

By Francisco B L

Feb 1, 2019

This is the best Course in the Data Science Specialization so far. Not only does it structure the approach to tackle probles in Data Science but the Labs also gie you a very good idea on how powerful the tools are. Great!

By Atmaram K

Oct 7, 2023

The content of the course is very nice. But top on that one thing that I liked the most is the structure of the course which binds the learner to stick with course and complete the course in interactive manner Thank You

By Vivek k

Jan 2, 2020

This course will help you to learn new skills like data science methodology using the various type of examples. This will help you to understand all methodology which is important in data science. I enjoyed this course.

By Alexandru F

Jul 23, 2019

A great overview of how a data science project takes place from inception until it is put into real life usage. Bonus point for the emphasis on the iterative aspect of the work put into delivering a successful solution.

By Giang T

Feb 24, 2020

Great case study and detail knowledge of methodology to understand business and problem, methods of data requirements, collection, preparation and so on. However, some tiny issue with the lab work such as delay output.

By indrajit g

Nov 23, 2019

The most important stage and concepts to dive in data science are clearly explained especially with the lab works which helps to understand and one must always know these to dive deep. thank you IBM-coursera platform

By belachkar a

May 28, 2020

A very good course to get the Data Science Methodology:

Business Understanding, Analytic Approach, Data Requirements, Data Collection, Data Understanding, Data Preparation, Modeling, Evaluation, Deployment, Feedback.

By Olawale “ F

Aug 14, 2019

This is a wonderful course that opened my eyes to Data Science Methodology. It is similar to the process of Data Analysis of survey which i worked on recently. I will definitely look at ways to re-use this knowledge

By Fabian T J H

Aug 13, 2021

Had a basic understanding of what data science is but going through this course, it solidifies my understanding on what are the steps taken in a data science project and I realise how important each step is.

By Maarten d G

Aug 27, 2020

This course comprehensively explains the data science project cycle. yet remains crisp at all times. The final assignment demands direct application of the learnings from the course and reflects it very well.

By Sagarika S

Jun 14, 2020

Amazing course! This course taught me many things and how we can solve any problems related to any industries using data science. Thank you to all the instructors for providing this course in a amazing way...

By Portia T J

Jan 8, 2020

The course is very helpful. But I think the case study of hospital add complexity to the theory. If they can just use some normal business as case study, it might be better. But otherwise, I like this course.

By Usman N

Mar 20, 2019

This course teaches you the data science methodology which is very iterative to ensure to get intended answers to your problems. And the amazing thing is that the course really simple and easy to understand.

By Yedhu K V P

Oct 22, 2018

I got to know the overall data science methodology cycle. I also loved that I could get some practical knowledge by trying them out in Python. I absolutely recommend this to anyone who's new to Data Science.