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Avis et commentaires pour d'étudiants pour Data Science Methodology par IBM

16,935 évaluations
2,065 avis

À propos du cours

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!...

Meilleurs avis

13 mai 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 :)

26 févr. 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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101 - 125 sur 2,065 Avis pour Data Science Methodology

par Ramya D N

30 avr. 2020

Its really a nice course. If you want to become a data scientist you first understand the basic things. and this course will definitely help you to understand that. Take this course and understand how to approach a business problem and solve it in an efficient manner. Thank you

par Nita A

12 déc. 2019

Was a fun and interesting course. Got to learn about all the stages of the Data Science Methodology from problem question to be answered to modeling to evaluation to deployment to feedback. Enjoyed the case study, labs, and final assignment. Can't wait to start the next course!

par Jurom N

21 janv. 2020

The course on Data Science Methodology was sufficient enough to understand this lesson given its examples, scenarios, explanation in each methodology stage, etc. The expectations of learning were also clear and personally, my memory retention is high after taking each course.

par Daniel F

23 avr. 2020

Quite good, detailed but clear. The Jupyter notebooks provided are excellent and make me want to learn Python because it is a powerful tool for turning data understanding into workable data. The case study is helpful for context. The assignment really requires you to think.

par Benjamin S

25 mars 2020

This course is simple yet important for data scientist wannabes. It provides you with important stages of a complete project. Personally, like the effort in the extra lab material, deepening what we have learnt. To improve, I hope to get more toolkits in analytics approach.


7 mars 2020

This course introduced me to the Data Science Methodology in a very good manner. The best part was hands-on lab experience. And the last assignment really helped me to collect all my learning and implement it. It was really a very good experience. Thanks Coursera and IBM.

par Raksha S

3 avr. 2020

Amazing learning experience! The course is taught with a simple analogy to cooking, and it makes learning more fun and relatable. Also, the Assignment is a great way to get a good platform to put on our thinking caps and experience the entire Methodology cycle ourselves.

par Zhari C

6 mai 2019

I am learning so much! Glad to have the opportunity to learn at my own pace. This course is laid out beautifully. If I could change one thing it would be to have updated slides and photos of IBM Watson, not the Data Science Experience. The screens do look very different.

par Saurabh D

29 juil. 2020

Provides an excellent understanding of various steps within Data Science project. All the videos are very good and describe the concept in a simple and easy way. I liked the analogy between cooking, recipes, ingredients and corresponding steps in a Data Science project.

par Luis G

2 sept. 2020

This is a compact but informative course that embark the learner into the methodology to successfuly conduct a data science project based on the business requirements and outlines the tasks in each step every professional looking to get a job in this field must follow.

par Ruhul A

27 mars 2020

Awesome, just what is need for a good and strong background for a perfect Data Science project methodology, need not be only data science this is universal in nature for all kind of business problem. Very well drafted and made topic with good list of course flow

par Badal S

21 mai 2020

If your a beginner to the data science or analytics stream then this is the best course to understand where and how this field plays an important role in solving real-world problems that we otherwise not possible. or very complex. I really enjoyed this course!

par Danesh T

24 avr. 2020

Wonderful Experience of exploring the data science course and in this i learned about the method and process or procedure for certain problem using the data science tools like the IBM cloud in the watson studio to enhance the experience of IBM cloud .

Thank you

par Gustave M

22 mai 2020

This course is one of the best courses I have taken so far. The breakdown of data science methodology can be used in many cases. For example, I thought about how this course would have helped even during my thesis writing work in graduate school. Well-done!

par Leanna W

17 oct. 2018

Excellent course! The approach is easy to following and has a proven track record for solving business solutions. I highly recommend this approach for anyone that want to learn more about Data Science or for anyone interested in becoming a Data Scientist.

par Roney J

13 sept. 2020

This course is an excellent demonstration of several actual data science application. It gives a detailed idea of life-cycle of a data science project. The case study may seem complicated at first but the labs included in the course gives you better idea.

par Joseph K

21 mai 2020

This is the best course I have taken yet in the Data Science family of courses. John Rollins, descriptive Data Science and CRISP-DM methodologies are very useful to not only logically lay out a process but takes into consideration human behavior as well.

par Евгений Г М

29 mars 2020

The course is useful primarily for its systematization of all approaches in data science. A step-by-step development of research is demonstrated, starting from the statement of the problem and ending with the found solution to the problem. Useful course.

par Alexandra H

2 janv. 2021

While being familiar with the process of research methodology I did very much enjoy learning the data science terminology associated with it. The only issue I ran into with the particular module was that the instructions for the labs were out of data.

par Jeff L

23 janv. 2020

It's really a lot of information than I expected, but it is certainly helpful for helping me to further understand data science. My only suggestion is to include more explanation to the code in the labs to make it easier to interpret for the students.

par Bibhu A P

5 nov. 2019

The methodology was really great. Though this is somewhat a modified version of the CRSIP-DM methodology being used in Data mining. The labs were wonderfully set up to understand the topic. The case study was the most interesting aspect of the course.

par Raphael N

4 mars 2019

This was one of the trickiest courses I have taken yet. I have had to re-read the documents and watch the presentations to get the concept clearly. I highly recommend it to anyone willing to be patient to understand the under-workings of data science.

par Juan M H T

11 déc. 2020

This is not a general overview, it's a complete scann to Data Science Methodology that allowed me to see the complete development of a Data Science project with the usage of the tools and intervention of roles previously reviewed in the past courses.

par Marat M

30 oct. 2020

Very interesting and useful course. Final project is also very useful, since it allows to apply immediately the learning skills creating a new brief data science project. I am very impressed by this course and I would like to thank the instructors!

par Louis C C I

29 déc. 2020

Its a great introduction to the data science methodology. The only thing I wish is that they go a little bit slower in the videos. They're talking about something and I'm reading the slides and then it just shifts over to a new slide fairly quick.