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Learner Reviews & Feedback for Data Science Methodology by IBM

4.6
stars
19,899 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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1651 - 1675 of 2,503 Reviews for Data Science Methodology

By Pradeep K S

May 25, 2020

5

By James Y

Jan 28, 2020

P

By Samuel W J

Apr 25, 2021

First, I would like to thank everyone at IBM for putting this course together. It’s like ordering a meal at a famous, beautiful, expensive restaurant. The customer orders the food and then they get what they ordered. However, they didn’t see and hear Gordon Ramsey in the kitchen and the fight it took to bring the best dish to you. When we as students come to the course, everything is already prepared. We don’t see the hours of hard work and extreme attention to details that go into it. So thank you all for what you do behind the scenes. I’ve learned a lot so far and I really can’t wait to keep going. In this course I really like the simple approach it took in the beginning and the illustrations and comparisons to cooking. It made it really easy because who can’t identify with wanting to have a good meal? Hopefully I can add a small touch about what I’ve observed to the vast knowledge of IBM. In the course, it was explained well what the data methodology is and then how that knowledge was applied in the case study. However, it was difficult to understand why that knowledge was applied the way it was. It felt like a math equation was shown on the board and then right after that, the answer was shown, but what was missing was the steps in between of why that was the answer. Another part that made it difficult to fully comprehend was the labs. I was looking forward to actually working with data, but everything was already there and it felt like the answers were shown to me without helping me understand why this conclusion had been reached. It’s easy to pick out things to work on because nobody is 100% free from flaws and really who am I to attempt to suggest anything to an industry that doesn’t need my viewpoint? I do hope that this was received well. This course still was a very hearty meal and left me wanting more. I look forward to the next course! Thank you again for all of your hard work!

By Lauren B

Sep 17, 2023

The overall content was interesting and helpful in understanding the steps a data scientist would go through when taking on a new project, but I had some issues with this course.

Many of the videos did not have a transcript which impaired learning and made taking notes much harder. 

The quizzes had questions that were confusing and whose content was not covered explicitly in the course.

The lab code did not work in the virtual environment - I hadn’t had an issue with this until this course and I noticed that many other students posted in the discussion forums with the same problem. 

The lab open ended questions were not well thought out or intuitive - the “correct” answers to these questions seemed out of context and was not taught in the course content. 

This is the first course in the IBM Data Science Professional certification where the video screens had different content than what was being said in the video lecture. This makes it very difficult to know which information to take notes over and what is or isn’t important. It’s much more helpful to have the slides match the transcript to avoid confusion and make the learning experience easier. You cannot take in a slides information AND listen to someone saying something different at the same time - ineffective. 

By Juan M C C S

Sep 29, 2020

You have to stress more the importance of this module. It is the one that really makes a person Strat to think like a data scientist, to understand the ration between the different components of the elements of the field. Also, I found that there is little explanation about confusion matrixes in this module or before hand, and those are really important. Finally, the applied tasks where excellent; but the final assignment was far more difficult than what the individual tasks prepare you for. There is a lot of additional learning one has to do on the side to really deliver. It would be nice to have a suggested study extra material, I personally used Kaggle of my own decision, if it was not for that I would have been overwhelmed by the final assignment or would have presented something very poor which I might not have really understood. So a guide for extra studies in order to reach the skill requirement to match the difficulty could be awesome. I don't know, maybe I'm just a nerd jajaja.

By Volodymyr M

Mar 11, 2020

This is the first course in "IBM Data Science Professional Certificate" which seems to be useful. Unlike hand-on courses, which present tools, methodologies and technics, this one gives a solid overview of Data Science problematic areas and describes successful real-life Data Science project.

Let's say, tools, technics, algorithms are related to tactics, while this course presents strategy. Both are equally important for problem solving.

Excellent tactics without strategy becomes a waste of electricity, disk space, time and money with only partially useful results. In fact, one may create a good classification models just to qualitatively prove known things, but these very good and precise numbers won't help you to resolve business question being asked. Excellent strategy without tactics is even worse - one may know where to move, one may know how to move, but is not able to perform even a single practical step, because execution is compromised.

By RAJENDRAN B

Jan 28, 2022

Concept wise, the course is good. Case study wise, case studies should be more understandable with clarity. The dish is based on Japanese. There can also be another example for case study taken, as the domain knowledge here is related to catering. I guess there are no students with catering base.. haha. Atleast some other example case studies in the domain of IT or banking can be given. There should be more explanation on descriptive analytics also along with case study.

Also the Final Exam Rubric should be more assessing. From 3 marks there is no 4 marks for the last qustion. Its either 0 or 3 or 5. All 5 stages are mentioned in last question, for which good explanation should be given. But most explanations given by peer students are quite irrelevant, even though they have mentioned the 5 points. So there should be 4 marks provisioned for partial answer with all 5 stages mentioned.

By Abdulah H A

Jul 13, 2019

Some terms are being assumed to be known for the students. It would be better if the videos are more interactive in which a real person is being shown while explaining with supporting graphs and pictures and numbers. Some methods are being used in the case study like the decision tree which to some extent is not fully explained how is it the best method and what would happen if another method had been selected instead. Some graphs and pictures presented in the videos should be available in a different section for later used such as the diagram of the Data Science Methodology under a section designed to provide the students with additional materials.

By idrees k

Aug 17, 2021

Overall good experience, but would recommend including some notes/slides at the end of each week, so that a student can can prepare more easily for the quizzes and assignments. Also, please focus more on the mathematical explanation rather than just giving a theoretical explanation for everything. For instance, in the hands on lab, I had a hard time determining what is the input data and what are the labels for a decision tree model. Also, the data formats are not properly explained like what is .csv format, how to access elements of it and how to play around with it in general.

By Deleted A

Jul 11, 2020

Having a manual guiding you how to proceed is always a big relief. And this course does exactly the same. It gives you a manual (methodology) using which you can unearth the questions you seek answers to and systematically complete the objectives for which you seek Data Science's help. Filled with examples and labs, this course, to a large extent, takes you to the journey a Data Scientist takes while solving a problem. Steps involved in Methodology owe a bit more elaboration though, this would give a better experience to the learner. A great course overall, loved it!

By E. R " A

Sep 19, 2019

The Data Science Methodology course was exceptionally well done. It was served up in bite sized morsels that were easy to ingest. In fact, they were so tasty, one would often find oneself going back to take another bite or two! Delicious and cognitively nutritious!

I believe the Data Science Methodology is crucial to leveraging the advantages of Big Data, Artificial Intelligence, and Automation as we driver ever headlong into "The Age of Cognivity!" Not a lecture, just an observation!

By Gábor T

Jun 7, 2020

I think the methodology could be more detailed, this was only the surface - basically methodology 101. We could've learned more during the Lab assignments, but we don't understand Python yet, so it wasn't that useful, I think. Completing the final assessment was not easy either, because we needed to come up with an own idea and problem. That would work if we had a deeper understanding of the methodology. Otherwise I suggest to give a predefined case study and problem to work on.

By Princess O

Jan 16, 2022

The course was interesting. It was a bit technical as there were some python applications in the lab works and since i had no prior knowledge of python, i was unable to understand the function of most of the codes. Also most of the terms were quite technical and not properly explained in the case study. This made the case study a bit difficult to follow. I suggest that a simpler example be used that can be easily followed even though one does not know many terminologies.

By MAYUR V

Jul 9, 2023

A very informative course on the Data Science methodology that should be used. I learnt a lot from this course and am confident to say that I want a clear understanding of what a person on the Data Science team in a given company must focus on, how one should go about to provide answers or useful insights for the stakeholder's concerns. However, I found the course work to be a little unstructured and confusing to follow at times. Overall, a very informative course.

By Michael S

Jun 15, 2020

Great course except for the quizzes. The quizzes sometimes focus on arbitrary moments from the videos, to make sure you were paying attention, rather than asses the practical, applicable information you have retained. And then you can take them multiple times which defeats the purpose of even making sure we are paying attention! They should either get rid of they quizzes altogether, or make them better and place a more strict limit on the number of attempts.

By Dr. M C

Mar 22, 2021

This is a great course with many lessons presented in videos that are easy to understand. The course provides the framework for data science methodology. Although easy to understand, moving from concept to practice can be challenging. For me, the challenging part was finding more information and examples of the descriptive (diagnostic) models. To maximize one's learning in this course, one must be prepared to do some searching to find appropriate examples.

By Mensah D A

Feb 9, 2021

My honest review: This course has a lot to teach, really. Personally I had to watch videos and read the articles, practice the labs more than once (Maybe because I didn't do it all at once). There is a serious stuff going on in this course at least in my POV. And yesss after having completed this course, I now have a better idea of how to proceed for a data science project.

Although I'll have to go through it some more times just to master it fully.

By niraj d

Feb 5, 2020

This course Data Science Methodology is definitely very important and useful part for becoming a Data Science but the content used in the module were a bit complex as the case study (Hospital related case study) used in the module was a bit difficult to understand because of its technicality. Maybe a normal FMCG company or a Fast Food outlet related case study would have been easy to understand. However overall the course was very good and useful.

By Erika L

Mar 16, 2022

The course structure is good. But please fix IBM Watson Studios' issues. It always doesn't load correctly and you always have to waste hours checking forums on how to fix it. The fixes don't usually work correctly. Even if you clear cache, cookies, use incognito, it still doesn't load correctly. Also, please fix issues in the labs, some codes that you're not meant to change are showing errors, so again, you have to go to forums to look for a fix.

By Amber B

Nov 25, 2018

The videos for this course are a little tricky to engage with and the examples are messy and difficult to follow. Perhaps there is a better strategy to teaching the methodology. At the very least for this particular course in the IBM Professional Certification it might help to include a summary video that puts the entire methodology into use in a single video from start to finish so that visual thinkers can have a better handle on the concepts.

By Amy H

Jul 1, 2019

Very good course on the methodology behind Data Science. Some of the quiz questions were worded strangely and were slightly misleading, based on the information from the videos. Overall, it's really great to have a course like this that shows you why data scientists do what they do and why each step is important. I also really liked the case study used, which helped to highlight how these methods would be used in real world scenarios.

By Prajwal U

Jun 1, 2023

It was a very informative course; in this Course, the instructor has how one should solve problems with data science while collaborating with stakeholders and why Data scientists should take it slowly while finding the solution. Still, the voice and Explanation of the instructor is very robotic and not pleasing for hours of listing and understanding. I had to look into the course comment section for the proper notes.

By Justin D

Mar 26, 2021

Very well structured and thought out with great real world studies (both in videos and in python notebooks) to help understand each stage of the data science methodology introduced. Videos could be a tad longer, i feel some of the graphics on the slides were busy and could be better explained. Overall though, great introductory course! Makes you hungry to learn more to execute these stages, especially with modeling.

By Carlos A S

Jun 10, 2019

I think that the course was kinda hard to understand. I don't know if the Case Study is an ideal one to understand how the Data Science Methodology, specially when you have differente backgrounds such as the way the health systems may work in different countries, I rate this 4/5 because I found the course really important to learn but it is way too challenging to understand in contrast with the other courses.

By MINGHUI G

Mar 10, 2024

Very good content regarding the 10 stages of data science methodology and good case study examples. Only problem is the lab part; some statements/directions such as type "Shift + Enter" makes no sense to me. While I was able to download the data, I don't know how to run them according to the directions. I feel the directions need update to meet beginners or people with no much experience.