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Avis et commentaires pour l'étudiant pour Data Science Methodology par IBM

4,249 notes
395 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! LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Meilleurs avis


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 :)


Aug 09, 2018

This is my favourite in the series, the 10 questions to be answered were mind opening. The repetition after every video makes easier for important points to stick to the brain. Very good indeed...

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1 - 25 sur 527 Examens pour Data Science Methodology

par Clayton S

Feb 02, 2019

This one is fairly painful to sit through and needlessly complex. Other sites have explained this much simpler and clearer than here

par Ozge I

Jan 24, 2019

1) This descriptions in this course are very dull. They need to be supported by better examples which do not include a lot of terminology specific to the topic.

2) The questions in the videos can be better designed to evaluate the students' knowledge about the topic, e.g., letting them apply their knowledge in new examples. Some questions are redundant such as the name of the person who designed the data science methodology or questions specific to the case study and does not necessarily provide insight into general concepts.

3) Simply reading what is in the slides is not a good use of videos and cannot keep the focus of the students for a long time.

4) This course might be located after the Python for Data Science course or even later so that the students could have a more meaningful final assignment, actually applying what they learned on a small data set.

5) Knowing a subject and teaching a subject are two different things. I hope you consult a university professor in the field about how to teach these courses. There is a lot of room for improvement in terms of the pedagogical perspective.

par Jianfei Z

Jan 20, 2019

Nothing is discussed in details. For people know nothing about data science, many topics are not explained and they won't understand anything valuable; for people already have a background in data science, the topics are useless and too shallow.

par Husain B

Jan 29, 2019

Instead of CHF the case study should be change to something which everyone can understand.

par Jiayang Z

Feb 17, 2019

The example should change to a easier one. This example is hard to understand.

par Kristoffer H

Feb 05, 2019

Quizzes quiz on material not covered in the course or directed to externally. Most of the quizzes are word games and do not apply concepts covered in the material. Everything from how disconnected the quiz questions are compared to available information provided in the course to the peer-graded final assignment show little or now effort was put into composing this course.

par Sasha M

Jul 27, 2018

Really difficult content to digest without much written information. This course needs to provide more readings and the videos need to provide more text, as opposed to relying on voice instruction.

par Lauren J

Apr 03, 2019

This was a good course. It was an overview of the entire data science process, which was helpful for me since I didn't really have a good understanding of what data science meant before this class. Now I have a much better understanding of what people mean when they say data science. Also, this class gives a good orientation for other courses; for example, I would see "data mining" courses on Coursera and not understand how that fit in with data science. Now I do. I would recommend this course for people very new at programming and data science, like me.

par Ponciano R

Feb 04, 2019

Fine for an introductory course

par Johannes

Jan 16, 2019

this course should be a little later in the IBM sylalbis

par Jennifer I

Jul 15, 2019

Very helpful information for organizing skill-sets related to topic.

par Luis A d F A

Jul 15, 2019

A little confuse or fast paced for beginers

par Balázs B

Jul 15, 2019

Give a quite detailed overview of the methodologies to use.

par Riyaz R

Jul 15, 2019

Everything is flat laid-out and easily understandable. I appreciate the good work!! :)

par Sai P B

Jul 15, 2019

This gives a basic knowledge of Data Science and explains neatly in every steps. Appreciate your efforts in putting this course in neat and expressive way.

par Anant S

Jul 14, 2019

Great use of interactive Jupyter notebooks to illustrate the Methodology! Very compelling course.

par Abdulah H A

Jul 14, 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.

par Abir F

Jul 13, 2019

Wonderful class. I learned a lot about the data science process.

par Djaber B

Jul 13, 2019

Even though I used to work with data, I found the data science methodology a must course for a future data scientist. I like how each stage of data science workflow is summarized to a wheel where each stage communicates with others in an efficient way.

par Thatipati V S K

Jul 13, 2019

Awesome course. good introduction to data science methodology.

par Abhishek D

Jul 13, 2019

Gives a good introduction to the subject and how they apply data science in industry.

par Angam P

Jul 13, 2019

Course is good for fresh beginners.

par Nay L

Jul 12, 2019

This course gives a good overview of a data science project and the role of a data scientist.

par Kevin D

Jul 11, 2019

This was a great overview of the process

par Leonardo R

Jul 10, 2019

This course provides the perfect explanation of what goes into the data science methodology. The course guides students through an in depth analysis of each stage with examples and labs so they can follow along. The course also uses the data science method to solve a real world problem that one may encounter in their career.