Alex Aklson
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.
Instructor Details
Courses : 7
Specification: Data Science Methodology
|
104 reviews for Data Science Methodology
Add a review
| Price | Free |
|---|---|
| Provider | |
| Duration | 7 hours |
| Year | 2018 |
| Level | Beginner |
| Language | English |
| Certificate | Yes |
| Quizzes | Yes |
Tyler C –
I would have liked more explanation on what the code was performing, however I assume that also comes later. Otherwise, it was a good overview of the workflow leading to answer questions with machine learning.
Nigel D –
I really enjoyed the information in the course. Despite having all the information necessary to pass, I do not feel like the course went into enough detail on some of the topics in order to make them understandable. I think this course should be more in depth than it is.
Firda S –
I think the case study is too hard to understand. The analogy using cooking it’s good, however, the case study using hospital problem it’s really hard for me to understand. Maybe it could improve if it’s using like general case study that everyone would understand.
alejandro m –
Great course. Great videos and learning skills
Veretennikova Y –
It’s quite clear and interesting course. What lack is a reference to additional reading to give more overview about the subject.
Ernest K –
Very interesting and helpful course, for beginners in Data Science. Must to know knowledge
Sorakrich O –
Great course !
Hannah H –
I think the course material was perfect. The final assessment could have been better, though. The way of giving answers and feedback can be improved. If you divide each phase of the project in a separate question, and enable peers to give feedback on each answer it would be better. Thanks! Keep up the great work.
Alexandre d C P –
This course really helps to understand how to work data to find the cause of the problem. Tks very much
Lorena G –
I think is necessary to give more text to read and complement the videos
KU B K –
The case study is a bit hard to follow and the explanations are bit too general.
YANG C –
P
Nicholas J –
Not very useful at all
Anthony S –
Interesting course. This is the third course in the series and it set a good foundation.
Ankit S –
I liked the content of this course. Data Science methodology is explained in a beautiful manner
Saagar M –
A good course indeed !!
Phuong A N –
It is very clear and easy to understand
Tom H A L –
This course would benefit from more real life examples, and more time spent on an overview of the methodology prior to looking in depth. How the stages would be applied is not explained very clearly. Having completed this course, I am not completely confident in my knowledge of the contents.
Richard B –
Less than a minute after summiting my Final assignment it came back with peer review that was disappointing. I describe every data science methodology stage and the feedback for that section was that I describe some of the stages but no all.
Jose A Z M –
Interesting and usefull! 🙂
Juan C C –
I hungry for knowledge, this course give me a good reason to be more hungry!
SAMIR B –
The course is brief , yet complete. It explained the all stages in methodology with equal importance.
candi r –
the lab can be improved
Hossein M –
Descriptions are too short and not in depth.
Stefano G –
Concepts are well explained. Case study is instead confusing and requires additional knowledge and experience (i.e.modelling section). Sometimes topics are repeated in different sections making it difficult to understand if a task should be completed in a phase or in the next one (i.e. training sets are repeated in both data preparation and modelling). Lab is not so useful, because it consists in executing python code without a complete understanding. This course is fundamental to understand the methodology for data science, however I had to look at the videos multiple times to get an overview and I still feel I’m not familiar with it.
Ajay S P –
Change my perspective towards the data science. Before starting to step in towards data science every individual should understand its methodology completely.
Adeyemi O O –
I thoroughly enjoyed this module and will go back to reread it several times over. This is the foundation of everything I will be doing in the future. I want to be grounded in it.
Amine J –
Not enough examples and the videos were running fast and not really explicative
Angene B –
Find it to be a bit boring.
Elena N –
I’m absolutely excited!
Anamika P –
This course has been one of my favorites. It really gives you an insight into the real world problems.
Sahil R M –
Great COurse
Ngoc T S N –
video clips of IBM Watson interface need up to date with its current version
Awoyomi T –
Great course
Erickson F –
Great!!!!
Raymond K C –
It helped me to understand the methodology used as a data scientist.
Jeffrey S –
Good course. Its important to understand the methodology behind any science. This does a good job covering that.
Fedrizzi E –
The methodology presented is useful, and can be a good reference for those new to the subject. However, it is not always clearly explained, and as in previous courses too many technical terms are employed without definitions.
Giovanni P –
Interesting, even though there are a lot of theoretical lessons, and many times they require an extreme attention
Milena S –
Too complex of a case study to understand stuff. Also, too boring and theoretical and very less interactive.
Niraj D –
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.
Srinivasa R S R –
Good course, concepts where presented in proper way.
Toni K –
Great walkthrough, start to finish on a process for applying data science method for understanding a problem.
Jakub –
Listen I am the last person to give something a one star review. Especially on Coursera where all the courses I did were very good at least. This debacle of a course is my first disappointment with a content offered by this platform. You can see the drastic drop in quality between the first course in the certificate and this one. Poor videos which offered very little value I felt like I was sitting on a corporate meeting and listening to a boring PowerPoint presentation. The whole model is not very helpful to understand those things. Cooking metaphor is not very helpful as it feels very forced. The model has far too many stages to actually be useful for grasping the concepts especially because the stages are very intertwined. Poor quality videos which look like a low effort PP presentation, boring and monotone voice. Remove this from the certificate or improve this.
Nathan E –
I think the content presented was okay, and was generally presented quite clearly. The labs were well structured and easy to follow, but I didn’t feel that I was learning skills to understand when to use different methodologies, or what kinds of challenges I might face along the way. The example given was clear and easy to follow, but I don’t feel that I learned a lot that prepared me to analyze other data science questions.
Shivam K M –
please make it more informational
Michael H –
Great Course, enjoyed learning about the Methodology. TKS
Ahmed A A A –
wonderful lessons with big concepts to know . thanks a lot for this fascinating course.
Subhajit S –
Excellent course……
batdorj j –
Like Like!
Ehsan J –
Very well explained and hands on experience, Actually challenges you and make you think about the problem you are trying to solve
Ivan B –
Extraodinary the course
Thabang S M –
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.
Neelesh T –
Really enjoyed learning and solving throughout the course. Thank You IBM & Coursera.
K A –
An amazing course which teaches you the path to choose in order to solve data related business problems. The approaches mentioned in this course are very logical and awesome and can be used to solve most of the data science problems.
Kunda C N V K R K T –
Extraordinary course for easy understanding of the Data Science Methodology.
ADU I O –
Impressive!
Arun P –
It a very good course which explain different type of Methodology in Data Science Project.
Christopher H –
Wonderful course!
Arun N –
This course helped me in writing the approach note for real life project
Sun R –
It would be good if the lab has more explanation on each code, better with a dictionary of the syntaxes.
Osho T –
its an amazing course to understand the flow and structure of being a data scientist. you’ll love going through this course and would definitely learn a lot from it.
Alejandro G –
Muy completo, y entendible acerca de como convertir un problema en un proyecto solucionable a traves de la data, siguiendo simplemente unos pasos y pensando con un poco de creatividad.
Ellen H –
Pretty good course, but could have been a little more challenging. I’m glad I learned the process, but I’m ready for some more hands on work. This was getting close I think the final projects, especially for week 3, were good practice to apply what I learned.
Amiya R B –
I think the trainer just read out some material prepared by him. concepts are uncleared to me. bad experience
Sahasranshu P –
Loved the content !
Pedro C F –
the case study is not easy for someone whos is doing it for first time, also you need more text for explaining the approach analytic. D.S Pedro
Adolfo C Y –
Excellent course
Courage O D –
Excellent
Hoang N H D –
Overall is good, except the example of heart disease was too complicated to transmit clearly the idea of this course
CH.V.S.R.Naidu –
excellent
Josh –
really liked this overview. it is well placed in the IBM sequence as course #3 of 9…
Avinash K –
Bit confusing especially the analytical approach chapter.
AJAY K –
great theoretical course on data science methodology.
Francisco J N A –
A nice introduction to DS methodology! It provides the basic notions and concepts in a clear way.
Jesus R F R –
Really great but as it is a lot of theory I think it could be better to add more reading lectures
Thomas L –
there is some issues using the Jupyterlab sometimes
Nugraha S H –
As I’m not familiar with US healthcare system, the case study given in this course is very confusing to me as there are many unfamiliar words and terms being thrown here and there.
David L –
Thanks!!!
Ruben M –
Is a good course, the methodological approach that teach to board the Data Science Projects is very useful and practical.
Mallikarjuna S T –
Concise and good content addressing the overview of data science
SARVESH P –
The case study used in the course was too complex to understand, choosing different case study to explain the concept is more beneficial for students.
Amogh K –
The final assessment is very confusing for starters and needs to be more in line with the material actually taught.
MOHIT B B –
Great course and easily explaining material
Glenda m –
Falta mas ejemplos descriptivos
Benjamin S –
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.
Ilianna A –
The final assignment was very helpful & practical. I might only give the opportunity for the student to choose his/her own topic.
Rama Y –
Practical course very useful
Abdullah A J –
It is awesome practical practice to work with data by case study. Thank you IBM and Coursera
Oliver E A B –
I like how they give importance to the exploratory analysis and the data science as a process.
RAM K B –
The subject matter was explained in a lucid way but there were some glitches in the lab exercises.
Javier F A –
T h e c o u r s e i s r e a l l y f a n t a s tic. It is impossible to understand the purpose of a science if you don’t understand the problem and the approach to problem solving. And this is precisely what is achieved here.
Ounam G –
Uses external application which are not opening, how do we complete the course! Useless
Ruhul A –
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
Viet H N –
The example about medical in videos is hard to understand.
Chike O –
nice course
Mehregan K –
good content but quizzez have more than 1 answer
Madhuranga T –
It was a well elaborated course!
Erik P –
Rather open ended. The main points should be crisper. For example, why is feedback not part of the final assessment , where the keywords repeated in the training and in the final assessment?
Nikhil J –
Perfectly explained the Data Science methodology. The stages in developing a solution to a Data centric problem. Definitely recommended!
Niall B –
The resources for this course could be improved the Skills Lab environment is not performant and there have been problems with the associated links. The Watson video needs updating to reflect the significant changes IBM have made to the interface. I found the use case to be jargon heavy. The overall delivery of content is extremely dry and could be made more engaging. Overall, a disappointing course. I am doing the specialisation in order and frankly I would give all 3 of the modules I’ve completed a very low rating the presentation of material is outdated and the resources woeful. I expected more from IBM.
Prashnat H P –
good understanding of Data science methodology videos and very clear
olu –
Teaches what it’s supposed to but could be more indepth in establishing your understanding of the process of methodology from Analysis to Evaluation
juadolfob –
Too many videos, I would appreciate more lectures. The labs are really great !!! 🙂