Jun 26, 2018
This is a great course for beginners. The course instructors have arranged the course at a very comfortable pace and this is a great beginning point for anyone who wants to learn SAS or Python.
Jun 11, 2017
This course covers the basic data management and visualization using SAS and Python. I like the simplicity and straightforwardness of the contents. Will continue to explore this specialization.
교육 기관: Tianyao H•
Aug 24, 2017
교육 기관: VIBHAS S•
Jun 03, 2016
교육 기관: Jonathan•
Jun 03, 2016
교육 기관: KB•
Mar 27, 2018
The early videos in this course are well-done. I have studied this material before, and they provided a valuable "refresher" for me. The later videos attempt to cover too much ground, too quickly. The cross-disciplinary approach contributes to the feeling of confusion. I had also hoped that the data sets provided would be suitable for completing the course assignments. This was not the case, however. The OOL contains variables with many missing responses, and large numbers of response categories; the video examples are for categorical variables with two response categories The final week of the course frustrating, and I was unable to complete the assignment with the information provided.
교육 기관: Sandra M•
Mar 28, 2016
There is a lot of self-teaching with these courses because there are no professors present to reach out to with questions. In addition, the course staff do not always respond promptly nor are they fully knowledgeable about all aspects of error messages that may arise out of coding. At times the code that were provided in the lecture videos were out of date and a lot of time was spent on googling to find the updated code. This is definitely not a beginner coder course and I do not recommend it to anyone who has not coded before.
교육 기관: Jason M•
May 09, 2016
This course is very simplistic, but interesting. I was able to complete the first 3 modules within a week, however I am somewhat skilled in this area. I was looking for something more difficult. However, my main goal was learning these techniques in python. It was frustrating that it took so long until we actually produced graphs (I don't like just looking at tables). However, all in all, it was useful and interesting -- I really like the applications-based approach. You get to analyze data about whatever YOU are interested in!
교육 기관: Apurva•
Feb 07, 2017
The course is great otherwise, however the certificate of this course just completed 'Data Management and Visualization' with no mention about the skills learnt or the grade attained.
Primary reason I enrolled to the course was to list 'SAS' (basic) as a skill in my resume, however the certificate does not mention anything about SAS. If at least the certificate said completed 'Data Management and Visualization with SAS', it would be a good value for money.
I strongly recommend Coursera should look into this. Thanks!
교육 기관: Zachary H•
Oct 12, 2016
I'd pick 3.7 or so, really. The applied nature of the course is nice if you have a project in mind and to see the programming you learn in action. Without it, it might not be worth it because you could learn a lot of the SAS programming for free from SAS itself using their beginning programming coursework offered online (in fact potential students may consider taking the SAS programming essentials course before taking this because you learn a lot about the SAS coding framework that comes in handy for this class).
교육 기관: Nancy P•
Feb 23, 2017
As an English speaking student, I felt this course was easy to follow and translated a complex subject into a step by step process of interpreting data. I like the hands-on development of a research question and learning the SAS and PYTHON Data Analytic software coding to extrapolate information from data sets. I didn't like the fact that it was difficult to get an instructor to respond in the forums and very difficult figuring out how to contact Coursera with any problems.
교육 기관: Satyajit M•
Mar 21, 2016
Simple and powerful Course. If you are a beginner. Just follow the instructions and Assignment Schedule. The course may seem a bit easy, if you are good at math and have some prior programming experience, yet you can be surprised with what new you learned by the end of the Course, considering the time you spend. Also you develop sound reasoning to answer your own questions regarding handling and presenting Data. The clarity you develop is worth it.
교육 기관: Jaime B•
Jan 03, 2016
I really enjoyed this course. Have been using Python for years but never jumped into data management and visualization. This course helped me doing that and presenting results in a beautiful and useful way.
I am not rating with 5 starts because the rating system is cumbersome. I submitted my first assignment late and they were not peers to review my work so I am still waiting after a month of rejoining the course.
교육 기관: Anand K•
Jun 09, 2020
This course teaches about he basics of how to visualise, manage and manipulate data based on our hypothesis. It also entails different approaches to handle categorical and quantitative data. At the end it teaches how to interpret conclusions from the data. But I find it brief, little more description and practical examples and assignments could be better to hand good handson.
교육 기관: Alina C•
Jun 26, 2017
It's a great course, but I would have preferred a bit more in-depth working with Python. Not all the coding examples and instructions apply to all the suggested datasets and one has to do a bit of extra research at times. But all in all, this course takes you through the most important steps of doing data analysis and visualization.
교육 기관: Abhijeet M•
Apr 26, 2020
The course is well placed for beginners. Although I think there could be much more in the course as visualization also means plotting time series data and understanding the behavior of signals. If the course had more content and materials other than limited to histograms and bi-variate plots, I would have given 5 stars.
교육 기관: Asier•
Mar 10, 2016
The content is easy to follow and is clearly explained without adding unnecessary complexity at this entry level. This specialization reaches its goals. Instead of trying to over achieve it keeps things simple.
I would recommend taking the "Data Science Specialization" as the next step.
교육 기관: Michela C•
Mar 16, 2020
The course requires to submit 4 assignments in which you can apply the basic skills learnt with SAS or Python. This is useful to effectively learn how to use these softwares. The course is clear and complete, although it provides with basic skills only
교육 기관: Praneeth K•
Aug 02, 2016
This course is very good especially for beginners getting started with SAS or python for data analytics. The lessons are very clear and easy to understand. Learnt a lot of valuable information and also enjoyed it.
교육 기관: Ricardo M•
Jul 31, 2016
It is a very nice course, although I was expecting something a little deeper / denser on both statistics and SAS programming. It is getting better on Module 2! =)
교육 기관: Paul S•
May 19, 2016
Choosing an actual research question allows you to find a topic of interest. This makes the content more meaningful and accelerates understanding of the concepts.
교육 기관: Aderonke A•
Sep 18, 2018
This course was a great one, i had no know of python when i started, during the course i was a able to run my first python program. I really learnt a lot.
교육 기관: Sami N•
Jan 08, 2017
Cours très intéressant sur la gestion et la visualisation des données mais ça serait beaucoup mieux d'approfondir un peu le contexte de ce cours.
교육 기관: RAMBELOSON S•
Jun 14, 2016
It was a great course for me! It gives a very important basic of statistic & visualization.
I really appreciated the way it was presented.
교육 기관: Adam A•
Jun 08, 2020
it's a good course but i didn't like the fact that we learn how to calculate the relation between variables in the end of the course.
교육 기관: Sofía V•
Mar 07, 2016
Hace falta que el staff del curso responda las preguntas que se hacen en los foros para que el aprendizaje esté mejor orientado.
교육 기관: Walter H S P•
Feb 17, 2016
I saw little interactions between students and in the discussion list. But I liked to learn a new language!