Comentários e feedback de alunos de Gestão e Visualização de Dados da instituição Universidade Wesleyan

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).

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.

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.

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.

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.

This is a good course to whom wants a macro introduction to Data Management along with some basics of Python programmation for data analysis. Python was actually for me the main learning.

The course is very practical with proposed use cases and you can also bring your own one.

If you are already working actively on data, you should find a more advance course.

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.

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.

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.

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

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.

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! =)

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.

Overall the course was great because it taught me a lot about the "analysis logic". From this course I know how analysis a data visually using python language.

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.

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.

This online course is a great way to be inform and educated on tools needed for greater success in the workplace where promotions are concerned.

It was a great course for me! It gives a very important basic of statistic & visualization.

I really appreciated the way it was presented.

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.

Hace falta que el staff del curso responda las preguntas que se hacen en los foros para que el aprendizaje esté mejor orientado.

Very good hands on in fundamental data visualisation with Python. Some parts of the course materials need to be updated.

I saw little interactions between students and in the discussion list. But I liked to learn a new language!

It is one of the most structured course that I have ever seen On line and is very simple to understand.

1 star deducted because python code given is jurassic era. Please renew the codes provided. Thank you.

good basics, explanations can be a bit long winded. like we know what a mean, mode, and median are.