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Avis et commentaires pour d'étudiants pour Outils d'analyse des données par Université Wesleyenne

392 évaluations
90 avis

À propos du cours

In this course, you will develop and test hypotheses about your data. You will learn a variety of statistical tests, as well as strategies to know how to apply the appropriate one to your specific data and question. Using your choice of two powerful statistical software packages (SAS or Python), you will explore ANOVA, Chi-Square, and Pearson correlation analysis. This course will guide you through basic statistical principles to give you the tools to answer questions you have developed. Throughout the course, you will share your progress with others to gain valuable feedback and provide insight to other learners about their work....

Meilleurs avis

19 déc. 2015

Again, with no formal SAS training and minimal statistics background. I found taking the first course and then this course - week after week my knowledge grew in a consistent and organized fashion.

2 déc. 2015

Very good for beginners. concept explanation as well as coding were great. doesn't take too long to finish. I enrolled regression modeling course by Wesleyan and waiting to start.

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51 - 75 sur 87 Avis pour Outils d'analyse des données

par Rajat K

8 oct. 2016

Intersting Mentor.

par Shwathi S

9 août 2016

Really good!

par Panji N

3 mai 2018

Good course

par Md M H

17 févr. 2017


par Guan

28 déc. 2015


par Hisham Z S

6 juin 2017

I want SAS

par Arnold A

9 juin 2016

Very nice!

par Emanuela P

6 janv. 2016


par acampagnolo

27 nov. 2015


par ngoduyvu

16 févr. 2016


par Emily

21 janv. 2018

This is based on their previous course (Data Management and Visualization). This course is better in terms of explaining content clearly, and I enjoyed the real-life example used when explaining about the Chi Square test. However, the python coding could be more optimized; for example, it suggests doing the Chi Square post-hoc test for each variable one by one... which can be 15 batches of dictionary recodes! Thankfully someone in the forum provided a solution for doing an automated batch testing. Maybe the course lecturers felt that a batch recode would be too complicated, but it doesn't feel like you could use their method effectively for a work environment, either. In any case, it's still a good course to explain the various data tests for quantitative and categorical data if you're new to statistics.

par Jessica

28 janv. 2016

The instructors are pleasant, and the videos helpful. Unlike some classes where it feels like there is gulf between the toy examples covered in the lectures and what's requested in the assignments, the materials available speak directly to the homework.

The virtually non-existent discussion board, lacking much activity from either students or staff, is a real downer.

par Ashish K Y

23 mars 2017

Thank you very much for creating this course. Basic concepts of Population, Sample, Sampling distribution, Sampling distribution variability, Hypothesis testing and ANOVA was really very helpful. the course is designed in a very nice way and the questions in between are of good standard.

par Teo S

1 août 2016

Very clear description of basic statistics without all the jargons and mathematical formulas behind it. Unfortunately, somehow, such a good course lacks students and the discussion forum is like ghost room with virtually zero interaction.

par Ashwani P

30 juin 2016

Very informative. Tedious concepts like ANOVA, Chi square test etc taught in very simple and effective manner.

There're two options for analysis, SAS and Phython. I'd recommend readers to read more on PROC ANOVA for better understanding.

par Praneeth K

2 août 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.

par Avinash S

9 févr. 2017

This was good module. It covers the basics of inferential statistical techniques along with its application using SAS/Python. I would definitely recommend to take up if you are a beginner.

par Asier

10 mars 2016

It is a good course for a complete beginner in statistical inference. It helped me to understand some points I found confusing in "Statistical Inference" Coursera course.

par Abhay K

23 févr. 2016

It's one of the best course for understanding all the statistical tools , used for data sciences. Thanks to entire team for making such a wonderful course content

par Ponciano R

15 janv. 2019

It´s a really good course, I´d like it to goo deeper into the techniques but still is very useful.

par Kevin M

12 sept. 2016

Enjoyable and easy to follow along with. good videos and examples. Helped fill in some gaps.


25 janv. 2016

This course is very interesting and every data scientist should take time and digest it.

par Claude F

14 févr. 2016

Lectures are well realized (animation, change in contexts) and peer review process.

par Cesar

26 avr. 2016

Una buena forma de introducirte en las herramientas para el análisis de datos

par ayush t

5 juin 2016

Videos are good and to the point.

Animation is very user friendly.