學生對 卫斯连大学 提供的 数据分析工具 的評價和反饋

4.5
395 個評分
91 條評論

課程概述

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....

熱門審閱

DL
2015年12月19日

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.

AM
2015年12月2日

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.

51 - 数据分析工具 的 75 個評論（共 88 個）

2016年2月8日

Easy to understand!

2016年10月8日

Intersting Mentor.

2016年8月9日

Really good!

2018年5月3日

Good course

2017年2月17日

Excellent!!

2015年12月28日

interesting

2017年6月6日

I want SAS

2016年6月9日

Very nice!

2016年1月6日

great!

2015年11月27日

Great!

2016年2月16日

v

2018年1月21日

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.

2016年1月28日

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.

2017年3月23日

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.

2016年8月1日

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.

2016年6月30日

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.

2016年8月2日

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.

2017年2月9日

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.

2016年3月10日

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.

2016年2月23日

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

2019年1月15日

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

2016年9月12日

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

2016年1月25日

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

2016年2月14日

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

2016年4月26日

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