Вернуться к Инструменты анализа данных

4.5
звезд
Оценки: 403
Рецензии: 93

## О курсе

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....

## Лучшие рецензии

DL

19 дек. 2015 г.

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

2 дек. 2015 г.

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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## 26–50 из 90 отзывов о курсе Инструменты анализа данных

автор: Γεώργιος Κ

13 июня 2018 г.

a useful introduction to Data Analysis. If you have never seen these things before you need it.

автор: ABHINAV G

9 июня 2020 г.

Good Course, also plse explain the difference between moderator & confounding variable

автор: Nikhil T

21 июня 2018 г.

Being as beginner I found through this course I am able to setup my base. Thanks

автор: Sally T

7 авг. 2017 г.

Great information presented very clearly with many learning aids provided.

автор: igor s

30 июля 2017 г.

It is a very nice course for learning the SAS and Python. thank you all.

автор: Tsung F W

14 сент. 2021 г.

Well-explained lectures. Educate the key concepts with simple examples.

автор: Degninou Y M

4 янв. 2016 г.

Complicated mathematical concepts explained in a very simple way.

автор: Drew M

24 сент. 2018 г.

Really important concept (moderator) is explained very well.

автор: Anitha t

23 апр. 2018 г.

Excellent course with clear explanation and practical work.

автор: Zacharias P

20 янв. 2016 г.

Very nice lecture videos and explanations! Totally worth it

автор: Devon D

1 окт. 2018 г.

Great course the skills learned have helped me greatly.

автор: Deepa R

7 июля 2020 г.

I recommend this course as its makes learning easy.

автор: JuanK Z

27 окт. 2015 г.

An excellent class. I really enjoy all lectures.

автор: KASAWULI F B

2 дек. 2018 г.

Data Analytics Tools are keep for Data Science.

автор: Edita G

28 окт. 2020 г.

Interesting course on data analysis tools

автор: Bijith k

22 окт. 2016 г.

Good Course , simple but effective videos

автор: Alvin B

8 дек. 2020 г.

Nice course highly recommended!

автор: Elías B

4 сент. 2017 г.

good course, simple but resumed

автор: Luis M O A

1 нояб. 2017 г.

автор: Manoj K

22 февр. 2016 г.

Awesome course. Thanks Prof.

автор: uzoamaka

19 нояб. 2018 г.

Very informative. Thank you

автор: priyanka.s

27 нояб. 2020 г.

This group is very useful

автор: Xie Q

11 авг. 2016 г.

A great course! Thanks.

автор: Nitin K

17 авг. 2016 г.

Nice Course Thanks :)

автор: yassine a

14 нояб. 2015 г.