Вернуться к Inferential Statistical Analysis with Python

4.6
звезд
Оценки: 798

О курсе

In this course, we will explore basic principles behind using data for estimation and for assessing theories. We will analyze both categorical data and quantitative data, starting with one population techniques and expanding to handle comparisons of two populations. We will learn how to construct confidence intervals. We will also use sample data to assess whether or not a theory about the value of a parameter is consistent with the data. A major focus will be on interpreting inferential results appropriately. At the end of each week, learners will apply what they’ve learned using Python within the course environment. During these lab-based sessions, learners will work through tutorials focusing on specific case studies to help solidify the week’s statistical concepts, which will include further deep dives into Python libraries including Statsmodels, Pandas, and Seaborn. This course utilizes the Jupyter Notebook environment within Coursera....

Лучшие рецензии

RZ

1 апр. 2020 г.

This is a very great course. Statistics by itself is a very powerful tool for solving real world problems. Combine it with the knowledge of Python, there no limit to what you can achieve.

RS

21 янв. 2021 г.

Very good course content and mentors & teachers. The course content was very structured. I learnt a lot from the course and gained skills which will definitely gonna help me in future.

Фильтр по:

76–100 из 145 отзывов о курсе Inferential Statistical Analysis with Python

автор: Russel A

14 авг. 2020 г.

Concepts are explained very well with real world examples

автор: Álvaro M R

21 мар. 2021 г.

Great course. Very good content. Excellent instructors.

автор: Flo

23 мар. 2020 г.

It's an amazing course! very clear, very informative!!

автор: Edilson S

18 июня 2019 г.

Amazing course! Very useful for all kind of Analysis!

автор: Varga I K

14 апр. 2019 г.

Absolutely great course of inferential statistics!

автор: Simphiwe D

26 авг. 2021 г.

I enjoyed the instructors and course content

автор: Nguyen T H T

15 июня 2020 г.

lessons are very helful and well-strutured

автор: Shuran X

29 мар. 2020 г.

Detailed explanation and clear syllablus.

автор: Xuejie Z

6 июня 2020 г.

Very good explanations by the lecturers.

автор: 18z334 M

29 июля 2020 г.

Every concept was clearly explained

автор: Marina P

7 окт. 2019 г.

Very well done. A lot of practice.

автор: RODRIGO E P M

26 авг. 2020 г.

An excellent introductory course.

автор: Benjamin F

14 янв. 2020 г.

Well presented and rich content.

автор: Thanaa A

26 сент. 2020 г.

perfect course thanks everyone.

автор: JAVIER O F C

25 июня 2020 г.

Excelente curso, muchas gracias

автор: Joao S

30 сент. 2020 г.

Just another fantastic course.

автор: balaji r

20 мая 2020 г.

Highly recommend this course.

автор: 고도균

12 июля 2019 г.

The python codes are amazing.

автор: JITHIN P J

16 мая 2020 г.

very nice and informative

автор: Sebastian R R

16 авг. 2020 г.

Excelente curso!!!

автор: Aniket S

15 апр. 2020 г.

Excellent Cousre.

автор: Beatriz J F

24 нояб. 2019 г.

Very satisfied.

автор: v v r

6 июля 2020 г.

Extremely Good

автор: Ime E

2 окт. 2020 г.

Great course.

автор: Eduardo L L

22 сент. 2021 г.

G​ood Course