Chevron Left
Zurück zu Inferential Statistical Analysis with Python

Bewertung und Feedback des Lernenden für Inferential Statistical Analysis with Python von University of Michigan

801 Bewertungen

Über den Kurs

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....



1. Apr. 2020

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.


21. Jan. 2021

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.

Filtern nach:

1 - 25 von 146 Bewertungen für Inferential Statistical Analysis with Python

von Emil K

27. Feb. 2019

von Yaron K

26. Jan. 2019

von Mona S

31. März 2019

von ILYA N

24. Aug. 2019

von Mikel A

29. Mai 2020

von Tobias R

25. Feb. 2019

von David Z

29. Jan. 2019

von Iver B

4. Feb. 2019

von Daniel R

21. März 2019

von Michael D

28. Mai 2019

von José A G P

16. Apr. 2019

von Aayush G

26. Apr. 2019

von Sagar T

5. Jan. 2020

von Jafed E G

6. Juli 2019

von Ralph J Z

2. Apr. 2020

von samet

20. März 2020

von Gabriel G

5. Dez. 2019

von Anshuman G

28. Mai 2020

von Bhanu P P

28. Juni 2020

von Kaiquan M

7. Jan. 2022

von Bryan M

24. Mai 2020

von Diaconescu T

7. Dez. 2021

von Paul P

1. Jan. 2021

von Mark S

28. Okt. 2021

von Minas-Marios V

1. Mai 2020