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.
Este curso faz parte do Programa de cursos integrados Statistics with Python
oferecido por
Informações sobre o curso
High school algebra, successful completion of Course 1 in this specialization or equivalent background
O que você vai aprender
Determine assumptions needed to calculate confidence intervals for their respective population parameters.
Create confidence intervals in Python and interpret the results.
Review how inferential procedures are applied and interpreted step by step when analyzing real data.
Run hypothesis tests in Python and interpret the results.
Habilidades que você terá
- Confidence Interval
- Python Programming
- Statistical Inference
- Statistical Hypothesis Testing
High school algebra, successful completion of Course 1 in this specialization or equivalent background
oferecido por
Programa - O que você aprenderá com este curso
WEEK 1 - OVERVIEW & INFERENCE PROCEDURES
WEEK 2 - CONFIDENCE INTERVALS
WEEK 3 - HYPOTHESIS TESTING
WEEK 4 - LEARNER APPLICATION
Avaliações
- 5 stars74,10%
- 4 stars17,30%
- 3 stars5,60%
- 2 stars1,55%
- 1 star1,43%
Principais avaliações do INFERENTIAL STATISTICAL ANALYSIS WITH PYTHON
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.
Great course with practical experience with Python. There are many courses that teach statistics with R but this is the first one to do so in Python.
Useful course to learn basic concepts of inferential statistical analysis. However, I would expect more Python exercises/assignments than the essay-type writing assignment.
This course is significantly better than the previous one. Nevertheless, if you want to get knowledge about Python, it’s not about this course.
Sobre Programa de cursos integrados Statistics with Python

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