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 forma parte de Programa especializado: Statistics with Python
Ofrecido Por
Acerca de este Curso
High school algebra, successful completion of Course 1 in this specialization or equivalent background
Qué aprenderás
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 obtendrás
- Confidence Interval
- Python Programming
- Statistical Inference
- Statistical Hypothesis Testing
High school algebra, successful completion of Course 1 in this specialization or equivalent background
Ofrecido por
Programa - Qué aprenderás en este curso
WEEK 1 - OVERVIEW & INFERENCE PROCEDURES
WEEK 2 - CONFIDENCE INTERVALS
WEEK 3 - HYPOTHESIS TESTING
WEEK 4 - LEARNER APPLICATION
Reseñas
- 5 stars74,10 %
- 4 stars17,30 %
- 3 stars5,60 %
- 2 stars1,55 %
- 1 star1,43 %
Principales reseñas sobre INFERENTIAL STATISTICAL ANALYSIS WITH PYTHON
A very in-depth learning material for inferential statistics. Very good explanation of p-value which clarifies some of the prevailing misunderstandings.
Do you want to have an in-depth understanding of statistics in data science? Take the full specialization and you won't regret it. Fantastic course
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.
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.
Acerca de Programa especializado: Statistics with Python

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