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.
Dieser Kurs ist Teil der Spezialisierung Spezialisierung Statistics with Python
von
Über diesen Kurs
High school algebra, successful completion of Course 1 in this specialization or equivalent background
Was Sie lernen werden
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.
Kompetenzen, die Sie erwerben
- Confidence Interval
- Python Programming
- Statistical Inference
- Statistical Hypothesis Testing
High school algebra, successful completion of Course 1 in this specialization or equivalent background
Lehrplan - Was Sie in diesem Kurs lernen werden
WEEK 1 - OVERVIEW & INFERENCE PROCEDURES
WEEK 2 - CONFIDENCE INTERVALS
WEEK 3 - HYPOTHESIS TESTING
WEEK 4 - LEARNER APPLICATION
Bewertungen
- 5 stars74,10 %
- 4 stars17,30 %
- 3 stars5,60 %
- 2 stars1,55 %
- 1 star1,43 %
Top-Bewertungen von 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.
Über den Spezialisierung Statistics with Python

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