Inferential Statistical Analysis with Python
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Inferential Statistical Analysis with Python at Coursera Overview
Duration | 18 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
Inferential Statistical Analysis with Python at Coursera Highlights
- 33% got a tangible career benefit from this course.
- 50% got a pay increase or promotion.
- Earn a shareable certificate upon completion.
Inferential Statistical Analysis with Python at Coursera Course details
- 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.
Inferential Statistical Analysis with Python at Coursera Curriculum
WEEK 1 - OVERVIEW & INFERENCE PROCEDURES
Welcome to the Course!
Inferential Statistical Analysis with Python Guidelines
Introduction to Inference Methods: Oh the Things You Will See!
Bag A or Bag B?
Introduction to Bayesian
This or That? Language and Notation
The Python Statistics Landscape
Intermediate Python Concepts: Lists vs Numpy Arrays
Functions and Lambda Functions, Reading Help Files
Course Syllabus
Meet the Course Team!
About Our Datasets
Help Us Learn More About You!
This or That Reference
Python Basics Assessment
WEEK 2 - CONFIDENCE INTERVALS
Estimating a Population Proportion with Confidence
Understanding Confidence Intervals
Demo: Seeing Theory
Assumptions for a Single Population Proportion Confidence Interval
Conservative Approach & Sample Size Consideration
Estimating a Difference in Population Proportions with Confidence
Interpretations & Assumptions for Two Population Proportion Intervals
Estimating a Population Mean with Confidence
Estimating a Mean Difference for Paired Data
Estimating a Difference in Population Means with Confidence (for Independent Groups)
Introduction to Confidence Intervals in Python
Confidence Intervals for Differences between Population Parameters
Confidence Intervals: Other Considerations
What Affects the Standard Error of an Estimate?
Additional Practice: Confidence Intervals
Practice Quiz: All About Confidence Intervals
Sample Size & Assumptions
Confidence Intervals Assessment
WEEK 3 - HYPOTHESIS TESTING
Setting Up a Test for a Population Proportion
Testing a One Population Proportion
Setting Up a Test of Difference in Population Proportions
Testing a Difference in Population Proportions
Interview: P-Values, P-Hacking and More
One Mean: Testing about a Population Mean with Confidence
Testing a Population Mean Difference
Testing for a Difference in Population Means (for Independent Groups)
Demo: Name That Scenario
Chocolate & Cycling Assignment
Introduction to Hypothesis Testing in Python
Walk-Through: Hypothesis Testing with NHANES
Hypothesis Testing: Other Considerations
The Relationship between Confidence Intervals & Hypothesis Testing
Chocolate & Cycling Assignment Instructions
Additional Practice: Hypothesis Testing
Name That Scenario
Hypothesis Testing in Python Assessment
WEEK 4 - LEARNER APPLICATION
The Importance of Good Research Questions for Sound Inference
Descriptive Inference Examples for Single Variables Using Confidence Intervals
Descriptive Inference Examples for Single Variables Using Hypothesis Testing
Comparing Means for Two Independent Samples: An Example
Comparing Means for Two Paired Samples: An Example
Comparing Proportions for Two Independent Samples: An Example
Assumptions Consistency
Revisiting Examples: Accounting for Complex Samples
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