Course description
Introduction to Inferential Statistics - Beginner E-learning from Udacity
With inferential statistics, we are able to come to conclusions from data that may not be otherwise or immediately obvious. Course material focuses on building the learners ability to create hypotheses and common tests like regression, t-tests and ANOVA tests in order to support and validate claims.
Upon completion of this course delegates will have a clear understanding of:
- how to estimate parameters of a population using sample statistics
- hypothesis testing and confidence intervals
- t-tests and ANOVA
- correlation and regression
- chi-squared test
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Upcoming start dates
Who should attend?
This Introduction to Inferential Statistics course is designed for anyone looking for a better understanding of basic tools of inferential statistics
Pre-Requisites
This course assumes a basic understanding of Descriptive Statistics, specifically:
- calculating the mean and standard deviation of a data set
- central limit theorem
- interpreting probability and probability distributions
- normal distributions and sampling distributions
- normalizing observations
Find out if this course is right for you - request more information here!
Training content
Training topics for this Intro to Inferential Statistics course:
Projects:
Perform an analysis on the dataset of your choice and write a complete and comprehensive writeup about your findings
Lessons:
- Estimation
- Hypothesis Testing
- t-tests
- ANOVA
- Correlation
- Regression
- Chi-squared Tests
Final Project
You will use the methods you have learned in this course to perform an analysis on a dataset and report your findings. You will describe the data, calculate statistics, perform inference, and make conclusions.
Costs
It is free to start this Intro to Inferential Statistics course
Estimated time for completion assuming 6 hours per week: Approx. 2 months
2-Week Free Trial: Love it or Leave it
All Udacity courses are offered with a two-week free trial. Learners will have plenty of time to make sure that the program fits their needs. If it's not working out for any reason - user can cancel their subscription fee of charge.