Brief Introduction
This course will guide you through some of the basic tools of inferential statistics. This course will cover:Course Summary
Learn how to use data to make informed decisions and conclusions about populations based on samples in this introductory course to inferential statistics.Key Learning Points
- Understand the concepts of probability and distributions
- Learn how to conduct hypothesis testing and confidence intervals
- Apply inferential statistics to real-world scenarios
Related Topics for further study
Learning Outcomes
- Ability to analyze data using inferential statistics
- Confidence in decision-making based on statistical data
- Improved critical thinking skills
Prerequisites or good to have knowledge before taking this course
- Basic understanding of algebra
- Familiarity with descriptive statistics
Course Difficulty Level
BeginnerCourse Format
- Self-paced
- Online
Similar Courses
- Intro to Descriptive Statistics
- Statistics with R
- Introduction to Probability
Related Education Paths
Related Books
Description
Intro to Inferential Statistics will teach you how to test your hypotheses and begin to make predictions based on statistical results drawn from data!Requirements
- This course assumes basic understanding of Descriptive Statistics, specifically the following: 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 If you need a refresher, check out our Descriptive Statistics course ! The course also utilizes Google Spreadsheets as a tool. See the Technology Requirements for using Udacity.
Knowledge
- Instructor videosLearn by doing exercisesTaught by industry professionals
Outline
- lesson 1 Estimation Estimate population parameters from sample statistics using confidence intervals. Estimate the effect of a treatment. lesson 2 Hypothesis Testing How to determine if a treatment has changed the value of a population parameter. lesson 3 t-tests How to test the effect of a treatment. Compare the difference in means for two groups when there are small sample sizes. lesson 4 ANOVA Learn how to test whether or not there are differences between three or more groups. lesson 5 Correlation Learn how to describe and test the strength of a relationship between two variables. lesson 6 Regression How changes in one variable are related to changes in a second variable. lesson 7 Chi-squared Tests Learn how to compare and test frequencies for categorical data.
Summary of User Reviews
Discover the power of inferential statistics in this introductory course from Udacity. Students rave about the engaging and practical approach to learning, as well as the knowledgeable and helpful instructors. One key aspect that many users thought was good is the hands-on projects that allow students to apply what they've learned in real-world scenarios.Pros from User Reviews
- Engaging and practical approach to learning
- Knowledgeable and helpful instructors
- Hands-on projects for real-world application
- Clear and concise explanations
- Great for beginners
Cons from User Reviews
- Some users found the pacing too slow
- Not enough depth for advanced learners
- Limited interaction with instructors
- Some technical issues with the online platform
- Not enough practice exercises
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