Online Course
Statistics
San Jose State University via Udacity
Overview
NOTE: This course has been divided into two courses: Descriptive and Inferential Statistics. If you are new to statistics, we recommend taking these courses instead.
We live in a time of unprecedented access to information...data. Whether researching the best school, job, or relationship, the Internet has thrown open the doors to vast pools of data. Statistics are simply objective and systematic methods for describing and interpreting information so that you may make the most informed decisions about life.
Why Take This Course?
- The applications of statistics to everyday life
- Methods for acquiring data through observation and experimentation
- To organize and describe quantitative and categorical forms of data
- Anticipating patterns using basic probability and sampling
- Statistical inference through estimation and hypothesis testing
- Correlation and simple regression
- Ways of describing the strength of relationships between variables
Syllabus
Module 1: Introduction to Statistics and Methods
- Lesson 1: Intro to statistical research methods
- Lesson 2: Frequency Distributions & Visualizing data
Module 2: Describing Data
- Lesson 3: Central Tendency
- Lesson 4: Variability
- Midterm 1 on Lessons 1-4
Module 3: Normal Distribution Analysis
- Lesson 5: Standardized Scores (z-scores)
- Lesson 6: Probability and the Normal Distribution
- Lesson 7: Sampling Distributions
Module 4: Foundations of Inferential Statistics
- Lesson 8: Estimation
- Lesson 9: Hypothesis Testing
Midterm 2 on Lessons 5-9
Module 5: Comparing Means
- Lesson 10-11: t-tests
- Lesson 12-13: One-way ANOVA
Module 6: Correlation, Regression, and Non-Parametrics
- Lesson 14: Correlation
- Lesson 15: Regression
- Lesson 16: Chi-Squared Tests
Final Exam on Lessons 10-16 (available soon)
Taught by
Sean Laraway, Ronald Rogers and Katie Kormanik
Tags
Reviews
5.0 rating, based on 5 reviews
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Panos completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
This class is perfect for the Statics beginner. It gives a thorough and easy to understand explanation about the key concepts in Statistics with examples and reinforcing exercises.
I was struggling at separating the mean (μ) for the sample mean (x-bar) and didn't have the slightest idea of what "standard deviation" was until I took this class. I'm very grateful for it and although it doesn't cover fully the topics of an intro to Stats class, it explains core concepts perfectly! -
Mip completed this course.
This course starts out simple and steadily accelerates in difficulty. I realized towards the end that the beginning of the course helped me build a strong foundation in understanding and analyzing distributions, which are key to all the statistical tests you learn later (e.g., z-tests, t-tests, chi-squared tests). -
Anonymous
Anonymous completed this course.
Lively, engaging, and practical with real-world situations. Useful in everyday life. -
Anonymous
Anonymous is taking this course right now.
This course has great explanation, examples and good video-lectures. If you want to be more familiar with statistics, then this course is a great introduction. -
Anonymous
Anonymous is taking this course right now.
The concept of descriptive and inferential statistics is broken down. I can recommend it to anyone who is having challenges whatsoever in statistics and allied research work!
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