Statistics (Udacity)

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.

What You Will Learn

Lesson 1

Introduction to Statistics and Methods

- Intro to statistical research methods

- Frequency Distributions & Visualizing data

Lesson 2

Describing Data

- Central Tendency

- Variability

Lesson 3

Normal Distribution Analysis

- Standardized Scores (z-scores)

- Probability and the Normal Distribution

- Sampling Distributions

Lesson 4

Foundations of Inferential Statistics

- Estimation

- Hypothesis Testing

Lesson 5

Comparing Means

- t-tests

- One-way ANOVA

Lesson 6

Correlation, Regression, and Non-Parametrics

- Correlation

- Regression

- Chi-Squared Tests

Prerequisites and Requirements

It sounds strange to say, but math is not the focus of this class. To do well, however, it is necessary to have a basic understanding of proportions (fractions, decimals, and percentages), negative numbers, basic algebra (solving equations), and exponents and square roots.

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