About this Course

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.

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Course Cost
Free
Timeline
Approx. 4 months
Skill Level
Beginner
Included in Course
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Join the Path to Greatness

This free course is your first step towards a new career with the Data Analyst Nanodegree Program.

Free Course

Statistics

by San Jose State University

Enhance your skill set and boost your hirability through innovative, independent learning.

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Course Leads

  • Sean Laraway
    Sean Laraway

    Instructor

  • Ronald Rogers
    Ronald Rogers

    Instructor

  • Katie Kormanik
    Katie Kormanik

    Instructor

What You Will Learn

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 (available soon)
  • Lesson 16: Chi-Squared Tests (available soon)

Final Exam on Lessons 10-16 (available soon)

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.

See the Technology Requirements for using Udacity.

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
What do I get?
  • Instructor videos
  • Learn by doing exercises
  • Taught by industry professionals

Thanks for your interest!

We'll be in touch soon.

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