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Jules

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Physics

Patrick

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Jason

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Brian

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Psychology

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Bruce

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College Algebra

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Johnny

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Kylia

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Study topics incliding trogonometric functions, identities and equations, solutions of triangles, complex numbers, and other topics as time permits

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Callie

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Nick

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Business Statistics

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Statistics

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Personal Health

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Nutrition

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Medical Terminology

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Sociology

Hannah

Dive deep into Beginning Algebra with videos, practice problems, and more.

Beginning Algebra

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Intermediate Algebra

Dive deep into Beginning & Intermediate Algebra with videos, practice problems, and more.

Beginning & Intermediate Algebra

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Dive deep into Python with videos and more.

Introduction to Python

Arianne Dee

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Mariya Breyther

Introduction to Microsoft Power BI

Microsoft Power BI

Chris Sorensen

Data Analysis Fundamentals with Excel

Data Analysis - Excel

Chris Sorensen & Ammul Shergill

Getting Started with  and Cryptocurrency

Introduction to Blockchain

George Levy

Learn Enough HTML, CSS and Layout to be Dangerous

HTML, CSS & Layout

Lee Donahoe & Michael Hartl

Learn Enough JavaScript to be Dangerous: A Tutorial Introduction to Programming with JavaScript

Introduction to JavaScript

Michael Hartl

R Programming

Jared P. Lander

Digital Marketing Analytics Beyond Advertising

Digital Marketing

Mike Moran

Project Management

Jeffrey K. Pinto

AI in Marketing

AI for Business

AI-Enabled Programming, Networking, and Cybersecurity: Introduction

Professional course with videos and more.

How LLMs Understand & Generate Human Language

Jumpstart your AI Career

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From probability to hypothesis testing, statistics concepts are explained step-by-step to build problem-solving skills and exam readiness.

Patrick Ford

https://static.studychannel.pearsonprd.tech/courses/statistics/thumbnails/desktop

Colleen Daly

Callie Rethman

1. Intro to Stats and Collecting Data

2. Describing Data with Tables and Graphs

3. Describing Data Numerically

4. Probability

5. Binomial Distribution & Discrete Random Variables

6. Normal Distribution and Continuous Random Variables

7. Sampling Distributions & Confidence Intervals: Mean

8. Sampling Distributions & Confidence Intervals: Proportion

9. Hypothesis Testing for One Sample

10. Hypothesis Testing for Two Samples

11. Correlation

12. Regression

13. Chi-Square Tests & Goodness of Fit

14. ANOVA

[BOOK STATISTICS] DEFAULT

This statistics study guide covers regression, R², assumptions, residuals, extrapolation, and common pitfalls to help you master data analysis concepts.

Statistics Study Guide: Regression, R², and Extrapolation

Regression, $R^2$, and Extrapolation: Key Concepts and Pitfalls

Coefficient of Determination

Linear Regression & Least Squares Method

Residuals

Correlation Coefficient

Regression, $R^2$, and Extrapolation: Key Concepts and Pitfalls

Study Guide - Learn with Videos

Coefficient of Determination

Linear Regression & Least Squares Method

Residuals

Correlation Coefficient