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Jules

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Patrick

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Jason

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Brian

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Bruce

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College Algebra

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Johnny

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Kylia

GOB Chemistry

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Intro to Chemistry

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Cell Biology

Analytical Chemistry

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

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Callie

Learn the toughest concepts covered in Precalculus with step-by-step video tutorials and practice problems by world-class tutors

Precalculus

Nick

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Calculus

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Business Calculus

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Business Statistics

Learn the toughest concepts covered in Statistics with step-by-step video tutorials and practice problems by world-class tutors

Statistics

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Personal Health

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Nutrition

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Dive deep into Python with videos and more.

Introduction to Python

Arianne Dee

Agile Project and Product Management

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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

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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

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Jeffrey K. Pinto

AI in Marketing

Product & Marketing

Programming

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

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Patrick Ford

Callie Rethman

Colleen Daly

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

Fundamental Concepts in Statistics: Descriptive, Inferential, Sampling Methods, and Random Sampling

Fundamental Concepts in Statistics: Sampling, Study Types, and Data Classification

Chapter 1: The Nature of Statistics – Foundations and Classifications

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