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Jules

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Patrick

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Jason

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Brian

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Introduction to Psychology

Hannah

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Microeconomics

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Anatomy & Physiology

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College Algebra

Callie

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Organic Chemistry

Johnny

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Genetics

Kylia

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GOB Chemistry

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Introduction to Chemistry

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Microbiology

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Cell Biology

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Analytical Chemistry

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Trigonometry

Nick

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Calculus

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Business Calculus

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Introductory Statistics

Colleen

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Statistics for Business

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Biochemistry

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Macroeconomics

Learn topics such as nutrition, physical activity, mental health, stress management and healthy lifestyle choices.

Personal Health

From macronutrients and vitamins to metabolism and diet planning, nutrition concepts are explained clearly and connected to real-life examples.

Nutrition

Bruce

Learn how medical terms are built and what they mean by breaking them into simple parts. This course helps you understand and use the language of healthcare with confidence.

Medical Terminology

Explore how human societies are organized, how social relationships shape behavior, and how cultural, economic, and political forces influence everyday life.

Introduction to Sociology

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

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Intermediate Algebra

Learn the toughest concepts covered in Beginning & Intermediate Algebra with step-by-step video tutorials and practice problems by world-class tutors

Beginning & Intermediate Algebra

Confused by cells, genetics, or how life works? Explore the building blocks of biology with simple, engaging explanations that turn complex science into concepts you'll actually understand.

Introductory Biology

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Human Biology

Physics with Algebra

Need a solid foundation before calculus? Algebra and Trigonometry concepts like functions and sequences are clarified to prepare you for success.

Algebra & Trigonometry

From logic and problem solving to voting systems, personal finance, and statistics, liberal arts math topics are explained step-by-step to build confidence with real-world mathematical thinking and strong preparation for quizzes and exams.

Liberal Arts Math

From logic and problem solving to ratios, finance, and statistics, quantitative reasoning concepts are explained step-by-step to build confidence applying mathematics to everyday situations, workplace contexts, and practical decision-making.

Quantitative Reasoning

Learn the type of accounting that focuses on providing financial information to internal stakeholders within an organization

Managerial Accounting

Tyler

Learn the guidelines that govern how financial transactions are recorded and reported

Principles of Accounting

From whole numbers and integers to equations and graphing, develop a strong understanding of foundational math concepts with clear, step-by-step support every step of the way.

Prealgebra

Jennifer

Master the fundamentals of algebra as you solve equations, analyze patterns, and work with mathematical relationships through guided, step-by-step instruction.

Prealgebra & Beginning Algebra

From foundational arithmetic through advanced algebraic concepts, develop the skills to solve increasingly complex mathematical problems with comprehensive, step-by-step support.

Prealgebra, Beginning Algebra, & Intermediate Algebra

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Digital Marketing Analytics

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Project Management

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AI in Marketing

In this Python course you will learn how to : think like a programmer, solve mini practice problems in Python and build three small games. 
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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

IE 3302 Engineering Statistics: Syllabus and Course Structure Study Notes

Probability, Z-Scores, and Data Description: Key Concepts in Introductory Statistics

Numerically Summarizing Data: Measures of Central Tendency, Dispersion, and Position

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