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Jules

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Patrick

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Jason

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Financial Accounting

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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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

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Personal Health

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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

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

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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

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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

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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

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Generative AI for Marketing Professionals

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AI-Enhanced Project Management

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Agile & Product Management

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Digital Marketing Analytics

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Project Management

In this course you will learn what AI can do in the marketing world, how to recognize when it will work, what the process is to implement it, and who you need to work with to succeed.

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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Introduction to Python

In this Introduction to Microsoft Power BI course, you will learn how to : import and transform data in Power Query Editor , build a data model that supports self-service analysis and develop reports and visualizations using the Power BI Desktop. 

Microsoft Power BI

In this course you will learn what blockchain and cryptocurrency are, how they work, and how these technologies are being applied. The course explains what smart contracts are and how they work, the rise of new funding mechanisms.

Blockchain and Cryptocurrency

In this course expert developer Lee Donahoe and renowned instructor Michael Hartl teach the specific concepts, skills, and approaches in HTML, CSS and Layouts you need to get the job done.

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1. Intro to Stats and Collecting Data

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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

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[BOOK STATISTICS] DEFAULT

Comprehensive statistics study guide covering regression, data collection, sampling, graphs, central tendency, probability, and exam practice questions.

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Sampling Methods

Statistics Midterm Study Guidance: Regression, Data Visualization, Probability, and More

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Sampling Methods

Histograms

Bar Graphs and Pareto Charts

Frequency Distributions

Percentiles & Quartiles

Boxplots

Complements

Addition Rule

Visualizing Qualitative vs. Quantitative Data