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Patrick

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General Biology

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Financial Accounting

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Introduction to Chemistry

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Microbiology

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Cell Biology

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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

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.

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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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Beginning & Intermediate Algebra

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Introductory Biology

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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

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

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Generative AI Toolbox

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ChatGPT Prompt Engineering Essentials

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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

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1. Introduction to Statistics

2. Describing Data with Tables and Graphs

3. Describing Data Numerically

4. Probability

5. Binomial Distribution & Discrete Random Variables

6. Normal Distribution & 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

[BUSINESS-STATISTICS] DEFAULT

This Statistics for Business study guide covers linear regression, interpreting fitted lines, residuals, R-squared, and regression conditions.

Statistics for Business Study Guide: Linear Patterns & Regression

Ch . 19 Linear Patterns and Simple Regression: Study Notes for Business Statistics

Ch . 19 Linear Patterns and Simple Regression: Study Notes for Business Statistics

학습 가이드 - 영상으로 배우기

Scatterplots & Intro to Correlation

Linear Regression & Least Squares Method

Residuals

Coefficient of Determination

Inferences for Slope