Master Statistics: Descriptive, Probability & Real Skills!

Learn descriptive statistics, probability, data interpretation, and problem-solving with real-world applications.

What you'll learn

Analyze and interpret data by calculating measures of center, variation, and relative standing.

Apply probability rules to compute event likelihoods and make data-driven decisions.

Use descriptive statistics to summarize datasets and construct visual representations like boxplots.

Differentiate between independent and dependent events using probability and statistical rules.

Requirements

No prior knowledge of statistics is required; this course is beginner-friendly.

A basic understanding of arithmetic operations (addition, subtraction, multiplication, division).

Access to a calculator or statistical software for computations (e.g., Excel, Google Sheets).

A willingness to engage in critical thinking and apply concepts to real-world data.

Description

Are you ready to master statistics and make sense of data in your personal, academic, or professional life? This comprehensive course created by STEM With Doctor D is designed to equip you with the tools and skills to confidently analyze and interpret data, whether you're a beginner or looking to refresh your knowledge. With practical examples and clear explanations, you'll learn how to think critically about numbers and apply statistical methods to real-world scenarios.What Makes This Course Different?Statistics doesn’t have to be intimidating. In this course, we focus on understanding the “why” behind the numbers, not just the “how.” You’ll learn how to use calculators and software to perform complex computations, freeing you to focus on interpreting results. Whether you’re preparing for a career in business, science, or the social sciences—or just want to make informed decisions—this course has you covered.What Will You Learn?-How to calculate and interpret measures of center like mean, median, mode, and midrange.-How to measure variation in data using range, variance, and standard deviation.-The basics of probability, including event likelihoods, complements, and Bayes’ Theorem.-How to create visual representations of data like boxplots and understand z-scores, percentiles, and quartiles.-How to apply probability rules, including addition and multiplication rules, for independent and dependent events.-Essential counting principles, including permutations, combinations, and factorials, for solving complex problems.Why Take This Course?-Beginner-Friendly: No prior knowledge of statistics is required. This course is ideal for beginners or those looking for a refresher.-Real-World Applications: Learn to apply statistical concepts to everyday scenarios, from business analytics to personal decision-making.-Practical Tools: Use calculators and statistical software for efficient problem-solving and data analysis.-Critical Thinking: Move beyond formulas and focus on interpreting results to make meaningful inferences.Who Is This Course For?-Students preparing for further coursework in data analysis, business, or social sciences.-Professionals in need of data interpretation skills for informed decision-making.-Beginners who want to understand statistics in a non-intimidating way.-Anyone curious about how to apply statistical concepts in real life.What’s Included?-Step-by-step lessons on descriptive statistics, probability, and counting principles.-Engaging exercises and examples to test your understanding.-Downloadable resources to support your learning.-Lifetime access to course materials so you can learn at your own pace.By the end of this course, you’ll not only have mastered the basics of descriptive and inferential statistics but also gained the confidence to interpret data, solve problems, and make informed decisions. Sign up today and start your journey into the world of statistics!

Overview

Section 1: Part 01 Introduction

Lecture 1 Part 01 Introduction

Section 2: Measures of Center

Lecture 2 Measures of Center

Section 3: Measures of Spread

Lecture 3 Measures of Spread

Section 4: Relative Standing and Range Rule of Thumb

Lecture 4 Relative Standing and Range Rule of Thumb

Section 5: Critical Thinking in Statistics

Lecture 5 Critical Thinking in Statistics

Section 6: Practice Worksheet and Practice Problem Answers

Lecture 6 Practice problem answers

Section 7: Part 02 Introduction

Lecture 7 Part 02 Introduction

Section 8: Probability and How to Interpret Probabilities

Lecture 8 Probability and How to Interpret Probabilities

Section 9: Complements and Sum of Probabilities

Lecture 9 Complements and Sum of Probabilities

Section 10: Additional and Multiplication Rules with Independence and Dependence

Lecture 10 Additional and Multiplication Rules with Independence and Dependence

Section 11: Complements and Conditional Probabilities

Lecture 11 Complements and Conditional Probabilities

Section 12: Bayes' Theorem

Lecture 12 Bayes' Theorem

Section 13: Counting Rules, Factorials, Permutations, and Combinations

Lecture 13 Counting Rules, Factorials, Permutations, and Combinations

Section 14: Bonus Resources!

Lecture 14 Bonus resources!

Beginners seeking a foundational understanding of statistics for academic or professional growth.,Students preparing for courses in data analysis, business, or social sciences.,Professionals looking to enhance their data interpretation and decision-making skills.,Curious learners who want to apply statistical concepts to real-world problems in a practical way.