Become a Probability & Statistics Master from Udemy

) and an additional 8 workbooks with extra practice problems, to help you test your understanding along the way. Become a Probability & Statistics Master is organized into the following sections:

Visualizing data, including bar graphs, pie charts, Venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and IQR and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and Bayes' theorem
Discrete random variables, including binomial, Bernoulli, Poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance levels, type I and II errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, RMSE, and chi-square

AND HERE' We start from the beginning... I explain the problem setup and why I set it up that way, the steps I take and why I take them, how to work through the yucky, fuzzy middle parts, and how to simplify the answer when you get it.

Notes: The notes section of each lesson is where you find the most important things to remember. It’s like Cliff Notes for books, but for math. Everything you need to know to pass your class and nothing you don’t.

Quizzes: When you think you’ve got a good grasp on a topic within a course, you can test your knowledge by taking one of the quizzes. If you pass, great. If not, you can review the videos and notes again or ask for help in the Q&A section.

Workbooks: Want even more practice? When you've finished the section, you can review everything you've learned by working through the bonus workbook. The workbooks include tons of extra practice problems, so they're a great way to solidify what you just learned in that section.

HERE' She not only understands the course material, but also selects/uses excellent application examples for her students and presents them clearly and skillfully using visual teaching aids/tools.” - John

“Really good, thorough, well explained lessons.” - Scott F.

“This is my second course (algebra previously) from Ms. King's offerings. I enjoyed this course and learned a lot. Each video explains a concept, followed by the working of several examples. I learned the most by listening to Ms King's teaching of the concept, stopping the video, and then attempting to work the example problems. After working the problems, then watching her complete the examples, I found that I really retained the concepts. A great instructor. ” - Charles M.

YOU'

I can't wait for you to get started on mastering probability and statistics.

- Krista :)

What's inside

Learning objectives

Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and iqr and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and bayes' theorem

Discrete random variables, including binomial, bernoulli, poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance level, type i and ii errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, rmse, and chi-square

Visualizing data, including bar graphs, pie charts, venn diagrams, histograms, and dot plots
Analyzing data, including mean, median, and mode, plus range and iqr and box-and-whisker plots
Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
Probability, including union vs. intersection and independent and dependent events and bayes' theorem
Discrete random variables, including binomial, bernoulli, poisson, and geometric random variables
Sampling, including types of studies, bias, and sampling distribution of the sample mean or sample proportion, and confidence intervals
Hypothesis testing, including inferential statistics, significance level, type i and ii errors, test statistics, and p-values
Regression, including scatterplots, correlation coefficient, the residual, coefficient of determination, rmse, and chi-square

Syllabus

Getting started

What we'll learn in this course

How to get the most out of this course

Download the formula sheet

The EVERYTHING download

Visualizing data

Introduction to visualizing data

RESOURCE: Quiz solutions for this section

One-way tables

Bar graphs and pie charts

Line graphs and ogives

Two-way tables

Venn diagrams

Frequency tables and dot plots

Relative frequency tables

Joint distributions

Histograms and stem-and-leaf plots

Building histograms from data sets

BONUS! Extra practice problems. :)

Analyzing data

Introduction to analyzing data

Measures of central tendency

Measures of spread

Changing the data, and outliers

Box-and-whisker plots

Data distributions

Introduction to data distributions

Mean, variance, and standard deviation

Frequency histograms and polygons, and density curves

Symmetric and skewed distributions and outliers

Normal distributions and z-scores

Chebyshev's Theorem

Covariance

Correlation coefficient

Weighted means and grouped data

Probability

Introduction to probability

Simple probability

The addition rule, and union vs. intersection

Independent and dependent events and conditional probability

Bayes' Theorem

Discrete random variables

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

This course is a thorough guide to Probability & Statistics, developing a strong foundation for learners at various levels

Taught by Krista King, whose expertise in probability and statistics is evident in her clear and engaging explanations

Covers a wide range of topics, from data visualization and analysis to probability and hypothesis testing, making it comprehensive

Suitable for students looking to build a strong foundation in probability and statistics, whether for academic or personal growth

Uses a variety of methods to engage learners, including videos, quizzes, workbooks, and notes

Requires some prior knowledge of math, so learners without a strong foundation may need to supplement their learning

Reviews summary

Stats & probability mastery

This course is a comprehensive introduction to the foundational principles of statistics and probability. It is designed for beginners, but covers topics in a way that is accessible to learners with some background in the concepts. The course is well-received, with reviewers praising the instructor's clear and engaging teaching style, the abundance of practice problems, and the well-organized course material. Students say this course is largely positive, with some reviewers noting that it is a bit light on real-world examples and could benefit from additional topics such as multilinear regression and logistic regression.

The course includes a wealth of practice problems and quizzes to help students apply the concepts they are learning. These exercises are carefully designed to reinforce understanding and help students identify areas where they need additional support.

"Absolutely good introductory course. Would like to see references to books with the proofs of the formulae. The use of the t distribution and its use in testing populations could have an additional topic. The workbooks are a valuable asset."

"This is definitely a 5-stars course. The content is explained in details. The text is easy to understand. It is good for international students."

"The course is very well designed and explained. It clears all the doubts in a very simplified way. It makes things crystal clear and the motive behind each and everything."

The course is highly organized, with each topic broken down into manageable sections. The instructor provides clear and concise notes before each video lecture, and there are plenty of practice problems and quizzes to help students reinforce their understanding.

"I liked this course! Everything is clear and well explained. A ton of exercises to practice this way ensures the comprehension of the topics. I'm glad that I diced to buy this curse. It is the perfect preparation for my math Exam."

"This course is one of the best and comprehensive course I ever found on statistics and probability."

"Another fantastic course by Krista King! Clear, step-by-step explanations combined with lots of exercises and quizzes make this one another fantastic learning experience!"

Learners say the instructor explains concepts exceptionally clearly and concisely, breaking them down into digestible pieces. They also appreciate that she uses real-world examples and provides plenty of practice problems to reinforce understanding.

"Krista is clear in her explanations. She does cover each topic in detail. I love her chalk work. You should include the finished screens as a resource as it provides a quick good summary of the lesson."

"The instructor explains concepts with great clarity. She does a great job at explaining the concepts and providing examples throughout the course, but for the final module where it is still a bit confusing."

"She spent a lot of time on the presentation of materials as well as the content itself. Even the colors she uses are carefully chosen."

Some reviewers note that the course could benefit from more real-world examples and applications of the concepts being taught. This would help students see how the concepts are used in practice and make the material more engaging.

"This is an excellent resource! I wish I had this course back in high school and/or college! Perfect or anyone who wants to ace AP statistics or college stats. For me, it's a nice refresher before business school. Thank you Krista!"

"Overall it’s a very good course. Only point to improve would be the Bayes section which has a convoluted methodology instead of a simplified solution. Also wish the Quiz section had more than 3 problems."

"Videos lessons are great from sections 1 to 7. Sections 8 e 9 are well explained but lacking to some extent. Accompanying texts are not so good as the corresponding videos and quizzes are sometimes way too simple."

While some reviewers find the course to be comprehensive and well-paced, others feel that it is too basic and does not cover advanced topics in sufficient depth. These reviewers may be better served by one of the instructor's more advanced courses.

"This course has a good explanation of statistical graph an it's analysis but in some lectures seems to be a waste of time and the given practice paper level is below than I expected. The course is good but not met my expectations"

"her English is really good, she knows how to explain, but this isn't "master" this is high school level, she's just click baiting, she doesn't solve nor explains the real important and difficult questions."

"I think its too basic a course! Its not worth paying 420/- for a course like this on udemy, where you can get much higher level of content on very important subjects at the same price. Pretty disappointed!"

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Become a Probability & Statistics Master with these activities:

Review probability and statistics

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Brush up on your probability and statistics skills to strengthen your foundational understanding and prepare for the course.

Browse courses on Probability

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Review the basics of probability, including concepts like sample space, events, and probability distributions.
Practice solving problems involving probability calculations.
Review the basics of statistics, including measures of central tendency, dispersion, and hypothesis testing.
Practice solving problems involving statistical analysis.

Watch tutorials on probability and statistics concepts

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Supplement your learning by watching video tutorials that provide clear and concise explanations of key concepts.

Browse courses on Probability

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Search for reputable online platforms or YouTube channels that offer tutorials on probability and statistics.
Choose tutorials that cover specific topics you need to strengthen.
Take notes and pause the videos to practice solving problems.

Practice probability and statistics problems

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Reinforce your understanding by working through a variety of practice problems covering different concepts in probability and statistics.

Browse courses on Probability

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Find practice problems and exercises online or in textbooks.
Solve the problems and check your answers.
Identify areas where you need more practice and focus on those topics.

Four other activities

Expand to see all activities and additional details

Show all seven activities

Join a study group or participate in online forums

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Engage with peers to discuss course topics, ask questions, and learn from different perspectives.

Browse courses on Probability

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Find study groups or online forums related to probability and statistics.
Join the group or forum and actively participate in discussions.
Share your knowledge and help others understand concepts.
Seek clarification and support from peers when needed.

Compile a resource list of probability and statistics materials

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Create a collection of helpful resources, such as websites, articles, videos, and books, for future reference and ongoing learning.

Browse courses on Probability

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Use search engines and online libraries to find relevant materials.
Organize the resources into categories or topics.
Share your compilation with others who may benefit from it.

Write a blog post or article on a probability or statistics topic

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Demonstrate your understanding by creating a written piece that explains a particular concept or solves a problem.

Browse courses on Probability

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Choose a specific topic in probability or statistics that you want to write about.
Research the topic thoroughly and gather relevant information.
Organize your thoughts and outline the structure of your writing.
Write the blog post or article, ensuring clarity, accuracy, and proper citation.
Publish your writing on a platform where others can access it.

Participate in probability or statistics competitions

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Challenge yourself and test your skills by participating in competitions that require you to solve probability or statistics problems.

Browse courses on Probability

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Research and find probability or statistics competitions that align with your interests.
Register for the competition and prepare thoroughly.
Compete in the competition and give your best effort.
Reflect on your performance and identify areas for improvement.

Career center

Learners who complete Become a Probability & Statistics Master will develop knowledge and skills that may be useful to these careers:

Statistician

A Statistician is a professional who uses statistical methods to collect, analyze, and interpret data. This course will help you build a strong foundation in probability and statistics, which are essential for success in this role. You will learn how to design and conduct statistical studies, analyze data, and draw conclusions from your findings. This course will also help you develop the communication skills that are essential for success as a Statistician.

See salaries and explore the career path for Statistician

Data Scientist

A Data Scientist is a professional who uses mathematical and statistical skills to extract insights from data. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to visualize data, analyze data, and make predictions using statistical models. This course will also help you develop the critical thinking skills that are essential for success as a Data Scientist.

See salaries and explore the career path for Data Scientist

Operations Research Analyst

An Operations Research Analyst is a professional who uses mathematical and statistical techniques to solve business problems. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to model business problems, analyze data, and make recommendations that can improve efficiency and profitability. This course will also help you develop the problem-solving skills that are essential for success as an Operations Research Analyst.

See salaries and explore the career path for Operations Research Analyst

Quantitative Analyst

A Quantitative Analyst is a financial professional who uses mathematical and statistical models to analyze investments. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to build financial models, analyze data, and make recommendations that can improve investment performance. This course will also help you develop the analytical skills that are essential for success as a Quantitative Analyst.

See salaries and explore the career path for Quantitative Analyst

Financial Analyst

A Financial Analyst is a professional who analyzes financial data and makes recommendations to investors. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to analyze financial statements, value companies, and make investment recommendations. This course will also help you develop the analytical skills that are essential for success as a Financial Analyst.

See salaries and explore the career path for Financial Analyst

Risk Analyst

A Risk Analyst is a professional who assesses and manages risks. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to identify risks, assess their likelihood and impact, and develop strategies to mitigate risks. This course will also help you develop the communication skills that are essential for success as a Risk Analyst.

See salaries and explore the career path for Risk Analyst

Actuary

An Actuary is a professional who uses mathematical and statistical techniques to assess financial risks. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to model financial risks, analyze data, and make recommendations that can improve financial security. This course will also help you develop the analytical skills that are essential for success as an Actuary.

See salaries and explore the career path for Actuary

Insurance Analyst

An Insurance Analyst is a professional who analyzes insurance risks and makes recommendations to insurance companies. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to assess insurance risks, design insurance products, and set insurance rates. This course will also help you develop the communication skills that are essential for success as an Insurance Analyst.

See salaries and explore the career path for Insurance Analyst

Market Researcher

A Market Researcher is a professional who collects and analyzes data about consumer behavior. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to design surveys, analyze data, and draw conclusions from your findings. This course will also help you develop the communication skills that are essential for success as a Market Researcher.

See salaries and explore the career path for Market Researcher

Data Analyst

A Data Analyst is a professional who collects, analyzes, and interprets data. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to clean data, analyze data, and make recommendations based on your findings. This course will also help you develop the critical thinking skills that are essential for success as a Data Analyst.

See salaries and explore the career path for Data Analyst

Biostatistician

A Biostatistician is a professional who uses statistical methods to solve problems in the biomedical sciences. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to design clinical trials, analyze medical data, and draw conclusions from your findings. This course will also help you develop the communication skills that are essential for success as a Biostatistician.

See salaries and explore the career path for Biostatistician

Economist

An Economist is a professional who studies the production, distribution, and consumption of goods and services. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to analyze economic data, build economic models, and make predictions about economic trends. This course will also help you develop the analytical skills that are essential for success as an Economist.

See salaries and explore the career path for Economist

Epidemiologist

An Epidemiologist is a professional who studies the distribution and determinants of health-related states or events in specified populations. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to design epidemiological studies, analyze data, and draw conclusions from your findings. This course will also help you develop the communication skills that are essential for success as an Epidemiologist.

See salaries and explore the career path for Epidemiologist

Psychometrician

A Psychometrician is a professional who develops and uses statistical methods to measure psychological attributes. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to develop psychological tests, analyze data, and draw conclusions from your findings. This course will also help you develop the communication skills that are essential for success as a Psychometrician.

See salaries and explore the career path for Psychometrician

Survey Statistician

A Survey Statistician is a professional who designs, conducts, and analyzes surveys. This course will help you build a foundation in probability and statistics, which are essential for success in this role. You will learn how to design surveys, collect data, and analyze data. This course will also help you develop the communication skills that are essential for success as a Survey Statistician.

See salaries and explore the career path for Survey Statistician