Become a Probability and Statistics Master – Udemy

On the Udemy platform, this is one of the most popular online statistics courses. The course covers 163 sessions, including demonstrations, text explanations, quizzes, and assignments, and helps learners to gain a full understanding of ideas ranging from the fundamentals to the most sophisticated.

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. 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.

The key takeaways from the course include:

• Data visualization using bar graphs, pie charts, histograms, and plots.
• Analyzing data using mean, median, mode, and IQR.
• Data distributions and probability including mean, variance, and standard deviation.
• Bayes theorem, union and intersections, and independent and dependent events.
• Discrete random variables, Poisson, and geometric random variables.
• Sampling and types of studies, bias, confidence intervals.
• Hypothesis testing, statistical inference analysis, significance levels, and test statistics.
• P-values, regression, scatter plots and correlation coefficients, and chi-square.

What you will learn

• 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

The course curriculum includes:

• Getting started
• Visualizing data
• Analyzing data
• Probability
• Discrete random variables
• Sampling
• Hypothesis testing and regression
• Final exam and wrap-up

Instructor: Krista King

Level: Beginner

Duration: 14 hours and 21 minutes

User Review: 4.7/5

No. of Reviews: 7747

Price: $47.8

Enroll here: udemy.com/course/statistics-probability/