Become a Probability & Statistics Master
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
Course Gallery
Charts
Comidoc Review
Our Verdict
Krista King's Become a Probability & Statistics Master course on Udemy has garnered an impressive 4.74 global rating, justifying its widespread popularity among learners. The teacher's dedication to delivering high-quality instruction and simplifying complex topics shines throughout the course, offering clear explanations while integrating engaging examples that cater to a broad audience. The carefully curated curriculum spans an array of essential probability and statistics concepts, providing ample opportunities for learners to hone their skills through practice questions and quizzes across numerous sections. Although some users have noted certain areas for improvement—namely the addition of more practical examples, minimizing arithmetic in presented material, and addressing occasional inconsistencies—the overall positive reception speaks volumes about the course's value. In summary, this highly-rated course with a wide range of covered topics should undoubtedly earn its place among your options when looking to dive into probability and statistics Mastery, especially if you are prepared to complement it with external resources for added depth in some areas.
What We Liked
- Wide-ranging curriculum covers all major probability and statistics concepts, from basic to advanced levels
- Meticulously structured course with well-labeled sections facilitates organized learning
- Krista King's teaching style praised for breaking down complex topics, boosting accessibility
- Plentiful practice questions and quizzes help reinforce content and improve understanding
- High-quality support materials and resources supplement the course content admirably
Potential Drawbacks
- Minimal real-world applications or context for certain examples; more practical examples would be beneficial
- Some arithmetic in presented material could be reduced to allow for deeper exploration of techniques
- Occasional inconsistencies or unclear explanations necessitate external resources for clarification
- *One user mentions some potential proofs and mathematical derivations might require additional external study*