Probability and Statistics Masterclass – Making math fun
Learn probability and statistics with this comprehensive masterclass. Visualize data, analyze distributions, and understand different types of distributions. This course includes video lectures, real-life examples, and worked-out examples. Suitable for students studying probability and statistics, as well as those interested in math for data science. Lifetime access, friendly support, and a 30-day money-back guarantee included. Start learning today!
What you’ll learn
- Visualizing data, including bar graphs, pie charts, histograms
- Data distributions, including mean, variance, and standard deviation, and normal distributions and z-scores
- Analyzing data, including mean, median, and mode, plus range and IQR and box plots
- Different types of distribution – Bernoulli, Binomial, Uniform, Normal, Pareto, Chi square, Hypothesis Testing, Central limit theorem
- Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem
- Permutation with examples
- Combination with examples
- Different types of distributions – Uniform, Log Normal, Pareto, Normal, Binomial, Bernoulli Chi Square distribution and Goodness of Fit
- Central Limit Theorem
- Hypothesis Testing
PROBABILITY & STATISTICS MASTERCLASS IS SET UP TO MAKE LEARNING FUN AND EASY
This 100+ lesson course includes 20+ hours of high-quality video and text explanations of everything from Probability, Statistics, Permutation and Combination. Topic is organized into the following sections:
Data Type – Random variable, discrete, continuous, categorical, numerical, nominal, ordinal, qualitative and quantitative data types
Visualizing data, including bar graphs, pie charts, histograms, and box plots
Analyzing data, including mean, median, and mode, IQR and box-and-whisker plots
Data distributions, including standard deviation, variance, coefficient of variation, Covariance and Normal distributions and z-scores
Different types of distributions – Uniform, Log Normal, Pareto, Normal, Binomial, Bernoulli
Chi Square distribution and Goodness of Fit
Central Limit Theorem
Hypothesis Testing
Probability, including union vs. intersection and independent and dependent events and Bayes’ theorem, Total Law of Probability
Hypothesis testing, including inferential statistics, significance levels, test statistics, and p-values
Permutation with examples
Combination with examples
Expected Value
AND HERE’S WHAT YOU GET INSIDE OF EVERY SECTION:
We will start with basics and understand the intuition behind each topic
Video lecture explaining the concept with many real life examples so that the concept is drilled in
Walkthrough of worked out examples to see different ways of asking question and solving them
Logically connected concepts which slowly builds up
Enroll today ! Can’t wait to see you guys on the other side and go through this carefully crafted course which will be fun and easy.
YOU’LL ALSO GET:
Lifetime access to the course
Friendly support in the Q&A section
Udemy Certificate of Completion available for download
30-day money back guarantee
Who this course is for:
- Students currently studying probability and statistics or students about to start probability and statistics
- Anyone who wants to study math for fun
- Anyone wanting to learn foundational Maths for Data Science
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