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Probability And Statistics Masterclass - Making Maths Fun
Last updated 6/2025
Created by Newton Academy
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English + subtitle | Duration: 112 Lectures ( 20h 15m ) | Size: 8 GB [/center]
Learn everything from Probability, Statistics, Permutation and Combination with walk along practice questions
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
Requirements
● Foundation in Mathematics
Description
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
