Probability And Statistics: Complete Course 2025
Date: 15 October 2025 | Posted by: 0nelove
Probability And Statistics: Complete Course 2025
Last updated 10/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 16h 18m | Size: 13.5 GB
Learn the Probability and Statistics You Need to Succeed in Data Science and Business Analytics
What you'll learn
Descriptive Statistics
Visualizing Data
Probability Theory
Bayesian Statistics
Discrete Distributions (Binomial, Poisson and More)
Continuous Distributions (Normal and Others)
Hypothesis Tests
Regression
Type I and Type II Errors
Chi-Squared Test
Requirements
No pre-requisites for most of the course. One small optional section requires knowledge and calculus, but other than that this is suitable for beginners.
Description
This is course designed to take you from beginner to expert in probability and statistics. It is designed to be practical, hands on and suitable for anyone who wants to use statistics in data science, business analytics or any other field to make better informed decisions.Videos packed with worked examples and explanations so you never get lost, and every technique covered is implemented in Microsoft Excel so that you can put it to use immediately.Key concepts taught in the course are:Descriptive Statistics: Averages, measures of spread, correlation and much more.Cleaning dаta: Identifying and removing outliersVisualization of dаta: All standard techniques for visualizing data, embedded in Excel.Probability: Independent Events, conditional probability and Bayesian statistics.Discrete Distributions: Binomial, Poisson, expectation and variance and approximations.Continuous Distributions: The Normal distribution, the central limit theorem and continuous random variables.Hypothesis Tests: Using binomial, Poisson and normal distributions, T-tests and confidence intervals.Regression: Linear regression analysis, correlation, testing for correlation, non-linear regression models.Quality of Tests: Type I and Type II errors, power and size, p-hacking.Chi-Squared Tests: The chi-squared distribution and how to use it to test for association and goodness of fit.Much, much more!It requires no prior knowledge, with the exception of 2 optional videos at the end of the continuous distribution chapter, in which knowledge of calculus is required).
Who this course is for
Data Scientists
Business Analysts
Business Students
People studying Statistics
Anyone looking to power their decision making with a thorough understanding of statistics.
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