Statistics & Probability for Data Science & Machine Learning
Know each & every concept - Descriptive, Inferential Statistics & Probability become expert in Stats for Data Science
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535
students
29 hours
content
Nov 2021
last update
$49.99
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What you will learn
Looking for in-depth knowledge of Statistics for Data Science
Each and every concepts like Measure of Central Tendency, Measure of Spread with various example
Get the in-depth knowledge of Regression, Covariance Matrix, Karl Pearson Correlation Coefficient and Spearman Rank Correlation Coefficient
Detailed understanding of Normal Distribution
Understanding of Skewness, Kurtosis, Symmetric distribution and KDE
Detailed knowledge on Basics of Probability, Conditional Probability
Permutations and Combinations
Combinatorics and Probability
Understanding of Random Variables its variance and mean
Various distributions like Binomial, Bernoulli, Geometric and Poisson
Sampling Distribution and Central Limit Theorem
Confidence Interval
Margin of error
T-statistic and Z statistic in detail
Significance testing
Type 1 and Type 2 Errors
Comparing two proportions
Comparing two means
Introduction to Chi Squared Distribution
Chi Square test for Homogeneity and association
Advanced Regression
Anova and FStatistic
Related Topics
3279738
udemy ID
6/29/2020
course created date
12/17/2020
course indexed date
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