- Regression - An Introduction
- Covariance and Covariance Matrix
- Karl Pearson Correlation Coefficient
- Spearman Rank Correlation Coefficient
- Residuals
- R-Square and RMSE
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- Simpliv Learning
- Courses
- 2 Days Live Training on Statistics for Data Science and Machine Learning
2 Days Live Training on Statistics for Data Science and Machine Learning
BY
Simpliv Learning
Online
2 Days
Quick facts
particular | details | |
---|---|---|
Medium of instructions
English
|
Mode of learning
Virtual Classroom
|
Mode of Delivery
Video and Text Based
|
Course and certificate fees
certificate availability
No
The syllabus
Statistics - An Introduction
Measure of Central Tendency
Measure of Spread - Part 1 (Range, IQR, Variance, Standard Deviation and MAD)
Regression - In-Depth
Normal Distribution
Statistics - Symmetric Distribution, Skewness, Kurtosis and KDE
Probability
Permutation and Combination
Combinatorics and Probability
Random Variables
Distributions
- Binomial and Bernoulli Distribution - Part 1
Sample Distribution and Central Limit Theorem
Confidence Interval
TStatistic
Significance Tests
- Significance Tests - An Introduction
- Type 1 and Type 2 Errors
- Constructing Hypothesis