# Session on Data Analytics (0 review)
Free Types of Statistics

• Data Measurement Scales
• Sources and Data And Types Of Data
• Frequency Distributions- Histograms
• Measure of Central Tendency
• Measure of Dispersion – Range, Variation, Mean Absolute Deviation
• Outlier Detection Using Quartiles and Boxplots

Probability and Distributions

• Concepts of Probability
• Types of Probability – Classical, Relative And Subjective
• Rules of Calculating Probability
• Marginal, Joint and Conditional Probability Using Acontigency Table
• Bayes Theorem And It’s Application
• Use a Probability Tree With Sample Exercices
• Concept of Probability Distribution
• Types Of Probability Distribution – Discrete the Continuous
• Binomial Distribution and its Role In Business Problems
• Poisson Distribution and Its Uses
• Normal Distribution and Its Role in Statistical Inferences
• Concept Of Standard Normal Distribution And Its Role

Basic of Sampling Distributions

• Introduction to Sampling and Need For Sampling
• Types of Sampling
• Sampling Distribution
• Concept of Standard Error

Hypothesis Testing

• Hypothesis Testing Procedure – Z-Test and T-Test
• Type I and Type II Error
• Hypothesis Testing – Univariate Case
• Hypothesis Testing Bivariate Case

Chi-Square Test and Analysis of Variance

• Chi-Square Test – Goodness of Fit
• Chi-Square Test – Test of Independence
• ANOVA – One Way Classification
• ANOVA- Two Way Classification
• ANOVA and MANOVA

Regression Analysis

• Insights into Correlation and Coefficient
• Scatter Diagram
• Need For Regression
• Assumption Involved In a Regression Model
• Multiple Linear Regression
• Dummy Regression
• Limitations of Multiple Regression Model
• Logistics Regression

Classification Analysis

• Decision Trees (CART)
• Random Forests
• Neural Networks

Cluster Analysis

• Iterative Portioning Clustering Methods
• Hierarchical Clustering Method

Association Analysis

• Dimensionality Reduction Techniques
• Factor Analysis
• Discriment Analysis
• Principal Component Analysis

### Course Features

• Lectures 0
• Quizzes 0
• Duration 50 hours
• Skill level All levels
• Language English
• Students 0
• Certificate No
• Assessments Self
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