Business Analytics Training

$500.00 $300.00

Description

Business Analytics Training – Introduction to R

Business Analytics Training – Basic syntax

Packages

I/O

Data Structures

Variables

Understanding Matrices and DataFrames in R

Basic Data Exploration

History and introduction to statistics

Basic statistical techniques and introduction to the normal distribution

R programming support

Fundamentals of Probability and Distributions

Probability

Random Variables

Events

Independence

Bayes Formula and interpretation

Numerical examples

Business Analytics Training – Statistical Inference

Sampling

Sampling distribution

Hypothesis testing

Point and interval estimates

Significance levels

Confidence intervals

Interpretation / inference

Significance testing – one sample and two sample tests. One tail and two tail tests

1 way ANOVA, 2 way anova

Numerical examples

Exploratory Data Analysis

Univariate

Bi-variate analyses – Chi Square, Correlation, ANCOVA

Data cleaning

Outlier treatment

Missing value treatment

Normality tests

Normalization

Discussion on feature selection, dimensionality reduction and regularisation

Examples using R

The Three pillars of Analytics

Regression

Classification

Forecasting

Model Building and application of statistics

Linear Regression Analysis – In depth analysis with case study

Logistic Regression Analysis – In depth analysis with case study

Cluster Analysis – In depth analysis with case study

Market Basket Analysis – Retail example

Time series forecasting – Techniques and examples

Intro to Datamining and Classification

Machine Learning – An introduction

Duration & Timings :

Duration – 30 Hours.

Training Type: Online Live Interactive Session.

Faculty: Experienced.

Weekday Session – Mon – Thu 8:30 PM to 10:30 PM (EST) – 4 Weeks. July 30, 2018.

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