Leverage structured and unstructured data to predict future events -eg trends, pricing decisions, fraud risk, customer attrition etc.

New Age Algorithm to derive value from complex and Bigdata -eg: real time bidding , IOT sensor database maintanance

Draw meaningful insights from text data – e.g. conversation themes, topics, sentiment, sales leads, customer satisfaction etc.

Drive superior operations and planning through demand forecasting, cost planning, granular sales, shipment forecasting etc.

Introduction Data Science

Inferential Statistics

Distributions

Model Fitting

Text Mining

Model Selection

Machine Learning

Data Wrangling using R

Tools

What is Data Science

Why Data Science is a Buzz word

Importance of Data Science

Difference between Ai, Machine Learning

Applications of Data Science

Descriptive / Inferential statistics

Various data types

Exploratory data Analysis

Random Variables

Probability

Probability Distributions

Discrete Probability distribution

Continuous probability distribution

Normal Distribution

Hypothesis Testing

Fitting a linear model

Discrete terms

Multivariate models

Interaction terms

Generalised models

Importance of Text Mining

Applications of Text Mining techniques

DTM & TDM

Positive word cloud

Negative world cloud

Extracting reviews

Twitter extraction

Predictive Modelling

Cross validation

Estimations of predictive Modelling

Dealing with Under fitting and Over fitting

SUPERVISED LEARNING :

Support Vector Machines

Linear regression

Logistic regression

Naive Bayes

Decision trees

K-nearest neighbor algorithm

Neural Networks (Multilayer perceptron)

UN-SUPERVISED LEARNING :

Hierarchical clustering

Non-Hierarchical clustering

Principal component analysis,

Singular value decomposition

Data Frame

Matrices

Vectors

Lists

Packages

Reading different data into R

Graphical representation

Imputation

Dummy Variable creation

Summary statistics

Correlation

Covariance

R, R-STUDIO and Python

Introduction to r and Python

Working with packages

Performing various regression and

Data mining techniques using R studio

Minitab for Hypothesis testing