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Data Science

DATA MODELLING

Descriptive / Inferential statistics

Various data types

Exploratory data Analysis

Random Variables

Probability

DISTRIBUTIONS

Probability Distributions

Discrete Probability distribution

Continuous probability distribution

MODEL FITTING

How to fit the data

Hypothesis test

Fitting a linear model

Discrete terms

Multivariate models

Interaction terms

Generalized models

MODEL SELECTION

How to select an algorithm

Predictive Accuracy

Cross validation

Estimates of predictive accuracy

Model under fitting and over fitting

MACHINE LEARNING

Decision Tree

Theory of Decision tree

Statistics behind decision tree

Case study approach

Hands on using R & Python

Random Forest

Theory on Random forest

Hands on using R & Python

K-NN

Theory on K-NN

Case study approach

Hands on using R & Python

Bayesian classifier

Theory on Naïve Bayes

Case study approach

Hands on using R and Python

k-Means cluster

Distance measures

Case study approach

Hands on using R & Python

Agglomerative clustering

Case study approach

Hands on using R & Python

Text Mining

Sentimental Analysis using R & Python

Kernel SVM classifier

Theory on SVM

Case study approach

Hands on using R & Python

Neural Networks

Simple neural Network

Multi-layer perceptron

Hidden Layers

Hands on using R & python

DATA WRANGLING USING R

Data Frame

Matrices

Vectors

Lists

Packages

Reading different data into R

Graphical representation

Imputation

Dummy Variable creation

Summary statistics

Correlation

Covariance

DATA VISUALIZATION

Understand Tableau Desktop Architecture and how to use Tableau in real life

Tableau statistics and Tableau interactive dashboard

Master Tableau Reporting, Graphs, Maps, Table Calculation

Simplify and organize data with data connections

Master Special Field Types and Tableau Generated Fields

Learn to implement Data Aggregation and Data Blending in tableau

Understand R Connectivity with Tableau

Gain knowledge on using R scripts in Tableau

Perform real time analytics and Tableau data visualization

Prepare for Tableau Desktop Qualified Associate Exam

TOOLS

TABLEAU

Introduction to the various file types

How to access help

Quick introduction to the user interface in tableau

How to connect to the data sources

How to join various data sources

How to create data visualizations using tableau feature "show me"

Recorder and remove visualization fields

How to sort and filter data

How to create a calculated field

How to perform operations using cross – tab

Working with workbook data & worksheets

How to create a packaged workbook

Creating various charts

Creating maps & setting map options

Creating dashboards & working with dashboard

R & R-STUDIO

Introduction to r

Working with packages

Performing various regression and

Data mining techniques using R studio

PYTHON

Installation of python

Importance of python

Difference between r studio and python

How to perform various functions

How to view module content in python

How to request libraries in python

How to access the content

How to create content

Performing various regression and data mining techniques using python

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