Data Science Training

 Data Science Training Overview

 Objectives of the Course

 Pre-Requites  of the Course

 Course Duration

 Data Science Course Content

 Introduction to Data Science

 Data

 Big Data

 Data Science Deep Dive

 Intro to R Programming

 R Programming Concepts

 Data Manipulation in R

 Data Import Techniques in R

 Exploratory Data Analysis (EDA) using R

 Data Visualization in R

 HADOOP

 Big Data and Hadoop Introduction

 Understand Hadoop Cluster Architecture

 Map Reduce Concepts

 Advanced Map Reduce Concepts

 Hadoop 2.0 and YARN

 PIG

 HIVE

 Module-9

 HBASE

 Module-11

 SQOOP

 Flume and Oozie

 Projects

 Project in Healthcare Domain

 Project in Finance/Banking Domain

 Spark

 Apache Spark

 Introduction to Scala

 Spark Core Architecture

 Spark Internals

 Spark Streaming

 Statistics + Machine Learning

 Statistics

 What is Statistics?

 Machine Learning

 Machine Learning Introduction

 Python

 Getting Started with Python

 Sequences and File Operations

 Deep Dive – Functions Sorting Errors and Exception Handling

 Regular Expressionist’s Packages and Object – Oriented Programming in Python

 Debugging, Databases and Project Skeletons

 Machine Learning Using Python

 Supervised and Unsupervised learning

 Algorithm

 Application Example

 Scikit and Introduction to Hadoop

 Hadoop and Python

 Python Project Work