Datascience Training

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