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Courses Offered

Data Science With Tableau

  • 1 Data Science Training

  • 2 Data Science

    • 2.1 Introduction to Data Science

  • 3 R Programming

    • 3.1 Introduction to R Programming

    • 3.2 R Programming Concepts

    • 3.3 Data Manipulation in R

    • 3.4 Data Import Techniques in R

    • 3.5 Exploratory Data Analysis (EDA) using R

    • 3.6 Data Visualization in R

  • 4 Big Data & HADOOP

    • 4.1 Big Data and Hadoop Introduction

    • 4.2 Understand Hadoop Cluster Architecture

    • 4.3 Map Reduce Concepts

    • 4.4 PIG

    • 4.5 HIVE

    • 4.6 HBASE

    • 4.7 SQOOP

    • 4.8 Apache Spark

  • 5 PYTHON

    • 5.1 Introduction to Python

    • 5.2 Strings and Collections

    • 5.3 Modularity

    • 5.4 Objects

    • 5.5 Collections

    • 5.6 Handling  Exceptions

    • 5.7 Iterables

    • 5.8 Classes

    • 5.9 Files and Resource Management

  • 6 Machine Learning

    • 6.1 Introduction Machine Learning

    • 6.2   Clustering

    • 6.3 Decision Tree Classifier

    • 6.4 Random Forest Classifier

  • 7 Big Data Analytics with Tableau

    • 7.1 Tableau

    • 7.2   Connecting to Data

    • 7.3 Hierarchies

    • 7.4 Terminology

    • 7.5 Adding The Intelligence Factor

    • 7.6 Dashboards Defined

       

       

       

       

       

       

       

       

       

MicroStrategy

  • Defining BI and its Importance

  • Architecture of Data Flow

  • Stack description in BI

  • Describing Reporting needs in business through a model

  • Queries from Business Owner

  • Understanding the requirement of BI system

  • Difference between OLTP and OLAP

  • Example of BI Query

  • Delivering information through BI platform

  • BI platform in BI technology stack

  • Information delivery in BI

  • BI becoming the Market Leader

  • Introducing Dimension hierarchy

  • Product dimension hierarchy

  • Implementation of MD model

  • MOPAL vs. ROLAP

  • Analysis techniques in OLAP

  • Understanding Report type through List Matrix

  • Installing MicroStrategy

  • Report format Analysis Techniques of OLAP

  • Describingtwo major report types: List and Matrix

  • Understanding Investment Cube before any slicing

  • Dicing and Pivoting

  • Concepts of Drill-up and Drilldown

  • Describing Rollup with investment ($) diagram example

  • Aggregating Sales Data

  • Deep dive in hierarchal view

  • MicroStrategy BI

  • User Interface of MicroStrategy

  • Intelligence server

  • Intelligence server details

    Categories of Analytical Module in MicroStrategy

  • Sub Categories of MicroStrategy Tutorial

  • Reportvs. documents

  • Objects in MicroStrategy

  • Type of Schema Object

  • Types of Application object

  • Types of Configuration object

  • Project Training with Dashboards

Android App Development

  • 5.1 Introduction to Android

  • 5.2 Android Architecture Overview

  • 5.3 Setup of Android Development Environment

  • 5.4 Your Android Application

  • 5.5 Your First Android Application

  • 5.6 Publishing to the Play Store

  • 5.7 Activities

  • 5.8 Android Testing

  • 5.9 Fragments

  • 5.10 User Interfaces

  • 5.11 Advanced UI

  • 5.12 Android Material Design

  • 5.13 Resources

  • 5.14 Broadcast Receivers

  • 5.15 Background Services

  • 5.16 Intents

  • 5.17 Storing and Retrieving Data

  • 5.18 SQLite Database

  • 5.19 Native Content Providers

  • 5.20 Custom Content Providers

  • 5.21 Web Services

  • 5.22 Parsing, Parsers

  • 5.23 Location Based Services

  • 5.24 Integrating Google Maps

  • 5.25 Telephony

  • 5.26 Multimedia in Android

  • 5.27 Bluetooth

  • 5.28 Social Networking Integrations

  • 5.29 Debugging  and Testing Android Apps

     

     

     

     

     

     

     

     

     

Core Java

JDBC 4.0

  • Introduction to JDBC

  • JDBC architecture

  • java.sql Package

  • Connection, Statement, ResultSet

  • Prepared Statement

  • Callable Statement

  • Scrollable and Updatable ResultSet

  • Batch Updates

  • ResultSetMetaData

  • Simple Transaction Management

  • Four Levels of JDBC drivers, their pros & cons

  • Features of JDBC 3.0

Servlets 3.0

  • Need of Server side Programming

  • Introduction to Servlets

  • Servlet Life Cycle

  • javax.servlet package

  • ServletConfig, ServletContext, ServletResponse

  • Supplying initialization parameters to Servlets

  • Performing database operations in Servlets

  • Include and forward mechanisms

  • Applying filters to Servlets

  • javax.servlet.http Package

  • HttpServlet Life Cycle

  • Http request methods GET vs POST

  • HttpServletRequest, HttpServletResponse

  • Dealing with Http headers & error codes

  • Session Tracking, purpose

  • Hidden form fields, Cookies

  • Http Session, URL rewriting

  • Event listeners

  • Web application security

JSP 2.2

  • Disadvantages of Servlets

  • Introduction to JSP

  • JSP Life Cycle

  • Creating dynamic Web content with JSP

  • Scripting elements

  • Scriptlet

  • Declaration

  • Expression

  • XML syntax for JSP elements

  • JSP directives page, include and taglib

  • JSP implicit objects

  • JSP scopes

  • Include and forward mechanism

  • Using a Java bean in a jsp

  • JSP Model 1 architecture

  • JSP Model 2 (MVC) architecture

  • Custom Tag Development

  • Classic Tags, Simple Tags

  • Error Handling in a jsp

  • JSTL

  • Expression Language

  • Processing XML in a JSP

     

     

     

     

     

     

     

     

     

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