Category: Classroom

ASP.NET Course

Posted on by ewsadmin

(VB.NET / C#.NET, ASP.NET 4.0,MOBILE APPLICATION, .NET FRAMEWORK,SQL)

  • Getting Started
  • Windows Operating Systems
  • Microsoft.Net & Versions
  • Language Support
  • Types of Applications
  • Installations & Getting Started
  • Creating Applications
  • Testing & Debugging Applications
  • Features of .Net Framework
  • .Net Framework Architecture
  • Components of .Net Framework
  • Common Type System (CTS)
  • Common Language Specification (CLS)
  • Common Language Runtime (CLR)
  • Intermediate Language (IL)
  • Framework Libraries
  • Namespaces, Assemblies & Deployment
  • Security
  • Memory Management
  • Metadata & Reflection
  • Introduction to .Net Framework & Features of C#.Net
  • Creating Console Applications
  • Data Types, Variables, Constants
  • Boxing & Un-Boxing
  • Operators & Expressions
  • Control Structures
  • Arrays & Strings
  • Structured Exception Handling
  • C# parameter Modifiers (out, ref)
  • Multithreading
  • Delegates & Events
  • Implementing OOPS
  • OOPS Vs Structural Programming
  • Features of OOPS
  • Classes & Objects
  • ata Abstractions, Data Hiding
  • Encapsulation
  • Inheritance
  • Polymorphism
  • Operator Overloading, Function Overloading
  • Constructors & Destructors
  • C# .NET Layout Basics
  • Introduction to Windows Forms user interface
  • Common Windows forms controls
  • Data Controls
  • Menus and Toolbars
  • Dialog Boxes
  • MDI Form
  • ADO.NET
  • Custom Control
  • Validation in Window Form
  • Crystal Report, Error Handling
  • Setup and Deployment
  • Introduction to Internet & Web Applications
  • Introduction to Dynamic Web Pages & ASP.Net
  • ASP.Net Page Life Cycle
  • ASP.Net Standard Controls
  • Regular expressions
  • Validation Controls
  • Create Master Page and Content Pages
  • Login Controls
  • Web Parts
  • Database Concept & SQL Server queries
  • Introduction to Disconnected Architecture & ADO.Net
  • ADO.Net Classes
  • ADO.Net Objects
  • Connection objects, Data Adapter
  • Command Builders, Data Table
  • Data Set, Data Reader
  • Data Retrieval, Insertion, Deletion & Updating
  • ADO.Net Connection Pooling
  • Using Data Controls
  • Introduction to XML
  • XML Tree, XML Syntax
  • Data Binding in ASP.Net
  • Overview of LINQ to SQL Class
  • Connectivity with LINQ
  • Using Stored Procedure in LINQ
  • State Management & Security Issues in ASP.Net
  • Configuration Settings
  • Tracing & Debugging
  • Deploying ASP.Net Applications
  • Asp.NET Ajax Controls
  • JQuery
  • WCF
  • WPF
  • Silver Light
  • MVC in Asp.Net
  • Mobile Application
  • Introduction of IIS Server
  • CPanel setting for Dynamic website
  • Upload database
  • FTP Configuration
  • SMTP Configuration
  • Uploading of WebPages and file
  • System Analysis & Design
  • SRS, FRS, DFD

Digital Marketing Course

Posted on by ewsadmin
  • What is digital marketing?
  • How is it different from traditional marketing?
  • ROI between Digital and traditional marketing?
  • Discussion on Ecommerce
  • Discussion on new trends and current scenario of the world?
  • Digital marketing a Boon or Bane?
  • How can digital marketing be a tool of success for companies?
  • Video on importance of digital marketing
  • Analysis of recent info graphics released by companies about digital marketing?
  • How did digital marketing help the small companies and top inc
  • Categorization of digital marketing for the business
  • Diagnosis of the present website and business.
  • Swot analysis of business, present website and media or promotion plan.
  • Setting up vision,mission,and goals of digital marketing
  • Understanding a website
    • What is a website?
    • Levels of websites?
    • Diff b/w Blog, Portal and Website?
    • Diff b/w websites either static or dynamic
  • On page optimization techniques
  • Off page Optimization techniques
  • Reports
  • Introduction to Social Media Marketing
  • Advanced Facebook Marketing
  • Word Press blog creation
  • Twitter marketing
  • LinkedIn Marketing
  • Google plus marketing
  • Social Media Analytical Tools
  • Introduction to Search Engine Marketing
  • Tools used for Search engine Marketing
  • PPC /Google Adwords Tool
  • Display advertising techniques
  • Report generation
  • Google Analytics
  • Online Reputation Management
  • E-Mail Marketing
  • Affiliate Marketing
  • Youtube Marketing
  • Social Media Analytics
  • Ad designing

Java Course

Posted on by ewsadmin
  • Introduction
  • Features
  • Pros and Cons
  • Environment Setup
  • First Program
  • Variables
  • Data Types
  • Variable scope
  • Typecasting
  • Operators
  • Expressions
  • Operator precedence
  • If statement
  • Switch statement
  • While loop
  • Do while loop
  • For loop
  • Classes basics
  • Class and object
  • Constructors
  • Method overloading
  • Method overriding
  • Static keyword
  • Inheritance
  • Types of inheritance
  • Final keyword
  • Abstraction
  • Arrays
  • String
  • Wrapper class
  • Defining interfaces
  • Extending interfaces
  • Implementing interfaces
  • Accessing interfaces
  • Introduction to packages
  • Java API packages
  • System packages
  • Creating thread
  • Life cycle
  • Synchronization
  • Exceptions
  • Try catch
  • Custom Exception
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Core Python Course

Posted on by ewsadmin
  • History
  • Features
  • Setting up path
  • Working with Python
  • Basic Syntax
  • Variable and Data Types
  • Operator
  • If
  • If- else
  • Nested if-else
  • For
  • While
  • Nested loops
  • Break
  • Continue
  • Pass
  • Accessing Strings
  • Basic Operations
  • String slices
  • Function and Methods
    • Introduction
    • Accessing list
    • Operations
    • Working with lists
    • Function and Methods
  • Introduction
  • Accessing tuples
  • Operations
  • Working
  • Functions and Methods
  • Introduction
  • Accessing values in dictionaries
  • Working with dictionaries
  • Properties
  • Functions
  • Defining a function
  • Calling a function
  • Types of functions
  • Function Arguments
  • Anonymous functions
  • Global and local variables
  • Importing module
  • Math module
  • Random module
  • Packages
  • Composition
  • Printing on screen
  • Reading data from keyboard
  • Opening and closing file
  • Reading and writing files
  • Functions
    • Exception
    • Exception Handling
    • Except clause
    • Try ? finally clause
    • User Defined Exceptions

Advance Python

  • Class and object
  • Attributes
  • Inheritance
  • Overloading
  • Overriding
  • Data hiding
  • Match function
  • Search function
  • Matching VS Searching
  • Modifiers
  • Patterns
  • Introduction
  • Connections
  • Executing queries
  • Transactions
  • Handling error
  • Socket
  • Socket Module
  • Methods
  • Client and server
  • Internet modules
  • Thread
  • Starting a thread
  • Threading module
  • Synchronizing threads
  • Multithreaded Priority Queue
  • Introduction
  • Tkinter programming
  • Tkinter widgets

Advance Python Course

Posted on by ewsadmin
  • Class and object
  • Attributes
  • Inheritance
  • Overloading
  • Overriding
  • Data hiding
  • Match function
  • Search function
  • Matching VS Searching
  • Modifiers
  • Patterns
  • Introduction
  • Architecture
  • CGI environment variable
  • GET and POST methods
  • Cookies
  • File upload
  • Introduction
  • Connections
  • Executing queries
  • Transactions
  • Handling error
  • Socket
  • Socket Module
  • Methods
  • Client and server
  • Internet modules
  • Thread
  • Starting a thread
  • Threading module
  • Synchronizing threads
  • Multithreaded Priority Queue
  • Introduction
  • Tkinter programming
  • Tkinter widgets
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Machine Learning Course using Python

Posted on by ewsadmin
  • What is Machine Learning?
  • History of Machine Learning
  • How Artificial Intelligence relates to Machine Learning
  • Data Science vs Machine Learning
  • Fundamentals of Machine Learning
  • Introduction to K- nearest neighbour method
  • Different phases of predictive modelling
  • Understanding tasks and work using an example classification problem
    based on the K- nearest neighbour method
  • Implementation using the scikit- learn library
  • Classification
    • Decision tree
    • Naïve bayes
    • Logistic Regression
    • Know your neighbour (KKN)
    • Support vector machine
  • Regression
    • Linear Regression
    • Support vector machine
    • Know your neighbor (KKN)
    • Ridge regression
  • What is model complexity
  • What is Generalization performance
  • Understanding the connection between Model Complexity and
    Generalization performance
  • Importance of proper feature scaling
  • How to control model complexity by applying techniques like
    regularization to avoid overfitting
  • Use of cross-validation for model evaluation
  • Evaluation
    • Understanding of evaluation and model section methods
    • Optimize the performance of the machine learning model
  • Advance supervised machine learning concepts
    • Ensembles of tree (random forests, grading boosted trees)
    • Neural networks (with an optional summary on deep learning)
    • Learning the critical problem of data leakage in machine learning and
      how to detect and avoid it
  • K- Mean clustering
  • Document retrieval : A case study in clustering and measuring
    similarity
  • Recommending products
  • Unsupervised Learning- Deep Learning
  • Meaning and importance of deep learning
  • Artificial neural networks
  • Introduction to Tensor flow
  • Introductory remark about python
  • A brief history of python
  • How python is different from other languages
  • Python versions
  • IDLE
  • How to execute a python program
  • Writing your first program
  • Python keywords and identifiers
  • Python statements
  • Comments in python
  • Command line arguments
  • Getting user input
  • Exercise
  • Variable and Data Type
    • Introduction
    • Variables
    • Data Types
    • Numbers
    • Strings
    • Lists, Tuples and dictionary
    • Exercise
  • Decision making and Loops
    • Introduction
    • Control Flow and Syntax
    • The if statement
    • Python Operators
    • The while loop
    • Break and continue
    • The For loop
    • Pass statement
    • Exercise
  • Functions
    • Introduction
    • Calling a function
    • Function arguments
    • Built in functions
    • Scope of variables
    • Decorators
    • Passing function to function
    • Lambda
    • Closures
    • Exercise
  • Modules and packages
    • Introduction to modules
    • Importing modules
    • Standard modules-sys
    • Standard module-OS
    • The dir function
    • Packages
    • Exercise
      • Exception Handling
        • Error
        • Run time Error
        • Handling IO Exception
        • Try Except statement
        • Raise
        • Assert
        • Exercise
      • Files and directories
        • Introduction
        • Writing Data to a file
        • Reading Data from a file
        • Additional file methods
        • Working with files
        • Working with Directories
        • Exercise
      • Class and objects
        • Introduction to classes and objects
        • Creating classes
        • Instance methods
        • Special class method
        • Inheritance
        • Method overriding
        • Data hiding
        • Exercise
      • Regular Expressions
        • Introduction
        • Match function
        • Search function
        • Grouping
        • Matching at Beginning or end
        • Match objects
        • Flags
        • Exercise
      • Socket Programming
        • What are Sockets?
        • Creating sockets
        • Server client- socket methods
        • Connecting client-server
        • Client-server chatting program
        • Exercise

Data Science Course using Python

Posted on by ewsadmin
  • What is Data Science?
  • Why Python for data science?
  • Relevance in industry and need of the hour
  • How leading companies are harnessing the power of Data Science with
    Python?
  • Different phases of a typical Analytics/Data Science projects and role of
    python
  • Anaconda vs. Python
  • Overview of Python- Starting with Python
  • Introduction to installation of Python
  • Introduction to Python Editors & IDE’s(Canopy, pycharm, Jupyter, Rodeo, Ipython etc…
  • Understand Jupyter notebook & Customize Settings
  • Concept of Packages/Libraries – Important packages(NumPy, SciPy, scikit-learn, Pandas, Matplotlib, etc)
  • Installing & loading Packages & Name Spaces
  • Data Types & Data objects/structures (strings, Tuples, Lists, Dictionaries)
  • List and Dictionary Comprehensions
  • Variable & Value Labels – Date & Time Values
  • Basic Operations – Mathematical – string – date
  • Reading and writing data
  • Simple plotting
  • Control flow & conditional statements
  • Debugging & Code profiling
  • How to create class and modules and how to call them?
  • Numpy
  • Scipy
  • Pandas
  • Scikitlearn
  • Statmodels
  • Nltk……. etc
  • Importing Data from various sources (Csv, txt, excel, access etc)
  • Database Input (Connecting to database)
  • Viewing Data objects – subsetting, methods
  • Exporting Data to various formats
  • Important python modules: Pandas, beautifulsoup
  • Cleansing Data with Python
  • Data Manipulation steps(Sorting, filtering, duplicates, merging, appending, subsetting, derived variables, sampling, Data type conversions, renaming, formatting etc)
  • Data manipulation tools(Operators, Functions, Packages, control structures, Loops, arrays etc)
  • Python Built-in Functions (Text, numeric, date, utility functions)
  • Python User Defined Functions
  • Stripping out extraneous information
  • Normalizing data
  • Formatting data
  • Important Python modules for data manipulation (Pandas, Numpy, re, math, string, datetime etc)
  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis (Distribution of data & Graphical Analysis)
  • Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc)
  • Important Packages for Exploratory Analysis(NumPy Arrays, Matplotlib, seaborn, Pandas and scipy.stats etc)
  • Basic Statistics – Measures of Central Tendencies and Variance
  • Building blocks – Probability Distributions – Normal distribution – Central Limit Theorem
  • Inferential Statistics -Sampling – Concept of Hypothesis Testing
  • Statistical Methods – Z/t-tests (One sample, independent, paired), Anova, Correlation and Chi-square
  • Important modules for statistical methods: Numpy, Scipy, Pandas
  • Introduction to Machine Learning & Predictive Modeling
  • Types of Business problems – Mapping of Techniques – Regression vs. classification vs. segmentation vs. Forecasting
  • Major Classes of Learning Algorithms -Supervised vs Unsupervised Learning
  • Different Phases of Predictive Modeling (Data Pre-processing, Sampling, Model Building, Validation)
  • Overfitting (Bias-Variance Tradeoff) & Performance Metrics
  • Feature engineering & dimension reduction
  • Concept of optimization & cost function
  • Concept of the gradient descent algorithm
  • Concept of Cross-validation(Bootstrapping, K-Fold validation etc)
  • Model performance metrics (R-square, RMSE, MAPE, AUC, ROC curve, recall, precision, sensitivity, specificity, confusion metrics )
  • Linear & Logistic Regression
  • Segmentation – Cluster Analysis (K-Means)
  • Decision Trees (CART/CD 5.0)
  • Ensemble Learning (Random Forest, Bagging & boosting)
  • Artificial Neural Networks(ANN)
  • Support Vector Machines(SVM)
  • Other Techniques (KNN, Naïve Bayes, PCA)
  • Introduction to Text Mining using NLTK
  • Introduction to Time Series Forecasting (Decomposition & ARIMA
  • Important python modules for Machine Learning (SciKit Learn, stats models, scipy, nltk etc)
  • Fine-tuning the models using Hyperparameters, grid search, piping etc.

Big Data Hadoop Course

Posted on by ewsadmin
  • What is Big Data
  • Data Facts
  • Aspects / Principle of Big Data
  • Difference b/w Big Data & Traditional BI
  • Examples: Where to use Big Data
  • Big Data Business Opportunities
  • Distributed File System computation with Facebook Example
  • Understanding File System working
  • Basic commands of LINUX
  • Shell scripting
  • Use Cases – Assignments
  • Introduction to OOP’s concept
  • Understanding on Data types
  • Functions
  • Methods
  • Setup of Eclipse
  • Coding examples
  • Use Cases : Assignments
  • Concepts of Python
  • Data Types in Python
  • Exception Handling in Python
  • File Handling in Python
  • Introduction to Flume
  • Setup of Flume Components
  • Source
  • Sink
  • Channel
  • Agents
  • Use Cases – Assignments
  • Introduction to SPARK
  • Understanding of RDD, Contexts
  • Developing Application in SPARK
  • Use Cases – Assignments
  • Understanding Hadoop Architect
  • Basic Understanding of Hadoop core components
  • In depth understanding of HDFS
  • Understanding HDFS services – NameNode & DataNode
  • Understanding on File System Read & Write
  • Real-time Cluster setup based on requirement
  • Understanding YARN Architect
  • Architect Difference b/w Hadoop 1.x & Hadoop 2.x
  • Understanding File System Read & Write
  • Hadoop 1.x
  • Environment Settings
  • Pseudo Mode Installation
  • Distributed Mode Installation
  • Basic configuration of Hadoop properties
  • Understanding in-built scripts
  • Running Basic Map Reduce code
  • Hadoop 2.x
  • Environment Settings
  • Distributed Mode Installation
  • Configuration of Hadoop properties
  • Running Basic Map Reduce Code
  • Hadoop File system commands
  • Introduction to Sqoop
  • Setup of Sqoop
  • Sqoop Import commands
  • Sqoop Export commands
  • Formats in Sqoop
  • Use Cases – Assignments
  • Introduction to PIG Latin
  • Setup of Pig
  • Independent Mode
  • Map Reduce Mode
  • Basic commands in Pig
  • Functions in Pig
  • Developing UDF’s in Java
  • Use Cases – Assignments
  • Understanding of Map Reduce services – JobTracker &
    TaskTracker
  • Map Reduce Flow Chart
  • Map Reduce Phases
  • Mapper
  • Reducer
  • Splitting
  • Sorting
  • Shuffling
  • Combiner
  • Partitioning
  • Developing Map Reduce applications – JAVA Code
  • Developing Map Reduce applications – Python Code
  • Discussion on Input File Formats
  • Difference b/w Old MR API & New MR API
  • Use Cases – Assignments
  • Introduction to HIVE Architecture
  • Setup of Hive
  • Basic queries in HIVE
  • Advance Features of HIVE
  • Partitioning
  • Bucketing
  • Serialize & De-serialize
  • Query optimization in Hive
  • Use Cases – Assignments

Cloud Computing Course

Posted on by ewsadmin
  • Defining cloud computing
  • Components of a computing cloud
  • Differentiating types of clouds: public, private, hybrid
  • Delivering services from the cloud
  • Categorizing service types
  • Comparing vendor cloud products: Amazon, Google, Microsoft and others
  • Key drivers of cloud computing solutions
  • Instantaneous provisioning of computing resources
  • Handling varied loads with elasticity and seamless scalability
  • Tapping into an infinite storage capacity
  • Cost-effective pay-as-you-use billing models
  • Evaluating barriers to cloud computing
  • Handling sensitive data
  • Aspects of cloud security
  • Assessing governance solutions
  • Characterizing SaaS
  • Minimizing the need for local hardware and software
  • Streamlining administration with centralized installation and updates
  • Optimizing cost and performance with the ability to scale on demand
  • Comparing service scenarios
  • Improving collaboration with business productivity tools
  • Simplifying business process creation by integrating existing components
  • Inspecting SaaS technologies
  • Deploying Web applications
  • Implementing Web services: SOAP, REST
  • Choosing a development platform
  • Exploring the technical foundation for PaaS
  • Specifying the components of PaaS
  • Analyzing vendor PaaS provisions
  • Selecting an appropriate implementation
  • Building services with solution stacks
  • Evaluating the architecture of vendor specific platforms
  • Becoming familiar with service platform tools
  • Leveraging the power of scalable middleware
  • Managing cloud storage
  • Controlling unstructured data in the cloud
  • Deploying relational databases in the cloud
  • Improving data availability
  • Employing support services
  • Testing in the cloud
  • Monitoring cloud-based services
  • Analyzing portability across platforms
  • Enabling technologies
  • Scalable server clusters
  • Achieving transparency with platform virtualization
  • Elastic storage devices
  • Accessing IaaS
  • Provisioning servers on demand
  • Handling dynamic and static IP addresses
  • Tools and support for management and monitoring
  • Calculating the financial implications
  • Analyzing current and future computing requirements
  • Comparing in-house facilities to the cloud
  • Estimating economic factors downstream
  • Preserving business continuity
  • Selecting appropriate service-level agreements
  • Safeguarding access to assets in the cloud
  • Security, availability and disaster recovery strategies
  • Technical considerations
  • Rearchitecting applications for the cloud
  • Integrating the cloud with existing applications
  • Avoiding vendor lock-in
  • Planning the migration
  • Incremental vs
  • one-step solution
  • Selecting a vendor
  • Establishing staff skill requirements
  • What is Cloud Computing?
  • AWS Global Infrastructure and its benefits
  • EC2 and EC2 Instances
  • Amazon EC2
  • Storage Services and AWS CLI
  • Virtual Private Cloud & Direct Connect
  • Database Services
  • Elastic Load Balancing & Auto Scaling
  • Route 53 & Management Tools
  • Application Services, AWS Lambda & Elastic Beanstalk
  • OpsWorks, Security & Identity Services

Basic Web Designing Course

Posted on by ewsadmin
  • Basics of HTML
    • What is HTML?
    • HTML Tags
    • Web Browsers
    • HTML Page Structure
    • Write HTML Using Editors
    • HTML5 New Tags
  • HTML Elements & Tags
  • HTML Attributes
  • Images
    • Image Syntax
    • Alt
    • Image Title
    • Images as a LINK
    • Images in another Folder
  • List Tag
    • List Tag
    • Ordered List
    • Unordered List
    • Data Description List
  • Table Tag
    • Table Tag
    • Cell Span with Column
    • Cell Span With row
    • Cell Padding
    • Cell Spacing
    • Adding Cell Spacing
  • Links
    • Links Syntax
    • Internal Links
    • External Links
  • Audio and Video
    • Autoplay
    • Audio and Video Syntax
    • Playing Videos in HTML
  • Forms
    • Form Element
    • Form Action
    • Form Get & Post Method
    • Text Button
    • Radio Button Input
    • Submit Button
    • Select Element
    • Textarea
    • HTML Input Attributes
  • Google Maps
  • Upload File and Pages
  • Form Validations
  • Interview Questions Idea
(PART 1 : BASIC CSS)
  • What is CSS and CSS3 ?
  • Why use CSS ?
  • Types of CSS
    • Inline CSS
    • Internal CSS
    • External CSS
  • Syntax of CSS
  • CSS Selectors
  • Color and Background Properties
    • Color
    • Background attachment
    • background-color
    • background-image
    • background-repeat
    • background-position
  • Text Properties
    • letter-spacing
    • line-height
    • text-align
    • text-decoration
    • text-indent
    • text-transform
    • vertical-align
    • word-spacing
  • Font Properties
    • font-family
    • font-size
    • font-style
    • font-size
    • font-variant
    • font-weight
  • Border Properties
    • border-color
    • border-style
    • border-width
    • border-top-width
    • border-left-width
    • border-right-width
    • border-bottom-width
  • BOX Model
    • Margin – Top, Right, Bottom, Left
    • Padding-Top, Right, Bottom, Left
    • Height
    • Width
  • Position Properties
    • Position Fixed
    • Position Absolute
    • Position Relative
    • Position Static
  • Classification Properties
    • Z-index
    • Display
    • Visibility
    • white-space
(PART 2: ADVANCE CSS)
  • Transition with CSS3
    • Transition with Width
    • Transition with Height
    • Transition with Background
    • Border Transition
    • All Transition
  • Transform with CSS3
    • Rotate
    • Skew
    • Scale
    • Translate
  • Animation With CSS3
    • @ Keyframes Rules
    • Reverse Direction Animation
    • Animation Delay
  • Media Queries
    • @ Media for Responsive Designs
    • @ Keyframes
    • @ font-face
  • Introduction to JavaScript
  • Conditional Constructs to JavaScript
  • Looping statement in JavaScript
  • Working with Predefined functions
  • Maintaining Validations in JavaScript
  • Tools
  • Image Enhancement
  • Banner, Brochure and PSD Designs
  • Color Balancing
  • Create Template
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