Computer Basic Training Course in Govindpuri, New Delhi

History and Features of Java
JDK, JRE, and JVM
Java Program Structure
Data Types, Variables, and Operators
Control Statements (If-Else, Switch, Loops)
Java Naming Conventions
Java Packages and Access Modifiers

Classes and Objects
Constructors and Types
Inheritance and Polymorphism
Method Overloading and Overriding
Super and This Keywords
Abstraction and Encapsulation
Interfaces and Abstract Classes

Types of Exceptions
Try-Catch Block
Throw, Throws, and Finally
Custom Exceptions
Exception Propagation
Assertions in Java

List, Set, and Map Interfaces
ArrayList, LinkedList, HashSet, TreeSet
HashMap, LinkedHashMap, TreeMap
Iterator and ListIterator
Comparator and Comparable

Byte and Character Streams
File Handling in Java
BufferedReader and BufferedWriter
Object Serialization and Deserialization
Scanner Class
FileReader and FileWriter

Introduction to Threads
Thread Life Cycle
Thread Synchronization
Thread Communication
Executors Framework
Callable and Future
Deadlocks and Thread Safety

Introduction to JDBC
Types of JDBC Drivers
Connecting with MySQL Database
CRUD Operations with PreparedStatement
CallableStatement and Batch Processing
ResultSet and Transactions
Connection Pooling with HikariCP

Functional Interfaces and Lambda Expressions
Streams API
Default and Static Methods in Interfaces
Optional Class
New Date and Time API
Collectors and Parallel Streams

Introduction to Reflection
Creating Objects at Runtime
Method Invocation using Reflection
Java Annotations and Meta-Annotations
Custom Annotations
Annotation Processing

Spring Core Concepts
Dependency Injection (DI)
Spring Beans and Life Cycle
Autowiring and Stereotype Annotations
Spring Configuration using Java and XML
Spring Boot Overview

Spring Boot Architecture
Spring Boot Annotations
Spring Boot Auto-Configuration
Spring Boot Starter and Actuator
Spring Boot with Embedded Servers
Spring Boot Profiles and Properties

Introduction to REST API
Creating RESTful Endpoints
HTTP Methods (GET, POST, PUT, DELETE)
Consuming and Producing JSON
Exception Handling in REST APIs
Swagger Documentation
Securing REST APIs with JWT

Introduction to Spring MVC
DispatcherServlet and View Resolver
Model, View, and Controller (MVC Pattern)
Form Handling in Spring MVC
Thymeleaf Template Engine
Session Management in Spring MVC

Introduction to ORM
Hibernate Configuration with Spring Boot
JPA Entities and Relationships
Repository Pattern
Named Queries and Criteria API
Transactions and Caching
Pagination and Sorting

Introduction to Microservices
Monolithic vs Microservices Architecture
Characteristics of Microservices
Microservices Design Patterns
Challenges and Solutions in Microservices

Microservices Communication
Service Discovery with Eureka
Load Balancing with Ribbon
API Gateway with Spring Cloud Gateway
Centralized Configuration with Spring Cloud Config
Circuit Breaker with Resilience4j

Introduction to Messaging
Apache Kafka Overview
RabbitMQ with Spring Boot
Event-Driven Architecture
Asynchronous Communication in Microservices
Distributed Tracing with Sleuth and Zipkin

Introduction to Docker
Creating and Running Docker Containers
Dockerizing Spring Boot Applications
Kubernetes Basics
Deploying Microservices on Kubernetes
Service Discovery and Load Balancing in Kubernetes

Spring Security Basics
Authentication and Authorization
OAuth2 and JWT Authentication
Role-Based Access Control (RBAC)
API Gateway Security
Security Best Practices in Microservices

Unit Testing with JUnit
Mocking with Mockito
Integration Testing with Spring Boot
Test-Driven Development (TDD)
End-to-End Testing with Cucumber
Performance Testing with JMeter

Introduction to CI/CD
GitHub Actions and Jenkins for CI/CD
Building and Deploying with Maven and Gradle
Automated Deployment with Docker and Kubernetes
Monitoring with Prometheus and Grafana
Logging with ELK Stack (Elasticsearch, Logstash, Kibana)

Deploying Java Applications on AWS
AWS Lambda and Serverless Java
Using S3, RDS, and DynamoDB
Google Cloud and Azure for Java
Multi-Cloud Deployments

Java Memory Management and Garbage Collection
JVM Performance Optimization
Reactive Programming with Project Reactor
Java Virtual Threads (Loom Project)
Java Module System

Building a Full-Stack Java Application
Implementing Microservices with Spring Boot
Using Docker and Kubernetes for Deployment
Implementing Security and CI/CD
Final Project Deployment

Java Coding Challenges and Algorithms
Commonly Asked Interview Questions
Resume Preparation for Java Developers
Best Practices for Java Development
Industry Trends and Future Scope of Java

History and Features of Python
Python Interpreter and Environment
Python Program Structure
Data Types, Variables, and Operators
Control Statements (If-Else, Loops)
Python Naming Conventions
Python Packages and Access Modifiers

Classes and Objects
Constructors and Types
Inheritance and Polymorphism
Method Overloading and Overriding
Using super() for Parent Class Methods
Abstraction and Encapsulation
Abstract Base Classes and Interfaces

Types of Exceptions
Try-Except Block
Raise and Finally
Custom Exceptions
Exception Propagation
Assertions in Python

Lists, Tuples, and Sets
Dictionaries
Iterators and Generators
Comprehensions
Collections Module (Counter, defaultdict, etc.)

Reading and Writing Files
Working with CSV, JSON, and XML
Context Managers
Object Serialization with Pickle
Working with Binary Files

Introduction to Threads
Thread Life Cycle
Thread Synchronization
Thread Communication
Multiprocessing Module
Asynchronous Programming with asyncio
Deadlocks and Thread Safety

Introduction to Database Connectivity
Connecting with MySQL/PostgreSQL
CRUD Operations with SQLAlchemy
Working with ORM in Python
Connection Pooling and Transactions

Advanced Features in Python 3
Lambda Functions and Map/Filter/Reduce
Decorators and Generators
New Libraries and Modules
Asynchronous Programming Improvements

Introspection in Python
Creating Objects at Runtime
Dynamic Attribute Access
Decorators and Metaclasses
Annotation Processing (Type Hints)

Django Core Concepts
Model-View-Template (MVT) Architecture
Django Models and ORM
Views, URLs, and Templates
Django Admin Interface

Django Architecture
Settings and Configurations
Middleware and URL Routing
Environment Specific Settings

Introduction to Django MVC Pattern
URL Routing and Views
Django Template Engine
Form Handling
Session Management

Introduction to ORM
Django Models and Relationships
Query Optimization and Caching
Migrations and Data Management
Pagination and Sorting

Introduction to Microservices
Monolithic vs Microservices Architecture
Characteristics of Microservices
Microservices Design Patterns
Challenges and Solutions in Microservices

Microservices Communication
Service Discovery with Consul
Load Balancing with Nginx
API Gateway with Python-based Tools
Centralized Configuration
Circuit Breaker with Python Libraries

Introduction to Messaging
Apache Kafka Overview
RabbitMQ with Python
Event-Driven Architecture
Asynchronous Communication in Microservices
Distributed Tracing with OpenTracing

Introduction to Docker
Creating and Running Docker Containers
Dockerizing Python Applications
Kubernetes Basics
Deploying Microservices on Kubernetes
Service Discovery and Load Balancing in Kubernetes

Django Security Basics
Authentication and Authorization
OAuth2 and JWT Authentication
Role-Based Access Control (RBAC)
API Gateway Security
Security Best Practices in Microservices

Unit Testing with unittest
Mocking with unittest.mock
Integration Testing with Django
Test-Driven Development (TDD)
End-to-End Testing with Selenium or Behave
Performance Testing with Locust

Introduction to CI/CD
GitHub Actions and Jenkins for CI/CD
Building and Deploying with pip and virtualenv
Automated Deployment with Docker and Kubernetes
Monitoring with Prometheus and Grafana
Logging with ELK Stack

Deploying Python Applications on AWS
AWS Lambda and Serverless Python
Using S3, RDS, and DynamoDB
Google Cloud and Azure for Python
Multi-Cloud Deployments

Python Memory Management and Garbage Collection
Interpreter Performance Optimization
Reactive Programming with AsyncIO
Concurrency with Async and Await
Python Module System

Building a Full-Stack Python Application
Implementing Microservices with Django
Using Docker and Kubernetes for Deployment
Implementing Security and CI/CD
Final Project Deployment

Python Coding Challenges and Algorithms
Commonly Asked Interview Questions
Resume Preparation for Python Developers
Best Practices for Python Development
Industry Trends and Future Scope of Python

Understanding Full Stack Development
Overview of Frontend, Backend, and Database
Career Scope & Industry Trends

Introduction to C# and .NET Framework
Data Types, Variables, and Operators
Control Structures (Loops, Conditions)
Functions and Methods
Exception Handling and Debugging
Object-Oriented Programming (OOPs) in C#
Collections and LINQ

Evolution of .NET Framework
.NET Core vs .NET 6+
Setting up .NET Development Environment
Console Applications in .NET

Introduction to Model-View-Controller (MVC)
Creating ASP.NET MVC Applications
Controllers and Routing
Views and Razor Syntax
Model Binding and Data Validation

Basics of HTML5 & Semantic Elements
CSS3: Styling and Layout Techniques
JavaScript Fundamentals
DOM Manipulation
Responsive Web Design with Bootstrap

Introduction to Angular / React
Components, Modules, and Routing
Forms Handling and Validation
API Integration with HTTP Calls
State Management

Introduction to SQL Server
Database Design and Normalization
CRUD Operations in SQL
Stored Procedures and Triggers
Performance Optimization

Introduction to ORM & Entity Framework
Code-First vs Database-First Approach
Migrations and Model Binding
Querying Data using LINQ

Implementing Identity in ASP.NET Core
Role-Based and Policy-Based Authorization
OAuth & JWT Authentication

Introduction to RESTful Services
Creating and Consuming Web APIs
CRUD Operations using Web API
Implementing Authentication in APIs
API Versioning and Documentation with Swagger

Microservices Architecture Basics
Building Microservices with .NET Core
Communication Between Microservices
API Gateway and Docker Integration

Asynchronous Programming with Async & Await
Multithreading and Parallel Processing
Dependency Injection in .NET Core
Reflection and Dynamic Programming

Git Basics and Commands
Branching, Merging, and Rebasing
Pull Requests and Code Reviews
GitHub Actions for CI/CD

Introduction to CI/CD
Building and Deploying .NET Applications
Using Jenkins, Azure DevOps, or GitHub Actions
Automated Testing in CI/CD

Hosting on IIS & Windows Server
Cloud Deployment on Azure & AWS
Containerizing .NET Apps using Docker
Kubernetes for .NET Applications

Caching and Performance Optimization
Implementing Logging using Serilog
Middleware and Filters in ASP.NET Core

Introduction to SignalR
Implementing WebSockets and Real-Time Communication
Use Cases: Chat Apps & Live Notifications

Unit Testing with xUnit / NUnit
Integration Testing in .NET Core
Debugging & Profiling .NET Applications

Introduction to Windows Forms & WPF
Building Desktop Applications with .NET
Packaging and Deployment

Introduction to Blazor Framework
Building Interactive UIs with Blazor
Blazor vs Angular/React

Understanding SOLID Principles
Repository & Unit of Work Patterns
Factory, Singleton, and Mediator Patterns

Introduction to GraphQL
Implementing GraphQL APIs
Query Optimization

Best Practices for Performance Tuning
Secure Coding Practices
Preventing SQL Injection & Cross-Site Scripting (XSS)

Developing a Real-World .NET Full Stack Application
Code Reviews and Optimization
Deploying to Cloud (Azure/AWS)

Common .NET Full Stack Interview Questions
Resume Building & Portfolio Creation
Mock Interviews with Industry Experts

Understanding Full Stack Development
Overview of Frontend, Backend, and Database
Career Scope & Industry Trends

Introduction to PHP
Variables, Data Types, and Operators
Control Structures (Loops, Conditions)
Functions and Error Handling
Object-Oriented Programming in PHP
Collections and Array Functions

PHP 7+ Features and Improvements
Advanced OOP and Design Patterns
Dependency Injection and Composer
Error Handling, Logging, and Debugging

Introduction to MVC Architecture
Creating Applications with Laravel or Symfony
Routing, Controllers, and Views
Model Binding and Data Validation

Basics of HTML5 & Semantic Elements
CSS3: Styling and Layout Techniques
JavaScript Fundamentals
DOM Manipulation
Responsive Web Design with Bootstrap

Introduction to Angular / React
Components, Modules, and Routing
Forms Handling and Validation
API Integration with HTTP Calls
State Management

Introduction to MySQL
Database Design and Normalization
CRUD Operations and Query Optimization
Stored Procedures and Triggers

Introduction to ORM (Eloquent/Doctrine)
Code-First vs. Database-First Approach
Migrations and Model Binding
Querying Data using ORM Techniques

Implementing User Authentication
Role-Based and Token-Based Authorization
OAuth & JWT for PHP Applications

Introduction to RESTful Services
Building APIs using Laravel/Lumen
CRUD Operations using Web API
API Authentication and Versioning
API Documentation with Swagger

Microservices Architecture Basics
Building Microservices with PHP
Inter-Service Communication
API Gateway and Container Integration

Caching and Performance Optimization
Error Handling and Debugging Techniques
Advanced OOP and Design Patterns in PHP

Git Basics and Commands
Branching, Merging, and Rebasing
Pull Requests and Code Reviews
GitHub Actions for CI/CD

Introduction to CI/CD
Building and Deploying PHP Applications
Using Jenkins, Azure DevOps, or GitHub Actions
Automated Testing in CI/CD

Hosting on Apache/Nginx
Cloud Deployment on AWS & Azure
Containerizing PHP Apps using Docker
Kubernetes for PHP Applications

Caching and Middleware in Laravel/Symfony
Logging and Monitoring
Advanced Routing and Service Providers

Introduction to Real-Time Communication
Implementing WebSockets with Ratchet or Pusher
Use Cases: Chat Apps & Live Notifications

Unit Testing with PHPUnit
Integration Testing in PHP
Debugging & Profiling Techniques

Overview of WordPress, Drupal, and Joomla
Customizing Themes and Plugins
Performance Optimization for CMS

Composer and PSR Standards
Modern PHP Practices and Tools
Microservices and Serverless PHP

Understanding SOLID Principles
Common PHP Design Patterns
Repository and Singleton Patterns

Introduction to GraphQL
Implementing GraphQL APIs using PHP Libraries
Query Optimization

Best Practices for Performance Tuning
Secure Coding Practices
Preventing SQL Injection & Cross-Site Scripting (XSS)

Developing a Real-World PHP Full Stack Application
Code Reviews and Optimization
Deploying to Cloud (Azure/AWS)

Common PHP Full Stack Interview Questions
Resume Building & Portfolio Creation
Mock Interviews with Industry Experts

Understanding Web Development
Frontend vs Backend Development
Introduction to MERN Stack
Setting up Development Environment (VS Code, Git, Postman)

HTML Elements & Structure
Forms, Tables, and Multimedia Elements
CSS Basics, Selectors, and Box Model
Responsive Design (Flexbox & Grid)

JavaScript Basics: Variables, Data Types, and Operators
Functions and Scope
DOM Manipulation and Event Handling
ES6+ Features: Let, Const, Arrow Functions, Template Literals

Callbacks, Promises, and Async/Await
Error Handling and Debugging
Working with Fetch API & AJAX
Introduction to APIs & RESTful Services

Node.js Installation & Setup
Fundamentals and NPM
Building a Basic Server with Express.js
Middleware and Routing in Express

Parsing Request Data (Body Parser)
Form Handling and Validation
File Uploads with Multer
Session & Cookie Management

Introduction to MongoDB & NoSQL
Setting up MongoDB and Atlas
CRUD Operations using Mongoose
Schema Design and Data Validation

Designing RESTful APIs
Implementing API Endpoints with Express
Authentication & Authorization in APIs
API Documentation with Swagger

Implementing Authentication in Node.js
JWT Token Management
Role-Based Access Control
Securing API Endpoints

Introduction to React and Virtual DOM
JSX, Components, and Props
State Management with Hooks
React Router for Navigation

Context API & Redux for State Management
API Calls using Axios or Fetch
React Forms & Validations
Performance Optimization (Lazy Loading, Memoization)

Setting Up a Full Stack MERN App
Integrating Express, MongoDB, and React
Implementing CRUD Operations
Error Handling and Debugging

Introduction to WebSockets
Implementing Chat Applications with Socket.io
Real-Time Notifications
Scaling WebSocket Applications

Introduction to GraphQL vs REST
Building GraphQL APIs with Node.js
Querying Data in React with Apollo Client
Optimizing GraphQL Queries

Integrating Stripe & PayPal
Handling Webhooks & Transactions
Subscription Models & Recurring Payments

Introduction to Docker and Containers
Dockerizing MERN Applications
Setting Up Docker Compose
Best Practices for Containerized Apps

Introduction to CI/CD Concepts
Setting Up Pipelines with GitHub Actions or Jenkins
Automated Testing and Deployment
Monitoring and Rollback Strategies

Deploying MERN Apps on AWS, Azure, or Heroku
Setting Up Load Balancers and Auto Scaling
Serverless Deployment Options
CI/CD in the Cloud

Introduction to Microservices
Building Microservices with Node.js
Inter-Service Communication & API Gateways
Container Orchestration with Kubernetes

Caching Strategies (Redis, etc.)
Optimizing Frontend and Backend Performance
Secure Coding Practices and Vulnerability Scanning
Load Balancing and Scalability

SaaS Architecture & Multi-Tenancy
Implementing Subscription and Billing Systems
API Rate Limiting and Analytics
Scaling SaaS Solutions

Unit Testing with Jest and Mocha
Integration and End-to-End Testing with Cypress
Performance Testing and Profiling
Continuous Integration and Quality Gates

Introduction to PWAs
Service Workers and Offline Capabilities
Creating a Responsive and Engaging PWA
Performance and SEO Optimization

Developing a Real-World MERN Application
Agile Development and Code Reviews
Deployment, Monitoring, and Scaling
Final Project Presentation

Resume Building & Portfolio Creation
Common MERN Stack Interview Questions
Soft Skills for Developers
Mock Interviews and Career Guidance

Understanding Web Development
Frontend vs Backend
Client-Server Architecture
Overview of PHP and MEAN Stack

HTML Structure & Tags
Forms and Inputs
CSS Selectors and Properties
Responsive Design with Media Queries

JavaScript Basics (Variables, Loops, Functions)
DOM Manipulation
ES6 Features (Let, Const, Arrow Functions, Template Literals)
Event Handling

PHP Installation & Setup
Syntax and Variables
PHP Functions & Arrays
Form Handling in PHP

Database Connectivity
CRUD Operations
User Authentication System
Prepared Statements and Security

PHP Sessions & Cookies
File Handling
Working with APIs in PHP
Sending Emails with PHP

Overview of Frontend Frameworks
Choosing Between Angular & Vue.js

Setting Up Angular Environment
Components & Data Binding
Angular Services and Dependency Injection
Routing and Navigation

Angular Directives & Pipes
State Management with NgRx
Integrating APIs in Angular
Deploying Angular Applications

Understanding Node.js
Setting Up Express.js
Routing in Express.js
Middleware & Error Handling

NoSQL vs SQL Databases
CRUD Operations in MongoDB
Mongoose for MongoDB
Aggregation Framework

API Design Principles
Creating API Endpoints
Authentication & JWT
Error Handling in APIs

Fetching Data from APIs
Handling CORS Issues
Implementing Authentication
State Management in Full-Stack Apps

Setting Up Project Structure
User Authentication (JWT, OAuth)
Product Management System
Payment Gateway Integration

Performance Comparison
Use Cases of PHP and Node.js
Choosing the Right Stack for a Project

SQL Injection & Prevention
Cross-Site Scripting (XSS)
Cross-Site Request Forgery (CSRF)
HTTPS & Data Encryption

Introduction to DevOps for Web Developers
Continuous Integration & Deployment
Using Docker for Web Apps
Automating Deployments with Jenkins

Introduction to WebSockets
Implementing Chat Applications
Real-time Notifications in Web Apps
Scaling WebSockets with Redis

Unit Testing with Jest
API Testing with Postman
End-to-End Testing with Cypress

Introduction to AWS & Firebase
Deploying MEAN & PHP Apps on Cloud
Using Serverless Functions

Introduction to GraphQL
Creating GraphQL APIs
Integrating GraphQL with Angular

Introduction to Headless CMS
Using Strapi & WordPress as Headless CMS
Integrating with Frontend Frameworks

Role-Based Access Control (RBAC)
OAuth2 & Social Logins
Implementing Multi-Factor Authentication

Code Splitting & Lazy Loading
Server-side Rendering (SSR)
Caching Strategies (Redis, CDN)

Planning & Designing the App
Database & Backend Development
Frontend Integration
Testing & Deployment

Python Core To Advance Detailed Course Syllabus

Overview of Data Analytics
Python’s Role in Analytics
Key Tools & Libraries (NumPy, Pandas, Matplotlib)
Setting Up the Python Environment

Basic Syntax, Data Types, & Variables
Control Structures & Functions
Data Structures (Lists, Tuples, Dicts, Sets)
Introduction to Jupyter Notebooks

DataFrames & Series
Data Cleaning & Transformation
Filtering, Sorting, & Aggregation
Merging & Joining Datasets

Basics of Matplotlib
Advanced Visuals with Seaborn
Interactive Plots with Plotly
Dashboarding Concepts

Descriptive vs Inferential Statistics
Probability Distributions
Hypothesis Testing & p-values
Correlation & Regression Analysis

Handling Missing & Outlier Data
Data Normalization & Transformation
Feature Engineering & Selection
Working with Text Data

Overview of ML Concepts
Supervised vs Unsupervised Learning
Using Scikit-Learn for Modeling
Model Evaluation Techniques

Time Series Analysis & Forecasting
Text Analytics & NLP Basics
Advanced Visualization Tools
Custom Analytics Workflows

Data Sourcing & API Integration
Web Scraping Techniques
Building ETL Pipelines
Data Storage Options

End-to-End Project Workflow
Case Studies & Data Storytelling
Building Interactive Dashboards
Reporting & Insights Presentation

Data Privacy & Security Best Practices
Ethical Data Use
Regulatory Compliance Standards
Data Governance Practices

Building a Comprehensive Project
End-to-End Data Workflows
Interview Preparation Tips
Industry Trends & Best Practices

Techniques for Data Cleaning
Ensuring Data Quality
Handling Inconsistent Data
Data Validation Methods

Time Series Data Concepts
Date-Time Manipulation with Pandas
Trend & Seasonality Analysis
Forecasting Techniques

Introduction to Geospatial Data
Working with GeoPandas
Mapping and Spatial Analysis
Integrating GIS Data

Consuming RESTful APIs
Integrating Third-Party Data Sources
Data Merging from Multiple Sources
Real-Time Data Ingestion

Ensemble Methods
Model Tuning & Optimization
Deep Learning Basics
Advanced Evaluation Metrics

Introduction to Apache Spark
PySpark Basics
Processing Big Data
Integrating Spark with Pandas

Automating Data Pipelines
Writing Reusable Scripts
Scheduling with Cron & Task Schedulers
Monitoring & Logging Automation Tasks

Creating Automated Reports
Dashboard Development with Dash/Streamlit
Introduction to BI Tools
Data-Driven Decision Making

VBA Data Analytics Course Syllabus

Overview of Data Analytics
VBA’s Role in Excel-based Analytics
Key Tools & Techniques (Excel, Access, Power Query)
Setting Up the VBA Environment

Basic VBA Syntax, Data Types, & Variables
Control Structures & Looping
Working with Arrays and Collections
Introduction to the VBA Editor and Debugging

Accessing and Modifying Excel Ranges
Data Cleaning and Transformation
Sorting, Filtering, and Aggregating Data
Automating Data Import and Export

Creating Charts and Graphs via VBA
Customizing Excel Dashboards
Dynamic Data Visualization Techniques
Integrating VBA with Excel's Native Tools

Descriptive vs Inferential Statistics
Utilizing Excel Functions via VBA
Hypothesis Testing and Data Trends
Regression Analysis and Forecasting

Handling Missing and Erroneous Data
Data Normalization and Transformation
Automating Data Cleaning Tasks
Working with Text and Numeric Data

Overview of Predictive Modeling Concepts
Implementing Simple Forecasting Models
Using VBA for Data Trend Analysis
Model Evaluation Techniques

Time Series Analysis and Forecasting
Advanced Charting Techniques
Custom Functions for Analytics
Integrating VBA with Advanced Excel Tools

Automating Data Import from Various Sources
Extracting Data from Web and Databases
Building Custom ETL Pipelines
Exporting Data for Analysis

End-to-End Project Workflow
Case Studies in Excel Automation
Building Interactive Dashboards
Presenting Data Insights

Data Privacy and Security Best Practices
Ethical Data Handling in Excel
Regulatory Compliance and Standards
Data Governance in Office Environments

Developing a Comprehensive Analytics Project
Applying End-to-End Data Workflows in Excel
Preparing for VBA and Excel Interviews
Industry Best Practices

Techniques for Cleaning Raw Data
Validating Data Accuracy
Automating Quality Checks
Error Handling in VBA Scripts

Time Series Data Concepts
Date-Time Manipulation using VBA
Trend and Seasonality Analysis
Forecasting Techniques in Excel

Analyzing Financial Statements
Budgeting and Forecasting Models
Risk Analysis and Sensitivity Testing
Creating Financial Dashboards

Connecting to External Data Sources
Consuming RESTful APIs via VBA
Merging Data from Multiple Sources
Automating Data Refresh Processes

Complex Modeling Techniques
Optimization and Solver Integration
Scenario and Sensitivity Analysis
Forecasting with Advanced Excel Tools

Handling Large Datasets in Excel
Performance Optimization in VBA
Integrating with External Databases
Automating Data Aggregation

Automating Repetitive Tasks in Excel
Writing Reusable VBA Functions
Scheduling Automated Reports
Monitoring and Logging Script Execution

Creating Automated Reports in Excel
Developing Interactive Dashboards
Integrating VBA with BI Tools
Data-Driven Decision Making Strategies

SQL Beginner To Professional Trainings

Overview of Data Analytics
Role of SQL in Data Analytics
History & Evolution of SQL
Relational vs NoSQL Databases

Installing and Configuring SQL Databases
SQL Syntax and Conventions
Basic SELECT Queries
Introduction to SQL Editors

Understanding SQL Data Types
Creating Tables and Schemas
Primary and Foreign Keys
Constraints and Indexes

Inserting Data (INSERT)
Updating Data (UPDATE)
Deleting Data (DELETE)
Transaction Control (COMMIT, ROLLBACK)

SELECT Statements
WHERE Clause and Conditions
Sorting and Limiting Data
Using Wildcards and Pattern Matching

Inner, Left, Right, and Full Joins
Self Joins
Cross Joins
Join Best Practices

Aggregate Functions (SUM, AVG, COUNT, etc.)
GROUP BY and HAVING Clauses
Combining Aggregates with Joins
Practical Examples and Use Cases

Writing Basic Subqueries
Correlated vs. Non-Correlated Subqueries
Using Subqueries in SELECT, FROM, and WHERE
Performance Considerations

Built-in String, Numeric, and Date Functions
Conditional Expressions (CASE)
User-Defined Functions
Expression and Data Conversion Techniques

Identifying and Handling Inconsistent Data
Data Validation Techniques
Using SQL for Data Profiling
Maintaining Data Integrity

Concepts of Normalization and Denormalization
Entity-Relationship Diagrams (ERD)
Designing Efficient Schemas
Best Practices in Database Design

Complex Join Conditions
UNION, INTERSECT, and EXCEPT Operators
Combining Data from Multiple Tables
Performance Optimization Tips

Introduction to Window Functions
Ranking, Row Number, and Partitioning
Running Totals and Moving Averages
Use Cases in Data Analytics

Creating and Managing Stored Procedures
User-Defined Functions
Debugging and Optimization
Real-World Use Cases

Understanding Indexes
Query Optimization Techniques
Analyzing Query Execution Plans
Tuning SQL Performance

Concepts of Data Warehousing
Designing ETL Processes with SQL
Data Integration Techniques
Case Studies in ETL

Overview of Cloud SQL Platforms
Introduction to BigQuery, Redshift, etc.
Scaling SQL for Big Data
Data Migration Techniques

User Roles and Permissions
Data Encryption Techniques
Auditing and Compliance
Best Practices in Database Security

Building Reports with SQL
Integrating with BI Tools
Data Visualization Strategies
Real-Time Analytics Dashboards

Developing a Comprehensive SQL Project
End-to-End Data Analytics Workflow
Interview Preparation and Best Practices
Future Trends in SQL and Data Analytics

TableAU Data Analytics Course Syllabus

Overview of Data Analytics
TableAU’s Role in Data Visualization
Key Concepts and Terminology
Course Objectives and Outcomes

Installing and Setting Up TableAU
Understanding the Interface
Navigating the Workspace
Basic Project Setup and Data Connection

Data Connection Options
Connecting to Spreadsheets and Databases
Live vs Extract Connections
Data Source Filters

Data Profiling Techniques
Handling Missing and Inconsistent Data
Data Blending and Joins
Using TableAU Prep for Data Cleaning

Bar Charts, Line Graphs, and Pie Charts
Scatter Plots and Histograms
Customizing Visual Elements
Best Practices in Visualization

Dual-Axis and Combined Charts
Heat Maps and Tree Maps
Custom Calculations and Table Calculations
Advanced Formatting Options

Dashboard Design Principles
Creating Interactivity with Filters and Actions
Storytelling with Data
Mobile Responsive Design

Creating Calculated Fields
Level of Detail (LOD) Expressions
Statistical Analysis within TableAU
Trend Lines and Forecasting

Principles of Data Storytelling
Combining Visuals and Narratives
Best Practices in Presentation
Creating Impactful Data Stories

Combining Multiple Data Sources
Data Joins and Relationships
Handling Data Granularity
Blending vs. Joining Techniques

Best Practices for Data Extracts
Performance Optimization Techniques
Indexing and Query Optimization
Troubleshooting Slow Dashboards

Custom Visualizations
Using Map Visualizations
Integrating R and Python Scripts
Visualization Best Practices

Techniques for Data Cleaning
Ensuring Data Accuracy
Data Validation Methods
Quality Assurance Best Practices

Time Series Concepts
Date-Time Manipulation
Trend Analysis and Forecasting
Visualizing Time-Based Data

Introduction to Geospatial Data
Mapping Techniques in TableAU
Spatial Data Visualization
Using Custom Geocoding

Integrating External Data Sources
Consuming RESTful APIs
Blending Data from Multiple Sources
Real-Time Data Integration

Introduction to Predictive Analytics
Building Predictive Models
Using TableAU’s Advanced Analytics Tools
Model Evaluation Techniques

Connecting TableAU with Big Data Platforms
Integration with Hadoop and Spark
Handling Large Datasets
Performance Best Practices

Scheduling Data Refreshes
Automating Reports and Dashboards
Scripting with TableAU Extensions
Monitoring and Maintenance

Creating Automated Reports
Developing Executive Dashboards
Introduction to BI Concepts
Data-Driven Decision Making

Advanced Excel for Data Analytics Course Syllabus

Course Overview & Objectives
Importance of Excel in Data Analytics
Real-World Applications
Software & Resources Setup

Ribbon, Toolbars & Menus
Customizing the Workspace
Keyboard Shortcuts & Productivity Tips
Workbook and Worksheet Management

Logical Functions (IF, AND, OR, NOT)
Lookup & Reference Functions (VLOOKUP, INDEX/MATCH)
Array Formulas and Dynamic Arrays
Text and Date Functions

Removing Duplicates and Errors
Text-to-Columns and Flash Fill
Data Formatting Techniques
Cleaning Large Data Sets

Setting Data Validation Rules
Creating Drop-down Lists
Advanced Conditional Formatting Techniques
Visual Data Alerts

Creating and Customizing Pivot Tables
Grouping and Filtering Data
Pivot Charts and Slicers
Advanced Data Summarization Techniques

Understanding Data Models
Creating Relationships between Tables
Using the Data Model in Analysis
Best Practices for Data Organization

Introduction to Power Query
Importing Data from Various Sources
Data Transformation Techniques
Merging and Appending Queries

Overview of Power Pivot
Importing and Integrating Data
Creating Calculated Columns and Measures
Building Data Models for Analysis

Understanding DAX Basics
Common DAX Functions
Creating Calculated Fields
DAX Best Practices

Custom Chart Types
Combination Charts
Creating Interactive Visuals
Visual Storytelling with Data

Designing Effective Dashboards
Data Visualization Best Practices
Interactive Reporting Elements
Sharing and Publishing Dashboards

Descriptive Statistics
Regression Analysis
Data Distributions and Variability
Statistical Functions in Excel

Scenario Manager
Goal Seek and Data Tables
Sensitivity Analysis
Forecasting with What-If Tools

Introduction to Solver
Setting Up Optimization Models
Constraint Management
Real-World Optimization Problems

Recording and Editing Macros
Introduction to VBA
Automating Routine Tasks
Error Handling and Debugging

Connecting to Databases
Importing Data from Web and APIs
Using ODBC Connections
Data Refresh and Scheduling

Protecting Workbooks and Data
User Permissions and Sharing
Collaboration Tools in Excel
Cloud Integration (OneDrive, SharePoint)

Formula Auditing Tools
Error Checking and Debugging
Workbook Optimization
Excel Best Practices

Project Planning and Data Collection
Applying Advanced Excel Techniques
Dashboard and Report Creation
Presentation and Peer Review

R-Programming For Beginner To Advance

Overview of Data Analytics
R’s Role in Data Analysis
Key Tools & Libraries (tidyverse, data.table)
Setting Up the R Environment

Basic Syntax, Data Types, & Variables
Control Structures & Functions
Data Structures (vectors, lists, data frames, matrices)
Introduction to RStudio and R Notebooks

Understanding Data Frames
Filtering, Arranging, and Mutating Data
Grouping and Summarizing Data
Joining and Merging Datasets

Introduction to ggplot2
Creating Basic Plots (bar, line, scatter)
Customizing Themes & Aesthetics
Advanced Visualizations & Interactive Plots

Descriptive vs Inferential Statistics
Probability Distributions
Hypothesis Testing & p-values
Correlation & Regression Analysis

Handling Missing & Outlier Data
Data Normalization & Transformation
Feature Engineering & Selection
Working with Text and Categorical Data

Overview of Machine Learning Concepts
Supervised vs Unsupervised Learning
Using caret and mlr Packages
Model Evaluation Techniques

Time Series Analysis & Forecasting
Text Analytics & Natural Language Processing
Advanced Visualization Tools
Custom Analytics Workflows

Data Sourcing & API Integration
Web Scraping with rvest
Building ETL Pipelines
Data Storage Options

End-to-End Project Workflow
Case Studies & Data Storytelling
Building Interactive Dashboards with Shiny
Reporting & Insights Presentation

Data Privacy & Security Best Practices
Ethical Data Use in R
Regulatory Compliance Standards
Data Governance Practices

Building a Comprehensive Project
End-to-End Data Workflows
Interview Preparation Tips
Industry Trends & Best Practices

Techniques for Data Cleaning
Ensuring Data Quality
Handling Inconsistent Data
Data Validation Methods

Time Series Data Concepts
Date-Time Manipulation in R
Trend & Seasonality Analysis
Forecasting Techniques

Introduction to Geospatial Data
Working with sf and sp Packages
Mapping and Spatial Analysis
Integrating GIS Data

Consuming RESTful APIs with R
Integrating Third-Party Data Sources
Merging Data from Multiple Sources
Real-Time Data Ingestion

Ensemble Methods in R
Model Tuning & Optimization
Introduction to Deep Learning
Advanced Evaluation Metrics

Introduction to Apache Spark
Using sparklyr for Big Data
Processing Large Datasets
Integrating Spark with R Data Frames

Automating Data Pipelines in R
Writing Reusable R Scripts
Scheduling Tasks with R Scripts
Monitoring & Logging Automation Tasks

Creating Automated Reports with R Markdown
Dashboard Development with Shiny
Introduction to BI Tools
Data-Driven Decision Making

Overview of SAS and its applications
SAS architecture and interface
Installing and setting up SAS
Navigating the SAS environment

Understanding datasets and libraries
Importing and exporting data (Excel, CSV, SQL)
Data input methods in SAS
Working with temporary and permanent datasets

Introduction to SAS programming syntax
Variables, datasets, and data types
Data step processing
Procedures (PROC) and functions

Data filtering and sorting
Combining datasets using SET, MERGE, and JOIN
Data transformation techniques
Handling missing values

Numeric functions (SUM, MEAN, MIN, MAX)
Character functions (SUBSTR, COMPRESS, SCAN)
Date and time functions (TODAY, INTCK, INTNX)
Special functions for data formatting

Introduction to PROC SQL
Writing basic and advanced SQL queries in SAS
Joins, unions, and subqueries
Creating and updating tables

Handling missing and duplicate data
Data standardization techniques
Creating derived variables
Using PROC FORMAT for categorization

Introduction to SAS macros
Macro variables and functions
Writing reusable macro programs
Automating repetitive tasks with macros

Working with arrays in SAS
Do loops and conditional processing
Iterative processing of data
Advanced looping techniques

Descriptive statistics with PROC MEANS and PROC UNIVARIATE
Hypothesis testing with PROC TTEST
ANOVA and regression analysis
Data distribution analysis

Introduction to SAS visualization tools
Creating bar charts, histograms, and scatter plots
Advanced visualization with PROC SGPLOT and PROC GCHART
Customizing graphs and reports

Introduction to predictive analytics
Regression models (linear, logistic)
Decision trees and random forests
Model evaluation and validation

Understanding time series data
Forecasting techniques
Moving averages and exponential smoothing
Time series modeling with PROC TIMESERIES

Introduction to SAS Viya and SAS Enterprise Miner
Building ML models using PROC HPFOREST, PROC HPNEURAL
Supervised vs. Unsupervised Learning
Model tuning and optimization

Working with large datasets efficiently
Using PROC SQL for big data
Hadoop and SAS integration
Optimizing performance with indexing

Running SAS on AWS, Azure, and GCP
Cloud storage and processing with SAS
Connecting SAS to cloud-based databases
Security considerations for cloud-based SAS solutions

Creating reports using PROC REPORT
Customizing dashboards in SAS Visual Analytics
KPI tracking and performance measurement
Real-world case studies

Case studies in healthcare data analysis
Fraud detection in financial analytics
Risk modeling and credit scoring
Real-world implementation projects

Overview of SAS certification tracks
Exam format and preparation strategies
Sample questions and mock tests
Tips for passing SAS certification exams

End-to-end data analytics project using SAS
Implementing data preprocessing, analysis, and visualization
Predictive modeling and reporting
Presentation and real-world application

AI for Data Analytics Course Syllabus

Overview of Data Analytics & AI
Role of AI in Enhancing Data Insights
Key Technologies (Machine Learning, Deep Learning)
Setting Up the AI Tools & Environment

Basic AI Concepts & Terminologies
Overview of Machine Learning Algorithms
Data Processing & Preparation for AI
Tools & Libraries for AI (scikit-learn, TensorFlow, etc.)

Data Preprocessing & Cleaning
Feature Engineering for Machine Learning
Data Transformation & Integration
Merging and Integrating Datasets

Visualizing Data for AI
Using Matplotlib, Seaborn, & Plotly
Interactive Visualizations
Dashboarding Concepts for Real-Time AI Insights

Descriptive vs Inferential Statistics
Probability Distributions in AI
Hypothesis Testing for Model Validation
Regression Analysis & Statistical Inference

Handling Missing Data in AI Pipelines
Data Normalization for AI Algorithms
Feature Selection Techniques
Preprocessing Text Data for NLP Tasks

Overview of Machine Learning
Supervised vs Unsupervised Learning
Building AI Models with ML Techniques
Model Evaluation & Validation

Deep Learning Fundamentals
Neural Networks & Their Applications
Reinforcement Learning Basics
AI Model Deployment Techniques

Data Sourcing & API Integration
Web Scraping for AI Datasets
Building ETL Pipelines
Data Storage Strategies for AI

End-to-End AI Project Workflow
Industry Case Studies
Building AI Dashboards
Reporting AI-Driven Insights

Data Privacy in AI Applications
Ethical Considerations in AI
Regulatory Standards for AI Systems
AI Data Governance Practices

Building a Comprehensive AI Project
Integrating End-to-End AI Data Workflows
Interview Preparation for AI Roles
Industry Trends & Best Practices

Techniques for Cleaning Data
Ensuring Data Quality in AI Projects
Handling Inconsistencies in Datasets
Data Validation Methods

Concepts of Time Series Data
Date-Time Manipulation for AI
Forecasting Using AI Models
Trend & Seasonality Analysis

AI Applications in Geospatial Analytics
Working with Geospatial Datasets
Mapping and Spatial Analysis
Integrating GIS Data with AI Models

Consuming RESTful APIs for AI
Integrating Third-Party Data Sources
Merging Data from Multiple Sources
Real-Time Data Ingestion for AI Models

Ensemble Methods in AI
Hyperparameter Tuning & Optimization
Deep Learning Techniques
Advanced Evaluation Metrics

Introduction to Big Data in AI
Using PySpark for AI Projects
Processing Large Datasets
Integrating Spark with AI Analytics Tools

Automating AI Data Workflows
Writing Reusable AI Scripts
Scheduling with Cron & Task Schedulers
Monitoring & Logging AI Tasks

Creating Automated AI Reports
Dashboard Development with Dash/Streamlit
Introduction to Business Intelligence Tools
Data-Driven Decision Making with AI