Most popular
-17%
Data Science & Data Analysis
What you'll learn
• Introduction to data science, data analytics, and their applications
• Data collection, cleaning, and preprocessing
• Exploratory Data Analysis (EDA) with Python (Pandas, NumPy)
• Data visualization using Matplotlib, Seaborn, and Power BI/Tableau
• SQL for querying and managing databases
• Statistical concepts: probability, hypothesis testing, correlation, regression
• Basics of machine learning models (classification, regression, clustering)
• Working with real-world datasets and case studies
• Building dashboards and data reports
• Best practices for data storytelling and presentation
Free
Natural Language Processing (NLP)
What you'll learn
• Named Entity Recognition (NER)
• Working with popular NLP libraries (NLTK, spaCy, Transformers)
• Building chatbots and text-based AI applications
• Real-world NLP project implementation
-17%
Core Java Programming
What you'll learn
Understand Java basics: syntax, data types, variables, operators, and control statements.
Work with object-oriented concepts: classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Use exception handling and debugging techniques.
Work with Java collections, generics, and multithreading.
Perform file handling and I/O operations.
Understand JDBC (Java Database Connectivity) for database interactions.
Write reusable and modular Java code.
Build small applications and prepare for advanced frameworks (Spring, Hibernate).
-17%
Python Programming (Core + Advanced)
What you'll learn
Core Python:
• Introduction to Python and environment setup
• Variables, data types, and type casting
• Operators and expressions
• Conditional statements and loops
• Functions, parameters, and return values
• Python data structures: lists, tuples, dictionaries, sets
• String handling and formatting
• Modules and packages
• File handling (read/write operations)
• Exception handling
Advanced Python:
• Object-Oriented Programming (OOP) in Python: classes, objects, inheritance, polymorphism
• Iterators and generators
• Decorators and closures
• Regular expressions
• Working with JSON and CSV data
• Lambda functions and list comprehensions
• Python libraries for various domains (NumPy, Pandas, Matplotlib basics)
• Multithreading and multiprocessing
• Database connectivity (MySQL/PostgreSQL)
• Best practices and coding standards
Featured
-20%
Web Development (HTML, CSS, JavaScript & Bootstrap)
What you'll learn
• HTML : HTML basics, tags, attributes, and document structure
Forms, tables, multimedia integration, Semantic HTML for accessibility and SEO.
• CSS : Inline, internal, and external CSS,CSS selectors, properties, and values, Colors, backgrounds, borders, and gradients, Box model, positioning, and layout techniques (Flexbox & Grid), CSS animations and transitions
•JavaScript: JavaScript syntax, variables, and data types, Functions, events, and DOM manipulation, Conditional statements and loops, Arrays, objects, and JSON handling, Form validation and interactive features
• Bootstrap: Introduction to Bootstrap framework, Responsive design with grid system, Navigation bars, buttons, cards, and modals
Using Bootstrap utilities and components, Customizing Bootstrap themes
-81%
Full Stack Development with Python & Django
What you'll learn
Front-End Development:
• HTML5: Structure and semantic markup
• CSS3: Styling, layouts (Flexbox & Grid), animations
• JavaScript: DOM manipulation, events, ES6 features
• Bootstrap: Responsive design, UI components
Back-End Development with Python/Django:
• Python fundamentals & advanced concepts
• Django framework architecture and MVC pattern
• Creating Django models, views, templates
• Working with Django forms and validations
• Django ORM for database operations
• User authentication and authorization
• Integrating APIs and third-party packages
• Deployment of Django applications
Database & Tools:
• SQL fundamentals and queries
• SQLite, PostgreSQL integration with Django
• Git & GitHub for version control
• Environment setup, debugging, and best practices
Data Science
What you'll learn
By the end of this course, you will be able to:
Understand the fundamentals of Data Science, statistics, and data analytics.
Work with Python, SQL, and essential data manipulation libraries (NumPy, Pandas).
Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
Build data visualizations using Matplotlib, Seaborn, and Power BI/Tableau.
Apply machine learning algorithms for classification, regression, and clustering.
Understand supervised, unsupervised, and deep learning basics.
Work on end-to-end real-time projects and case studies.
Interpret data insights to support business decisions.
-14%
Internet of Things (IoT) – Connect, Control & Innovate
What you'll learn
• IoT fundamentals & architecture
• Working with sensors, actuators, and microcontrollers (Arduino, Raspberry Pi)
• IoT communication protocols (MQTT, HTTP, CoAP)
• Cloud platforms for IoT (AWS IoT, Azure IoT Hub)
• Data collection, processing, and visualization
• IoT security best practices
• Building and deploying real-world IoT projects
-32%
MERN Full Stack Development
What you'll learn
• MongoDB: NoSQL database design, CRUD operations, and aggregation
• Express.js: RESTful API development & middleware
• React: Building responsive, interactive user interfaces
• Node.js: Server-side programming & asynchronous handling
• State management (Redux or Context API)
• Authentication & authorization (JWT, OAuth)
• API integration and data fetching
• Deployment on cloud platforms (Heroku, AWS, Vercel)
• Git & GitHub for version control
-18%
AWS DevOps
What you'll learn
• AWS core services (EC2, S3, RDS, Lambda, etc.)
• DevOps principles & CI/CD pipelines
• Infrastructure as Code with AWS CloudFormation & Terraform
• Automation using AWS CLI & SDKs
• Monitoring & logging with CloudWatch
• Deployment strategies & containerization with Docker & EKS
• Security & compliance in AWS DevOps workflows
Trending
Featured
Free
Mastering Data Modeling Fundamentals
What you'll learn
Ready to begin working on real-world data modeling projects,
Expanded responsibilities as part of an existing role
Find a new position involving data modeling.
-17%
Core Java Programming
What you'll learn
Understand Java basics: syntax, data types, variables, operators, and control statements.
Work with object-oriented concepts: classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Use exception handling and debugging techniques.
Work with Java collections, generics, and multithreading.
Perform file handling and I/O operations.
Understand JDBC (Java Database Connectivity) for database interactions.
Write reusable and modular Java code.
Build small applications and prepare for advanced frameworks (Spring, Hibernate).
-17%
Python Programming (Core + Advanced)
What you'll learn
Core Python:
• Introduction to Python and environment setup
• Variables, data types, and type casting
• Operators and expressions
• Conditional statements and loops
• Functions, parameters, and return values
• Python data structures: lists, tuples, dictionaries, sets
• String handling and formatting
• Modules and packages
• File handling (read/write operations)
• Exception handling
Advanced Python:
• Object-Oriented Programming (OOP) in Python: classes, objects, inheritance, polymorphism
• Iterators and generators
• Decorators and closures
• Regular expressions
• Working with JSON and CSV data
• Lambda functions and list comprehensions
• Python libraries for various domains (NumPy, Pandas, Matplotlib basics)
• Multithreading and multiprocessing
• Database connectivity (MySQL/PostgreSQL)
• Best practices and coding standards
Featured
-20%
Web Development (HTML, CSS, JavaScript & Bootstrap)
What you'll learn
• HTML : HTML basics, tags, attributes, and document structure
Forms, tables, multimedia integration, Semantic HTML for accessibility and SEO.
• CSS : Inline, internal, and external CSS,CSS selectors, properties, and values, Colors, backgrounds, borders, and gradients, Box model, positioning, and layout techniques (Flexbox & Grid), CSS animations and transitions
•JavaScript: JavaScript syntax, variables, and data types, Functions, events, and DOM manipulation, Conditional statements and loops, Arrays, objects, and JSON handling, Form validation and interactive features
• Bootstrap: Introduction to Bootstrap framework, Responsive design with grid system, Navigation bars, buttons, cards, and modals
Using Bootstrap utilities and components, Customizing Bootstrap themes
Free
Natural Language Processing (NLP)
What you'll learn
• Named Entity Recognition (NER)
• Working with popular NLP libraries (NLTK, spaCy, Transformers)
• Building chatbots and text-based AI applications
• Real-world NLP project implementation
-17%
Data Science & Data Analysis
What you'll learn
• Introduction to data science, data analytics, and their applications
• Data collection, cleaning, and preprocessing
• Exploratory Data Analysis (EDA) with Python (Pandas, NumPy)
• Data visualization using Matplotlib, Seaborn, and Power BI/Tableau
• SQL for querying and managing databases
• Statistical concepts: probability, hypothesis testing, correlation, regression
• Basics of machine learning models (classification, regression, clustering)
• Working with real-world datasets and case studies
• Building dashboards and data reports
• Best practices for data storytelling and presentation
Free
Data Engineering
What you'll learn
• Fundamentals of data engineering and ETL processes
• Data modeling and schema design
• SQL for querying and managing data
• Big Data frameworks (Hadoop, Spark)
• Cloud platforms (AWS, Azure, Google Cloud) for data engineering
• Data pipeline orchestration (Airflow, Azure Data Factory)
• Working with APIs and streaming data
• Data quality, governance, and security
• Integration with BI and analytics tools
• Performance optimization and scalability techniques
Free
Computer Vision & Image Processing
What you'll learn
• Fundamentals of image processing and computer vision
• Image filtering, enhancement, and transformations
• Object detection, tracking, and recognition
• Face detection and recognition techniques
• Working with OpenCV, TensorFlow, and PyTorch
• Real-time video analysis and AI-powered vision systems
• Hands-on projects in image-based AI applications
-12%
Data Structures
What you'll learn
• Introduction to data structures and algorithms
• Arrays, strings, and their operations
• Linked lists (singly, doubly, and circular)
• Stacks and queues (including priority queues and deque)
• Trees (binary trees, binary search trees, AVL trees, heaps)
• Graphs (representation, traversal, shortest path algorithms)
• Hashing and hash tables
• Recursion and its role in data structures
• Searching algorithms (linear, binary search)
• Sorting algorithms (bubble, selection, insertion, merge, quick, heap sort)
• Time and space complexity analysis (Big-O notation)
• Problem-solving with coding exercises in C, Java, or Python
-81%
Full Stack Development with Python & Django
What you'll learn
Front-End Development:
• HTML5: Structure and semantic markup
• CSS3: Styling, layouts (Flexbox & Grid), animations
• JavaScript: DOM manipulation, events, ES6 features
• Bootstrap: Responsive design, UI components
Back-End Development with Python/Django:
• Python fundamentals & advanced concepts
• Django framework architecture and MVC pattern
• Creating Django models, views, templates
• Working with Django forms and validations
• Django ORM for database operations
• User authentication and authorization
• Integrating APIs and third-party packages
• Deployment of Django applications
Database & Tools:
• SQL fundamentals and queries
• SQLite, PostgreSQL integration with Django
• Git & GitHub for version control
• Environment setup, debugging, and best practices
Featured Courses
Featured
-20%
Web Development (HTML, CSS, JavaScript & Bootstrap)
This hands-on training program covers the essential technologies used to …
Web Development (HTML, CSS, JavaScript & Bootstrap)
What you'll learn
• HTML : HTML basics, tags, attributes, and document structure
Forms, tables, multimedia integration, Semantic HTML for accessibility and SEO.
• CSS : Inline, internal, and external CSS,CSS selectors, properties, and values, Colors, backgrounds, borders, and gradients, Box model, positioning, and layout techniques (Flexbox & Grid), CSS animations and transitions
•JavaScript: JavaScript syntax, variables, and data types, Functions, events, and DOM manipulation, Conditional statements and loops, Arrays, objects, and JSON handling, Form validation and interactive features
• Bootstrap: Introduction to Bootstrap framework, Responsive design with grid system, Navigation bars, buttons, cards, and modals
Using Bootstrap utilities and components, Customizing Bootstrap themes
Featured
Free
Mastering Data Modeling Fundamentals
In this course, I take you from the fundamentals and …
Mastering Data Modeling Fundamentals
What you'll learn
Ready to begin working on real-world data modeling projects,
Expanded responsibilities as part of an existing role
Find a new position involving data modeling.
Popular Topics
Popular Instructors
All Information Technology (IT) & Software Courses
-17%
Core Java Programming
This course provides a strong foundation in Java programming, one …
What you'll learn
Understand Java basics: syntax, data types, variables, operators, and control statements.
Work with object-oriented concepts: classes, objects, inheritance, polymorphism, encapsulation, and abstraction.
Use exception handling and debugging techniques.
Work with Java collections, generics, and multithreading.
Perform file handling and I/O operations.
Understand JDBC (Java Database Connectivity) for database interactions.
Write reusable and modular Java code.
Build small applications and prepare for advanced frameworks (Spring, Hibernate).
-81%
Full Stack Development with Python & Django
This intensive training program takes you from the fundamentals of …
What you'll learn
Front-End Development:
• HTML5: Structure and semantic markup
• CSS3: Styling, layouts (Flexbox & Grid), animations
• JavaScript: DOM manipulation, events, ES6 features
• Bootstrap: Responsive design, UI components
Back-End Development with Python/Django:
• Python fundamentals & advanced concepts
• Django framework architecture and MVC pattern
• Creating Django models, views, templates
• Working with Django forms and validations
• Django ORM for database operations
• User authentication and authorization
• Integrating APIs and third-party packages
• Deployment of Django applications
Database & Tools:
• SQL fundamentals and queries
• SQLite, PostgreSQL integration with Django
• Git & GitHub for version control
• Environment setup, debugging, and best practices
Data Science
This course provides a comprehensive introduction to Data Science, covering …
What you'll learn
By the end of this course, you will be able to:
Understand the fundamentals of Data Science, statistics, and data analytics.
Work with Python, SQL, and essential data manipulation libraries (NumPy, Pandas).
Perform data cleaning, preprocessing, and exploratory data analysis (EDA).
Build data visualizations using Matplotlib, Seaborn, and Power BI/Tableau.
Apply machine learning algorithms for classification, regression, and clustering.
Understand supervised, unsupervised, and deep learning basics.
Work on end-to-end real-time projects and case studies.
Interpret data insights to support business decisions.
Free
What you'll learn
• Fundamentals of data engineering and ETL processes
• Data modeling and schema design
• SQL for querying and managing data
• Big Data frameworks (Hadoop, Spark)
• Cloud platforms (AWS, Azure, Google Cloud) for data engineering
• Data pipeline orchestration (Airflow, Azure Data Factory)
• Working with APIs and streaming data
• Data quality, governance, and security
• Integration with BI and analytics tools
• Performance optimization and scalability techniques
-50%
Azure Administration
Master the skills to deploy, configure, secure, and manage Azure …
What you'll learn
• Azure fundamentals & architecture
• Managing Azure Virtual Machines, Storage, and Networking
• Azure Active Directory & role-based access control (RBAC)
• Resource groups, subscriptions, and policy management
• Monitoring & logging with Azure Monitor
• Backup, recovery, and disaster recovery planning
• Cost management & optimization strategies
-42%
AWS Administration
Gain the skills to configure, manage, and monitor AWS cloud …
What you'll learn
• AWS fundamentals & architecture
• Managing EC2, S3, RDS, IAM, and VPCs
• AWS networking, security groups & access control
• Monitoring & logging with CloudWatch & CloudTrail
• Backup, recovery, and disaster recovery strategies
• Cost optimization & billing management
• Best practices for AWS administration
-95%
Azure DevOps
Learn to plan, build, test, and deploy applications efficiently using …
What you'll learn
• Azure DevOps fundamentals & architecture
• Creating and managing CI/CD pipelines
• Version control with Git & Azure Repos
• Work item tracking & project management in Azure Boards
• Automated builds & testing with Azure Pipelines
• Deployment to Azure services & Kubernetes
• Integration with third-party tools & monitoring solutions
-18%
AWS DevOps
Master the art of combining AWS cloud services with DevOps …
What you'll learn
• AWS core services (EC2, S3, RDS, Lambda, etc.)
• DevOps principles & CI/CD pipelines
• Infrastructure as Code with AWS CloudFormation & Terraform
• Automation using AWS CLI & SDKs
• Monitoring & logging with CloudWatch
• Deployment strategies & containerization with Docker & EKS
• Security & compliance in AWS DevOps workflows
