Full Stack Course in Hyderabad
UI/UX design combines user psychology, visual design, and interaction design to create seamless digital experiences. It involves research, wireframing, and prototyping to build user-friendly websites and apps using tools like Figma and Adobe XD, enhancing usability and user satisfaction.
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9000144281
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New Sessions Begin Soon
9000144281
Join Now
New Sessions Begin Soon
9000144281
Join Now
New Sessions Begin Soon
9000144281
Join Now
Course Overview
Full Stack Development offers a wide range of capabilities, including front-end design, back-end logic, API development, and database integration. It enables the creation of responsive, scalable web applications, significantly improving user experience. Combining the MERN Stack—MongoDB, Express.js, React, and Node.js—empowers developers to build complete, efficient applications with dynamic user interfaces and robust server-side functionality.
Why Learn Full Stack Development?
Widely Used
Frameworks and libraries like React, Node.js, and Express.js are widely adopted for building responsive web interfaces and scalable server-side services. MongoDB offers flexibility in handling data, making the stack highly effective across industries.
Lucrative Salary
The average salary for a Full Stack Developer in India is over 6 LPA, according to job market data.
Create with Ease
Developers can build full-featured, modular applications using React for the front end and Node.js for the back end—resulting in flexible, maintainable, and production-ready web solutions.
Course Curriculum
- Data MAnipulations
- conditional statements
- Aggrigate functions
- charts and Plots.
- Fabrication of Dashboard
- Working with Lookups
- Macro's
- Goal Seek Analysis.
- Joins of tables
- Program Introductio
- Operator
- Data Types
- List Creation & Operations
- List Comprehensions, Slicing & Indexing
- Tuple Creations, Operations & Slicing & Indexing
- Practical Exercise: Implement List & Tuple to solve concise real-life problems.
- Dictionary creation, basic operations, manipulation & comprehensions
- Set Creation and Manipulations • Common Operations on Dictionary Sets and Z
- Practical Exercise: Work with dictionaries and sets to solve real- life problems.
- Work with NumPy Array
- Effecient Indexing and Slicin
- Filtering and Boolean Indexin
- Practical Exercise: Work with NumPy arrays to perform basic array operations, indexing, and Itering.
- Classication with SVM
- K-Nearest Neighbors for Predictions
- Choose K and Distances
- Understand Decision Trees
- Prevent Overfitting and Tree Pruning
- Explore Random Forest and Gradient Boosting
- Practical Exercise: Create decision tree models and explore the power of ensemble methods
- K-Fold Cross-Validation
- Hyperparameter Tuning
- In-Depth Classication Metrics
- Practical Exercise: Apply K-fold cross-validation and hyperparameter tuning to improve model performance.
- Building L arge-scale , data-driven applications
- Develop Enterprise-level web applications
- Create Pro j ects with a built-in admin interface and form handling
- Provides Rapid prototyping with built-in tools and a well-defined structure
- Understand the core principles and algorithms behind recommendation systems.
- Build and implement content-based recommendation systems using Python.
- Design and deploy hybrid systems that combine multiple recommendation techniques for enhanced performance
- Evaluate recommendation models using industry-standard metrics and optimization Techniques.
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