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At The TutorX, we believe learning should be clear, focused, and at your fingertips. That’s why we’ve built a smart and user-friendly dashboard to empower every student on their academic journey. From live sessions and homework to performance tracking and resources—everything is seamlessly integrated to help you stay ahead with confidence.
- View upcoming sessions and join with a single click.
- Track your progress through weekly reports.
- Access study materials tailored to your goals.
- Get reminders so you never miss a session.
- Connect with tutors and ask questions anytime.
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Frontend Development
Frontend development is the practice of building the parts of a website or web app that users see and interact with. It combines HTML, CSS, and JavaScript (and frameworks like React) to create beautiful, responsive, and user-friendly interfaces.
Frameworks for the frontend:-
- User Interfaces & Website Layouts
- Responsive Web Design
- Web Applications & Dashboards
- Interactive Forms & Animations
- Cross-Browser Compatibility
- Mobile-Friendly Design
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Backend Development
Backend development is the process of building and maintaining the server-side of websites and applications. It handles databases, APIs, authentication, and all the logic that powers what users see on the frontend. Popular backend tools include Node.js, Python, PHP, and SQL.
Frameworks For Backend
- Server-Side Logic & APIs
- Database Management
- User Authentication & Security
- Data Processing & Storage
- Integrations with External Services
- Handling Payments & Transactions
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Cyber Security
Cybersecurity is the practice of protecting networks, systems, and data from digital threats, ensuring confidentiality, integrity, and availability of information.
Where Cyber Security Used:
- Network & Infrastructure Protection
- Application & Software Security
- Identity & Access Management
- Incident Detection & Response
- Data Encryption & Privacy
- Risk Assessment & Compliance
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Data Analytics
Data analytics involves examining raw data to uncover patterns, draw conclusions, and support decision‑making. It uses statistical methods, tools like Python and SQL, and visualization to turn data into actionable insights.
Where data analytics Used:
- Data Collection & Cleaning
- Statistical Analysis
- Data Visualization
- SQL & Databases
- Excel & Spreadsheets
- Python for Data Analysis
- Business Intelligence Tools
- ETL & Data Warehousing
- Machine Learning Basics
- Big Data Tools
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AIML
AI & Machine Learning focus on building smart systems that can learn from data, identify patterns, and make predictions or automate tasks without being explicitly programmed.
Learning AIML:
- Fundamentals of AI & ML
- Supervised & Unsupervised Learning
- Data Preprocessing & Feature Engineering
- Model Training & Evaluation
- Deep Learning Basics
- NLP (Natural Language Processing)
- AI Tools & Frameworks
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TUTORX ADMIN
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