Data Science Course in Jaipur
Learn Python, SQL, statistics, visualization, machine learning and portfolio-ready capstone projects.
Explore six practical learning milestones, a portfolio project and interview preparation for Data Science, Analytics, AI, programming and other courses.
Explore All 2027 Roadmaps48 courses available
Need help choosing? Talk to a counsellor →Learn Python, SQL, statistics, visualization, machine learning and portfolio-ready capstone projects.
Build job-oriented analytics skills with Excel, SQL, Power BI, Python and practical business dashboards.
Learn Python fundamentals, problem solving, OOP, files, libraries and practical mini projects.
Learn supervised and unsupervised learning, feature engineering, evaluation and real model-building workflows.
Understand AI foundations, machine learning, neural-network concepts and applied AI workflows.
Learn prompt engineering, LLM workflows, RAG concepts, AI automation and practical GenAI use cases.
Build dashboards with Power Query, data modelling, DAX and business reporting projects.
Master SQL querying, joins, subqueries, grouping, reporting and database problem solving.
Learn advanced formulas, lookup functions, pivots, charts, dashboards and Power Query basics.
Learn frontend, backend, databases, APIs, deployment and end-to-end project development.
Learn responsive website development with HTML, CSS, JavaScript and practical projects.
Build a strong Core Java foundation with OOP, collections, exceptions, files and mini projects.
Learn C fundamentals, control flow, arrays, functions, pointers, structures and files.
Learn C++, object-oriented programming, STL, files and coding practice.
Learn SEO, paid ads, social media, content, analytics and campaign execution.
Learn modern JavaScript, DOM, ES6+, async programming, APIs and browser-based projects.
Learn PHP fundamentals, OOP, forms, sessions, MySQL integration, APIs and practical web projects.
Build a strong C# foundation with OOP, collections, LINQ, .NET basics, database work and projects.
Strengthen coding interview skills with arrays, linked lists, stacks, queues, trees, graphs and dynamic programming.
Build a strong coding foundation with logic, variables, conditions, loops, functions, debugging and structured problem solving.
Build end-to-end web applications with MongoDB, Express.js, React.js, Node.js, APIs and deployment workflows.
Learn full stack development with MongoDB, Express.js, Angular, Node.js and production-style projects.
Learn Java, Spring Boot, databases, REST APIs and modern frontend development through complete applications.
Build full stack applications with Python, Django/Flask concepts, databases, APIs and modern frontend tools.
Learn C#, ASP.NET Core, APIs, SQL and frontend development for practical full stack application projects.
Learn React components, hooks, routing, forms, API integration, state management and frontend projects.
Build modern frontend applications with React, Next.js, routing, API integration, rendering concepts and deployment.
Learn backend development with Node.js, Express, APIs, authentication, databases and production-oriented projects.
Build cross-platform mobile apps with Dart, Flutter widgets, navigation, APIs, state management and Firebase concepts.
Learn business problem solving with Excel, SQL, statistics, dashboards, KPIs and decision-focused case studies.
Combine business analysis, data interpretation and practical AI tools for requirements, insights, reporting and workflow improvement.
Build tool-using AI agents, multi-step workflows and practical automations with LLM APIs, retrieval and evaluation concepts.
Study neural networks, CNNs, sequence models, transfer learning and practical deep learning workflows.
Learn text preprocessing, vectorization, language-model concepts, classification and practical NLP project workflows.
Learn image processing, convolutional networks, transfer learning and practical computer vision workflows.
Understand LLM fundamentals, prompting, embeddings, context management, APIs and grounded application development.
Build retrieval-augmented generation workflows using embeddings, chunking, vector search, grounding and evaluation.
Learn reproducible machine learning workflows, model packaging, deployment, monitoring and lifecycle management concepts.
Understand cloud architecture, service models, virtualization, security basics and practical cloud workflows.
Learn core AWS services, IAM, compute, storage, networking, databases, monitoring and deployment concepts.
Learn Microsoft Azure fundamentals, compute, storage, networking, identity, monitoring and cloud deployment concepts.
Learn Git, Linux, CI/CD, Docker, Kubernetes concepts, cloud deployment and DevOps automation workflows.
Learn containerization, Docker images, registries, Kubernetes workloads, services and deployment fundamentals.
Learn practical version control with Git, GitHub collaboration, branches, pull requests and team workflows.
Build cyber security fundamentals covering networks, systems, web security, defensive practices and lab-based learning.
Learn user research, wireframing, interface design, prototyping and usability-focused product design workflows.
Learn Tally Prime, accounting workflows, GST basics, invoicing, inventory and practical business entries.
Learn manual testing, test cases, defect reporting, QA workflows, API testing basics and automation foundations.
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