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PG-DIPLOMA in Data Analytics And Cloud Computing at Indian Institute of Technology Jodhpur
Jodhpur, Rajasthan
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About the Specialization
What is Data Analytics and Cloud Computing at Indian Institute of Technology Jodhpur Jodhpur?
This PG Diploma program, conceptualized as ''''Data Analytics and Cloud Computing,'''' combines two crucial technological domains. While the Indian Institute of Technology Jodhpur offers distinct PG Diploma programs in Data Analytics and Cloud Computing separately, this conceptual specialization aims to equip professionals with skills to process, analyze, and interpret large datasets using scalable cloud infrastructure. It addresses the growing demand in the Indian market for hybrid professionals who can bridge the gap between data science and robust cloud deployment.
Who Should Apply?
This program is ideal for engineering graduates, science graduates, or working professionals with a background in IT, computer science, or related quantitative fields, seeking entry into high-growth tech roles. It caters to those looking to upskill in areas critical for digital transformation in India, including data scientists, software developers, and system architects aiming to leverage cloud platforms for data-driven insights.
Why Choose This Course?
Graduates of a combined ''''Data Analytics and Cloud Computing'''' program can expect to pursue India-specific career paths such as Cloud Data Engineer, Data Analyst, Machine Learning Engineer (Cloud), or Cloud Solutions Architect. Entry-level salaries in India could range from INR 6-12 LPA, with experienced professionals potentially earning INR 15-30+ LPA, reflecting the high demand for these dual skills in companies like TCS, Infosys, Wipro, and various startups.
Student Success Practices
Foundation Stage
Master Core Data & Cloud Concepts- (Semester 1-2)
Focus intensely on understanding statistical foundations, programming languages (Python/R), database management (SQL/NoSQL), and foundational cloud services (compute, storage, networking). Utilize online courses (Coursera, edX for statistics and Python), interactive platforms (HackerRank, LeetCode for coding), and official cloud provider documentation (AWS/Azure/GCP free tier labs). This builds a robust base essential for any advanced analytics or cloud deployment role in India''''s tech landscape.
Tools & Resources
Python, R, SQL, NoSQL, AWS Free Tier, Azure Free Tier, GCP Free Tier, Coursera, edX, HackerRank, LeetCode
Career Connection
Establishes a strong technical foundation crucial for securing entry-level roles in data analytics and cloud engineering.
Hands-on Mini-Projects- (Semester 1-2)
Apply theoretical knowledge by building small data analysis pipelines or deploying simple applications on cloud platforms. Start with publicly available datasets (Kaggle) or simple business scenarios. This practical application solidifies understanding and creates an early portfolio for future internships, showcasing problem-solving abilities.
Tools & Resources
Jupyter Notebooks, Kaggle, AWS, Azure, GCP, Python Libraries (Pandas, NumPy, Scikit-learn)
Career Connection
Develops a practical portfolio of projects that are highly valued by recruiters for internships and full-time positions.
Peer Learning & Study Groups- (Semester 1-2)
Form study groups to discuss complex topics, solve problems collaboratively, and prepare for internal assessments. Engage with senior students or alumni in related fields through platforms like LinkedIn or university networking events. This fosters a supportive learning environment, clarifies doubts, and builds a professional network crucial for job referrals and industry insights.
Tools & Resources
LinkedIn, University Alumni Network, Collaborative online tools
Career Connection
Enhances problem-solving skills, strengthens conceptual understanding, and builds valuable professional connections for future career opportunities.
Intermediate Stage
Develop Cloud-Native Data Solutions- (Later Semesters)
Gain expertise in designing and implementing data pipelines directly on cloud platforms, utilizing services like serverless functions (AWS Lambda, Azure Functions), managed databases (RDS, Cosmos DB), and containerization (Docker, Kubernetes). Practice building end-to-end solutions for specific data challenges. This ensures graduates can architect and deploy scalable, cost-effective data solutions.
Tools & Resources
AWS Lambda, Azure Functions, AWS RDS, Azure Cosmos DB, Docker, Kubernetes, Git
Career Connection
Prepares individuals for roles like Cloud Data Engineer or Cloud Solutions Architect by developing practical deployment and architectural skills.
Big Data Technologies & Ecosystems- (Later Semesters)
Acquire hands-on experience with big data processing frameworks (Apache Spark, Hadoop) and their cloud-managed versions. Understand data warehousing concepts (Snowflake, Google BigQuery) and data lake strategies. Engage in projects involving real-time data streaming and processing. This prepares them for roles handling massive datasets prevalent in Indian e-commerce, telecommunications, and finance sectors.
Tools & Resources
Apache Spark, Hadoop, AWS EMR, Azure Databricks, Google BigQuery, Snowflake, Kafka
Career Connection
Equips students with the ability to manage and process large-scale data, opening doors to Big Data Engineer and Data Architect roles.
Focus on Data Governance & Security in Cloud- (Later Semesters)
Learn about data privacy regulations (e.g., GDPR, India''''s upcoming data protection law), compliance frameworks, and best practices for securing data and cloud infrastructure. Understand identity and access management (IAM), encryption, and network security in cloud environments. This critical knowledge is essential for responsible data handling and ensuring business continuity.
Tools & Resources
Official Cloud Security Documentation, IAM tools (AWS IAM, Azure AD), Encryption tools, Compliance frameworks
Career Connection
Develops expertise in critical areas of data governance and security, making graduates valuable assets in roles requiring compliance and secure data management.
Advanced Stage
Capstone Project & Portfolio Building- (Program Completion Phase)
Undertake a comprehensive capstone project that integrates data analytics and cloud computing principles, solving a significant real-world problem. Document the project thoroughly, showcasing technical skills, problem-solving abilities, and business impact. This serves as a cornerstone for their professional portfolio, demonstrating readiness for complex industry challenges.
Tools & Resources
Integrated development environments, Version control (Git), Cloud platforms, Various data and analytics libraries
Career Connection
Provides a strong, tangible project for interviews, showcasing end-to-end capabilities and increasing placement success.
Placement Preparation & Interview Skills- (Program Completion Phase)
Actively participate in mock interviews, resume-building workshops, and group discussions organized by the career services cell. Tailor resumes and cover letters to highlight data analytics and cloud computing skills, certifications, and project experience. Practice technical interviews focusing on algorithms, data structures, SQL, Python, and cloud architecture.
Tools & Resources
Career Services, Mock Interview Platforms, LinkedIn, LeetCode, HackerRank
Career Connection
Optimizes job search and interview performance, leading to successful placements in desired roles within leading companies.
Continuous Learning & Emerging Technologies- (Program Completion Phase)
Identify and explore emerging trends in data analytics (e.g., MLOps, Responsible AI, Data Mesh) and cloud computing (e.g., Edge Computing, Serverless adoption, FinOps). Engage with industry publications, attend expert talks, and contribute to open-source projects. This commitment to lifelong learning ensures graduates remain relevant and adaptable in a rapidly evolving technological landscape.
Tools & Resources
Online Courses (Coursera, Udacity), Industry Blogs, Tech Conferences, Open Source Communities
Career Connection
Ensures long-term career growth and adaptability, allowing graduates to stay ahead in a fast-evolving tech industry.
Program Structure and Curriculum
Eligibility:
- No eligibility criteria specified
Duration: Not specified
Credits: Credits not specified
Assessment: Assessment pattern not specified
