Certificate in Data Analytics
This programme is designed to equip graduates and professionals with capabilities in data warehousing, data modelling, data engineering, and business intelligence. Through global project exposure and cutting-edge tools, learners are transformed into confident analytics professionals prepared for international roles in data-driven enterprises.
- Duration: 6 Months
- Eligibility: Any Graduate/Post Graduate
- Career path: Data Analytics and Data Science
- Mode: Offline + Online
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Programme Overview
The Certificate in Data Analytics is a comprehensive programme tailored for graduates and professionals who want to build careers in data warehousing, data modelling, data engineering, and business intelligence. The curriculum covers relational databases, data warehousing, ETL systems, and analytics—all necessary to thrive in data-driven roles. Through an immersive, case-based structure, you will build end-to-end data systems and leverage analytics to drive business decisions.
Programme Modules
Module 0 – Application of RDBMS Concepts
- Advanced Introduction to DBMS and EDBMS
- DBMS vs RDBMS vs NoSQL Databases
- 12 Codd's Rules for RDBMS
- Entity Relationships in RDBMS
- Keys in RDBMS
- Normalization (1NF to 4NF)
- Views and Materialized Views
- Cloud-Based RDBMS for Analytics
- Project: OLTP System Design
Module 1 – The Data Warehousing and BI Ecosystem
- Introduction to DWBI
- Basics of Statistics for Analytics
- Application of Business Intelligence
- Business Intelligence Solution Frameworks
- Project: BI and Analytics Solution Architecture
Module 2 – Aspects of Data Modelling
- Introduction to Data Modelling
- Logical Modelling for DW & BI
- Physical Modelling Techniques
- Star & Snowflake Schemas
- Domain Data Warehouse Schema for Advanced Analytics
- Project: Schema Design for Analytics using Star & Snowflake
Module 3 – Data Engineering Ecosystem
- Domain-specific Data Ecosystems
- ETL Concepts and Frameworks
- Introduction to Big Data and AI
- Data Engineering Essentials
- AWS & Azure Data Services
- Project: ETL Pipeline for Analytics
Module 4 – Advanced Data Analytics Landscape
- Capstone Project covering Modules 0–3
- BI Project Management Basics
Module 5 – Mining & Visualization Techniques
- Data Visualization Techniques and Tools
- Project: Stakeholder Reporting Dashboard
Module 6 – Boot Start Your Career
- Work on International Projects with Global Clients (Remote/Hybrid Model)
Key Takeaways
Your Path To Excellence & Success
We are passionate about education and dedicated to providing high-quality learning resources for learners of all backgrounds.
- Build reliable OLTP systems using RDBMS concepts
- Develop scalable star/snowflake schemas for analytics
- Construct ETL pipelines and deploy on cloud
- Apply statistical thinking in BI and AI environments
- Deliver business dashboards with powerful storytelling
- Access placement support through sister concern hiring network
Real Voices, Real Outcomes
Learner Testimonials
"I came in with zero technical background, but the way the course was structured made it very easy to grasp concepts. Within a few months, I was able to handle data cleaning, analysis, and visualizations confidently. I now work in the internal analytics division and contribute to client dashboards all thanks to iiSWEAR's in-house placement."
Kiran Deshpande, Data Analyst
Entry Level
"What impressed me the most was that we weren't just taught tools we were taught how to think like analysts. Every module had practical relevance. And unlike other programs, I didn't have to wait for a placement drive. I was directly absorbed into a analytics role within the same company."
Divya Patil, Junior Analyst
Data Insights
"I had 4 years of experience in a different domain and wanted to move into analytics. This course gave me everything like SQL, Excel, Python, Tableau and most importantly, job assurance within the organization. No third-party placements. No delays. Just direct, real work."
Rajeev Sen, Reporting Executive
Internal Team
"The curriculum covered everything from descriptive analytics to predictive models with strong focus on business context. Within weeks of completing the course, I started working on internal performance reports and automation tasks. This kind of opportunity is rare and reliable."
Sonal Menon, Associate
Analytics & Reporting
"After a gap of 5 years, I had lost touch with tools and confidence. iiSWEAR gave me both. The training was and the in-house job opportunity helped me restart my career without fear. I'm now contributing to internal data audits and MIS reporting."
Priyanka Rao
Data Operations Trainee