Description
Certification Name: Certificate in Business Intelligence (BI) Developer
Course Id: CBID/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Business Intelligence (BI) Developer course is designed to equip professionals with the skills to design, develop, and implement BI solutions that transform raw data into actionable insights. The course covers data modeling, ETL processes, data warehousing, dashboard development, and reporting using BI tools such as Power BI, Tableau, or QlikView. Participants learn to analyze business data, create interactive visualizations, and provide decision-makers with accurate, timely, and meaningful information.
Duration: Three Month.
How to Enroll and Get Certified in Your Chosen Course:
Step 1: Choose the course you wish to get certified in.
Step 2: Click on the “Enroll Now” button.
Step 3: Proceed with the enrollment process.
Step 4: Enter your billing details and continue to course fee payment.
Step 5: You will be redirected to the payment gateway. Pay the course and exam fee using one of the following methods:
Debit/Credit Card, Wallet, Paytm, Net Banking, UPI, or Google Pay.
Step 6: After successful payment, you will receive your study material login ID and password via email within 48 hours of fee payment.
Step 7: Once you complete the course, take the online examination.
Step 8: Upon passing the examination, you will receive:
• A soft copy (scanned) of your certificate via email within 7 days of examination.
• A hard copy (original with official seal and signature) sent to your address within 45 day of declaration of result.
Step 9: After certification, you will be offered job opportunities aligned with your area of interest.
Online Examination Detail:
Duration- 60 minutes.
No. of Questions- 30. (Multiple Choice Questions).
Maximum Marks- 100, Passing Marks- 40%.
There is no negative marking in this module.
| Marking System: | ||||||
| S.No. | No. of Questions | Marks Each Question | Total Marks | |||
| 1 | 10 | 5 | 50 | |||
| 2 | 5 | 4 | 20 | |||
| 3 | 5 | 3 | 15 | |||
| 4 | 5 | 2 | 10 | |||
| 5 | 5 | 1 | 5 | |||
| 30 | 100 | |||||
| How Students will be Graded: | ||||||
| S.No. | Marks | Grade | ||||
| 1 | 91-100 | O (Outstanding) | ||||
| 2 | 81-90 | A+ (Excellent) | ||||
| 3 | 71-80 | A (Very Good) | ||||
| 4 | 61-70 | B (Good) | ||||
| 5 | 51-60 | C (Average) | ||||
| 6 | 40-50 | P (Pass) | ||||
| 7 | 0-40 | F (Fail) | ||||
Key Benefits of Certification- Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Practical, Job-Ready Skills – Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands — helping you become employment-ready from day one.
Lifetime Validity – Your certification is valid for a lifetime — no renewals or expirations. It serves as a permanent proof of your skills and training.
Lifetime Certificate Verification – Employers and institutions can verify your certification anytime through a secure and reliable verification system — adding credibility to your qualifications.
Industry-Aligned Certification –All certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Preferred by Employers – Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Free Job Assistance Based on Your Career Interests – Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Module 1 – BI Fundamentals & Data Acquisition: Introduction to business intelligence concepts and ecosystem, Data sources and systems (OLTP, OLAP, operational vs analytical), Data extraction fundamentals (connectors, APIs, flat files, databases), Understanding data quality, cleansing and profiling, Introduction to ETL/ELT processes and tools, Overview of BI architecture and platforms
Module 2 – Data Warehousing & Modelling: Data warehouse concepts: star/snowflake schema, fact & dimension tables, Data warehouse architecture (staging, integration, access layers), Dimensional modelling and data mart design, Data integration and transformation (ETL/ELT) best practices, Performance considerations: indexing, partitioning, scalability
Module 3 – BI Tools, Reporting & Dashboards: Overview of BI/reporting tools (Power BI, Tableau, Qlik, etc.), Designing and developing interactive dashboards and reports, Data modelling within BI tools (measures, calculated fields, hierarchies), Self‑service BI vs enterprise BI considerations, Visualization best practices, Story‑telling with data and user‑centric report design
Module 4 – Advanced Analytics & Data Visualisation: Exploratory data analysis for BI, Advanced visualisation techniques (heat maps, scatter plots, time‑series, geo‑visualisations), Introduction to predictive analytics and what it means for BI, Integrating analytics into dashboards (trend‑analysis, forecasting, KPI alerting), Handling large datasets and performance optimisation in visualisation, Mobile BI and real‑time/streaming dashboards
Module 5 – BI Governance, Security & Deployment: Data governance frameworks: metadata, lineage, cataloguing, master data, Role‑based access control, authentication/authorization in BI systems, Data security, privacy and compliance (GDPR, HIPAA, etc.), Deployment and change‑management of BI solutions, Monitoring, logging and usage analytics of BI applications, Collaboration and sharing in BI: portals, self‑service, embedding
Module 6 – Modern BI Architecture, Big Data & Emerging Trends: Cloud‑based BI and analytics platforms, Integrating big data sources (Hadoop, data lakes) with BI systems, Real‑time BI/streaming analytics and architectures, Data mesh, lakehouse and modern data‑platform concepts, AI/ML augmentation in BI and augmented analytics, Future trends in BI: embedded analytics, augmented reality, conversational BI
Job Opportunities in Business Intelligence (BI)
Professionals design, develop, and maintain BI solutions, dashboards, and reports to support data-driven decision-making across IT services, BFSI, retail, healthcare, manufacturing, and government sectors.
Top Roles: BI Developer, BI Analyst, Data Visualization Specialist, BI Engineer, Reporting & MIS Executive, Analytics Consultant (BI Focus), BI Solutions Architect, Data Analyst (BI Tools), BI Product Specialist, Freelance BI Developer/Consultant
Key Skills: BI tools (Power BI, Tableau, Qlik), SQL, data modeling, dashboards & visualization, reporting automation, analytics, performance optimization, data integration, governance, stakeholder communication
Salary Range (India):
- Entry Level: ₹4–6 LPA
- Mid Level: ₹6–16 LPA
- Senior Level: ₹18–25+ LPA
- Freelance/Project-based: ₹8–30+ LPA
Industries: IT services & consulting, BFSI, retail & e-commerce, healthcare & pharmaceuticals, manufacturing & supply chain, government & public sector
Scope: Career growth includes BI solution architecture, analytics leadership, data strategy roles, consulting, freelancing, and cross-industry opportunities with high long-term demand and salary potential.
