Certified Business Intelligence (BI) Developer

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The course trains professionals to develop BI solutions that analyze data and deliver actionable insights for informed business decisions.

Description

Certification Name: Certified Business Intelligence (BI) Developer

Global Occupational Skill Standard – GOSS ID: GOSS/CIT/CBID/V1

Duration: One Month

Eligibility: Graduation or Equivalent is required.

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.

Certification: Within 5 days after Completion of Online Assessment.

Get ready to join the Journey to become a GSDCI Certified Professional  – International Certification and Assessment Body.

Steps to become a GSDCI Certified Professional:

Step 1: Select your certification you want to pursue.

Step 2: Click on get certified tab, new pop up window will open.

Step 3: Click on pay certification fee, you will be redirected to billing details page.

Step 4: Fill your details and click on pay certification fee, you will be redirected to payment gateway, pay fee by any available options like Card (Debit/Credit), Wallet, Paytm, Net banking, UPI and Google pay.

Step 5: You will get Login Credentials of Online E-Books and Online assessment link on your email id, within 48 hrs of payment.

Step 6: After completion of online assessment, you can download your Certificate Immediately.

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

GSDCI Online Assessment Detail:

  • Duration- 60 minutes.
  • Number of Questions- 30.
  • Number of Questions from each module: 5.
  • Language: English.
  • Exam Type: Multiple Choice Questions.
  • Maximum Marks- 100, Passing Marks- 50%.
  • There is no negative marking in any 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 50-60 P (Pass)
6  0-49 F (Fail)

 

Benefits of Certification:

🌍 1. Global Recognition & Credibility – Stand out worldwide with a certification that opens doors across borders. Trusted by employers, respected by institutions, and recognized in over 100 countries.

📜 2. Quality Assurance through ISO Certification – Certified to global ISO standards, our programs deliver excellence, consistency, and a benchmarked learning experience that speaks for itself.

💼 3. Career Advancement & Employability – Enhances your resume and increases chances of promotions or job offers.

🤝 4. Non-Profit Trust Factor – Certifications from non-profit organizations are mission-driven rather than profit-driven.

📚 5. Access to Verified Learning & Resources – Often includes e-books, mock tests, and online support without hidden costs.

🔍 6. Transparency & Online Verification – Certifications come with a unique Enrolment ID for easy online verification by employers and institutions.

⏳ 7. Lifetime or Long-Term Validity – Certifications usually have lifetime validity or long-term recognition, reducing the need for frequent renewals.

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