Description
Certification Name: Certificate in Business Intelligence Analyst
Course Id: CBIA/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Business Intelligence Analyst course is designed to equip professionals with the skills and knowledge to collect, analyze, and interpret business data to support informed decision-making. The course covers data warehousing, data mining, reporting, dashboard creation, data visualization, and the use of BI tools such as Power BI, Tableau, and SQL.
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: Introduction to Business Intelligence (BI): Overview of Business Intelligence and Its Importance, BI Components and Architecture, Data Warehousing Concepts, Role of a BI Analyst, Understanding BI Tools and Platforms, BI Trends and Industry Applications.
Module 2: Data Collection and Data Management: Types of Data Sources (Structured, Unstructured), Data Extraction and Integration Techniques, ETL Processes and Tools, Data Quality and Cleansing Methods, Metadata Management, Master Data Management (MDM).
Module 3: Data Modeling and Database Design: Introduction to Data Modeling, Conceptual, Logical, and Physical Models, Star Schema and Snowflake Schema, Normalization vs Denormalization, Designing Fact and Dimension Tables, Database Design Best Practices.
Module 4: Data Analysis and Visualization: Exploratory Data Analysis Techniques, Statistical Methods for BI, Introduction to Data Visualization Principles, Using BI Tools (Power BI, Tableau, QlikView), Creating Dashboards and Reports, Storytelling with Data.
Module 5: Advanced BI Techniques: Predictive Analytics and Data Mining, Using SQL for BI Queries, OLAP and Multidimensional Analysis, Introduction to Big Data Analytics, Incorporating Machine Learning in BI, Performance Tuning and Optimization.
Module 6: BI Strategy, Governance, and Implementation: Developing BI Strategy and Roadmap, BI Project Lifecycle and Methodologies, Data Governance and Compliance, Managing BI Stakeholders and Communication, Measuring BI Success and ROI, Case Studies and Capstone Project.
Job Opportunities After Certificate in Business Intelligence Analyst
This course develops skills in business intelligence, data analysis, SQL, dashboard development, data visualization, KPI reporting, and data-driven decision-making, preparing learners for analytics and BI roles.
Key Career Options: BI Analyst, Data Analyst, Reporting/MIS Analyst, Data-Driven Business Analyst, BI Developer, BI & Analytics Consultant, Freelance BI Analyst.
Salary Range (India):
Entry-level: ₹4–8 LPA
Mid-level: ₹7–16 LPA
Senior-level: ₹10–22+ LPA
Freelance / Consulting: ₹40,000–₹2 lakh+ per month, project-dependent
Industries Hiring Graduates: IT & ITES, BFSI, retail, e-commerce, FMCG, healthcare, manufacturing, supply chain, telecom, and consulting.
Skills Developed: Power BI, Tableau, Qlik, Looker, SQL, Excel, data modeling, data warehousing concepts, dashboard design, KPI development, data visualization, and business reporting.
Scope: Strong demand as organizations increasingly rely on data-driven decision-making. Career growth can progress from BI Analyst or Data Analyst to Senior BI Analyst, BI Developer, Analytics Manager, Head of Business Intelligence, Director of Analytics, or Chief Data Officer.
