Description
Certification Name: Certificate in Big Data Business Analyst
Course Id: CBDBA/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Big Data Business Analyst (CBDBA) course is designed to equip professionals with the skills to analyze large and complex data sets to drive strategic business decisions. The course covers big data technologies, data mining, data visualization, statistical analysis, predictive modeling, and the interpretation of unstructured and structured data.
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 Big Data and Business Analysis: Overview of Big Data Concepts and Technologies, Role of a Big Data Business Analyst, Types of Big Data (Volume, Velocity, Variety), Business Intelligence vs. Big Data Analytics, Key Industry Use Cases, Ethical and Privacy Considerations in Big Data.
Module 2: Data Collection and Management in Big Data: Sources of Big Data (IoT, Social Media, Logs), Data Ingestion and Storage Technologies (HDFS, NoSQL), Data Quality and Cleaning Techniques, Metadata and Data Governance, Data Lakes vs. Data Warehouses, Compliance and Security in Big Data.
Module 3: Big Data Analytics Techniques: Descriptive, Predictive, and Prescriptive Analytics, Introduction to Machine Learning and AI, Text and Sentiment Analysis, Real-Time and Batch Processing, Data Mining Techniques, Visualization Tools for Big Data.
Module 4: Tools and Technologies for Big Data Analysis: Overview of Hadoop Ecosystem, Spark and Streaming Analytics, SQL on Big Data (Hive, Impala), Data Visualization Platforms (Tableau, Power BI), Cloud-Based Big Data Services, Workflow Automation and ETL Tools.
Module 5: Business Analysis and Requirements Gathering: Stakeholder Identification and Engagement, Defining Business Problems and Objectives, Translating Business Needs into Data Requirements, Creating User Stories and Use Cases, Prioritizing Analytics Projects, Change Management and Adoption.
Module 6: Communicating Insights and Driving Business Decisions: Data Storytelling and Visualization Best Practices, Reporting to Non-Technical Stakeholders, Measuring Business Impact of Big Data Projects, Building a Data-Driven Culture, Ethical Use of Data Insights, Case Studies and Industry Applications.
Career Options After Certificate in Big Data Business Analyst
(With Salary Range in India)
After successful completion of the Certificate in Big Data Business Analyst, learners gain specialized expertise in big data analytics, business intelligence, data visualization, predictive modeling, and data-driven decision-making. This certification prepares professionals for business analysis, data analytics, and strategic roles across industries including IT, finance, retail, e-commerce, manufacturing, consulting, and multinational corporations.
1. Big Data Business Analyst / Executive
Role & Responsibilities:
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Analyze large datasets to identify trends, patterns, and business insights
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Develop data-driven solutions to support decision-making and strategy
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Prepare dashboards and reports for management and stakeholders
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Collaborate with IT, operations, and business teams to optimize processes
Salary Range (India):
-
Entry Level: ₹5,50,000 – ₹9,50,000 per annum
-
Experienced: ₹9,50,000 – ₹18,00,000+ per annum
2. Data Analytics & Business Intelligence Analyst
Role & Responsibilities:
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Collect, process, and interpret big data for actionable insights
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Create visualization tools and dashboards to communicate findings
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Support strategic and operational decision-making across departments
Salary Range:
-
₹6,00,000 – ₹12,00,000 per annum
3. Predictive Analytics / Business Insights Analyst
Role & Responsibilities:
-
Build predictive models to forecast trends, sales, and performance metrics
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Identify opportunities to optimize business strategy and operations
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Collaborate with stakeholders to implement data-driven solutions
Salary Range:
-
₹6,00,000 – ₹12,50,000 per annum
4. Operations & Performance Analyst – Big Data
Role & Responsibilities:
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Analyze operational data to improve efficiency and productivity
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Monitor KPIs and performance metrics across business units
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Recommend process improvements based on data insights
Salary Range:
-
₹5,50,000 – ₹11,00,000 per annum
5. Senior Big Data Business Analyst (with experience)
Role & Responsibilities:
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Lead analytics teams and manage large-scale business data projects
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Develop enterprise-wide analytics and reporting frameworks
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Provide strategic recommendations to senior management
Salary Range:
-
₹10,00,000 – ₹22,00,000+ per annum
6. Head – Big Data Analytics / Business Insights Lead (with experience)
Role & Responsibilities:
-
Define enterprise-wide big data strategy and analytics initiatives
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Oversee business intelligence, predictive analytics, and data visualization teams
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Align analytics outcomes with organizational strategy and growth objectives
Salary Range:
-
₹15,00,000 – ₹35,00,000+ per annum
Long-Term Career Growth
With experience and expertise in big data analytics, professionals can progress to:
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Director – Business Analytics & Big Data
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Chief Data Officer (CDO)
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Senior Consultant – Data-Driven Business Strategy
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Analytics & Insights Advisor for Multinational Corporations
Senior-level Salary Range:
-
₹20,00,000 – ₹50,00,000+ per annum
Industries Hiring Big Data Business Analysts
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IT & Technology Services
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Banking, Financial Services & Investment Firms
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Retail, E-commerce & FMCG
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Manufacturing & Supply Chain Companies
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Consulting & Advisory Firms
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Multinational Corporations

