Description
Certification Name: Certificate in Data & Analytics Manager
Course Id: CDAM/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Data & Analytics Manager course is designed to equip professionals with the skills and knowledge needed to lead data-driven initiatives and manage analytics operations effectively. It focuses on data management, business intelligence, advanced analytics, data governance, and visualization techniques.
Duration: Three Month.
Β How to Enroll and Get Certified in Your Chosen Course:
Β Step 1:Β Choose the course you wish to get certified in.
Β Step 2:Β Click on theΒ βEnroll NowβΒ button.
Β Step 3:Β Proceed with the enrollment process.
Β Step 4:Β Enter your billing details and continue to course fee payment.
Β Step 5:Β 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.
Β Step 6:Β After successful payment, you will receive your study material login ID and password via email withinΒ 48 hoursΒ of fee payment.
Β Step 7:Β Once you complete the course, take theΒ online examination.
Β Step 8:Β Upon passing the examination, you will receive:
β’ AΒ soft copyΒ (scanned) of your certificate via email within 7 days of examination.
β’ AΒ hard copyΒ (original with official seal and signature) sent to your address within 45 day of declaration of result.
Β Step 9:Β After certification, you will be offeredΒ job opportunitiesΒ 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) | ||||
Β Key Benefits of Certification-Β Earning a professional certification not only validates your skills but also enhances your employability. Here are the major benefits you gain:
Β Practical, Job-Ready Skills βΒ Our certifications are designed to equip you with real-world, hands-on skills that match current industry demands β helping you become employment-ready from day one.
Β Lifetime Validity βΒ Your certification is valid for a lifetime β no renewals or expirations. It serves as a permanent proof of your skills and training.
Β Lifetime Certificate Verification βΒ Employers and institutions can verify your certification anytime through a secure and reliable verification system β adding credibility to your qualifications.
Β Industry-Aligned Certification βAll certifications are developed in consultation with industry experts to ensure that what you learn is current, relevant, and aligned with market needs.
Β Preferred by Employers βΒ Candidates from ISO-certified institutes are often prioritized by recruiters due to their exposure to standardized, high-quality training.
Β Free Job Assistance Based on Your Career Interests βΒ Receive personalized job assistance and career guidance in your preferred domain, helping you land the right role faster.
Assessment Modules:
Moduleβ―1: Data Strategy & Governance: Data-driven decision making and analytics culture, Data governance frameworks and policies, Data quality management and data lifecycle, Data privacy, security & compliance, Establishing data ownership & stewardship, Data strategy alignment with business goals
Moduleβ―2: Data Collection, Integration & Management: Data sources and data collection methods, Data cleaning, preprocessing, and transformation, Data integration and ETL (Extract, Transform, Load) processes, Data warehousing and data lake architecture, Master data management (MDM), Metadata management and cataloguing
Moduleβ―3: Descriptive & Exploratory Analytics: Exploratory Data Analysis (EDA) techniques, Descriptive statistics and summary measures, Data visualization principles and tools, Building dashboards and reports, Business Intelligence (BI) concepts and tools, KPI definition and tracking
Moduleβ―4: Predictive & Prescriptive Analytics: Predictive modeling techniques (regression, classification), Time-series forecasting, Machine learning fundamentals, Prescriptive analytics and optimization, Decisionβtree and simulation models, Evaluating and validating analytic models
Moduleβ―5: Data Communication & Change Management: Storytelling with data and data presentation, Communicating insights to stakeholders, Change management for data-driven transformation, Embedding analytics into business processes, Building cross-functional analytics teams, Measuring impact of analytics initiatives
Moduleβ―6: Analytics Leadership & Emerging Technologies: Leadership in analytics β roles & responsibilities, Talent management for analytics teams, Ethics and bias in data analytics, Automation and AI in analytics, Big data and cloud analytics, Analytics roadmap and futureβproofing strategy.
Career Opportunities After
Certificate in Data & Analytics Manager
The Certificate in Data & Analytics Manager prepares professionals to lead data-driven decision-making, manage enterprise analytics initiatives, and oversee data strategy implementation across organizations. The program develops expertise in data governance, analytics project leadership, business intelligence, predictive analytics, performance dashboards, and data-driven transformation strategies.
Graduates are in strong demand across IT companies, consulting firms, banking and financial institutions, e-commerce organizations, telecom companies, healthcare enterprises, and global capability centers (GCCs).
Key Job Roles & Salary Outlook (India)
1. Data & Analytics Manager
Role: Leads analytics teams, oversees enterprise data analysis projects, and ensures data-driven decision support for business units.
Salary: βΉ10 β 18 LPA | βΉ18 β 32 LPA (Experienced)
2. Business Intelligence (BI) Manager
Role: Manages BI platforms, develops dashboards and reporting systems, and drives performance analytics initiatives.
Salary: βΉ9 β 16 LPA | βΉ16 β 28 LPA
3. Data Strategy Manager
Role: Designs organizational data strategies, governance frameworks, and enterprise analytics roadmaps.
Salary: βΉ12 β 22 LPA | βΉ22 β 38 LPA
4. Analytics Operations Manager
Role: Oversees analytics delivery processes, project execution, and cross-functional data initiatives.
Salary: βΉ10 β 20 LPA | βΉ20 β 35 LPA
5. Customer & Marketing Analytics Manager
Role: Leads customer behavior analysis, campaign performance analytics, and predictive marketing insights.
Salary: βΉ9 β 18 LPA | βΉ18 β 30 LPA
6. Head of Data & Analytics / Analytics Director
Role: Drives enterprise-wide analytics transformation, AI-driven decision systems, and strategic data governance initiatives.
Salary: βΉ20 β 40 LPA | βΉ40 β 70+ LPA
Top Employment Sectors
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IT Services & Technology Companies
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Banking, Financial Services & FinTech
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E-commerce & Digital Platforms
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Telecom & Digital Infrastructure Companies
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Consulting & Analytics Firms
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Healthcare & Insurance Organizations
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Manufacturing & Supply Chain Companies
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Global Capability Centers (GCCs)
Skills That Increase Career Growth
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Data Governance & Data Management
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Business Intelligence & Dashboard Development
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Predictive & Prescriptive Analytics
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SQL, Python, R, and Data Visualization Tools
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Machine Learning & AI-driven Analytics Strategy
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Big Data Platforms (Hadoop, Spark, Cloud Analytics)
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Decision Intelligence & Data Storytelling
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Data Privacy & Compliance Management
Entrepreneurial Opportunities
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Data Analytics Consulting Firm
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Business Intelligence & Dashboard Development Services
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Marketing Analytics Consultancy
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Data Strategy Advisory Services
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AI & Predictive Analytics Solutions Company
Earning Potential (India)
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Entry Level: βΉ7 β 12 LPA
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Mid Level: βΉ15 β 30 LPA
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Senior Level: βΉ30 β 60+ LPA
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Chief Data & Analytics Leadership Roles: βΉ50 β 90+ LPA Equivalent












