Description
Certification Name: Certificate in Business Analytics Manager
Course Id: CBAM/Q0001.
Eligibility: Graduation or Equivalent.
Objective: The Certified Business Analytics Manager course is designed to equip professionals with the knowledge and practical skills to analyze data effectively and leverage insights for strategic business decision-making. It covers key areas such as data analytics techniques, business intelligence, statistical modeling, predictive analytics, data visualization, and performance measurement.
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: Business Analytics Fundamentals : Introduction to Business Analytics, Role and Responsibilities of a Business Analytics Manager, Types of Analytics (Descriptive, Diagnostic, Predictive, Prescriptive), Business Analytics Lifecycle, Importance of Data-Driven Decision Making, Trends and Challenges in Analytics
Module 2: Data Management and Preparation : Data Collection and Acquisition, Data Cleaning and Preprocessing, Data Integration and Transformation, Data Warehousing Concepts, Data Governance and Quality, Tools for Data Management
Module 3: Statistical Analysis and Modeling : Descriptive and Inferential Statistics, Probability and Hypothesis Testing, Regression Analysis, Time Series Analysis, Predictive Modeling Techniques, Model Validation and Evaluation
Module 4: Business Intelligence and Visualization : Introduction to Business Intelligence, Data Visualization Techniques, Dashboard Design and Reporting, Tools for BI (Power BI, Tableau, etc.), Storytelling with Data, Key Performance Indicators (KPIs) and Metrics
Module 5: Advanced Analytics and Machine Learning : Introduction to Machine Learning, Supervised and Unsupervised Learning, Text and Sentiment Analysis, Predictive Analytics Applications, Prescriptive Analytics Techniques, Implementing Analytics Solutions in Business
Module 6: Analytics Strategy and Governance : Analytics Strategy Development, Aligning Analytics with Business Goals, Performance Measurement of Analytics Initiatives, Data Privacy and Regulatory Compliance, Managing Analytics Teams and Projects, Continuous Improvement and Innovation in Analytics
