Description
Course Name: Certificate in Business Analytics for Managers
Course Id: CBAM/Q0101.
Eligibility: Graduate or equivalent is required.
Objective:This course aims to provide managers with a strong foundation in business analytics by covering data interpretation, statistical analysis, and visualization techniques. It focuses on using analytical tools to identify trends, measure performance, and solve business problems.
Duration: Three Months.
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.
Syllabus:
Module 1: Introduction to Business Analytics: Definition and scope of business analytics, Importance of analytics in managerial decision-making, Types of analytics (descriptive, predictive, prescriptive), Role of managers in data-driven organizations, Key data sources in business environments, Understanding business metrics and KPIs, Data lifecycle and data quality, Overview of analytics tools and technologies, Business analytics in different industries, Ethical considerations in business analytics.
Module 2: Data Management and Preparation: Data collection methods and sources, Structured vs unstructured data, Data cleaning and preprocessing techniques, Data integration from multiple sources, Data warehousing and databases, Understanding spreadsheets for data handling, Introduction to SQL for managers, Data visualization basics, Importance of data governance, Tools for data management (Excel, Power BI, Tableau).
Module 3: Descriptive Analytics and Reporting: Understanding business trends using data, Summarizing data using tables and charts, Central tendency and dispersion measures, Data segmentation and filtering, Creating dashboards and reports, Cross-tabulation and pivot tables, Excel-based analytics for managers, Introduction to Power BI dashboards, Interpreting descriptive analytics output, Real-world applications in HR, marketing, and sales.
Module 4: Predictive Analytics and Forecasting: Basics of regression and correlation, Time-series forecasting methods, Introduction to predictive modeling, Customer segmentation using clustering, Risk prediction and churn analysis, Market basket analysis, Sales and demand forecasting, Interpreting outputs of predictive tools, Real-life examples of predictive analytics in business, Overview of Python/R in predictive analysis.
Module 5: Decision Making and Prescriptive Analytics: What-if analysis and scenario planning, Optimization models for resource allocation, Decision trees and simulations, Using Solver and Goal Seek in Excel, Prescriptive analytics in operations and finance, Cost-benefit analysis for managers, Strategic planning using analytics insights, Managerial dashboards for performance monitoring, Aligning analytics with business objectives, Tools for decision support systems (DSS).
Module 6: Implementation, Strategy and Case Studies: Building a data-driven culture in organizations, Aligning business goals with analytics projects, Common implementation challenges and solutions, Role of leadership in analytics adoption, Evaluating ROI of analytics initiatives, Analytics in supply chain and marketing strategy, Industry-specific analytics use cases, Presenting analytical findings to stakeholders, Final capstone project and review, Certification and managerial action plan.
Job Opportunities After Certificate in Business Analytics for Managers (India)
This program trains professionals in business data analysis, analytics tools, reporting, decision support, and strategic insights for roles in IT, consulting, BFSI, e-commerce, and corporate management.
Top Roles: Business Analyst, Data Analyst, Marketing Analyst, Operations / Supply Chain Analyst, Business Intelligence (BI) Analyst, Product Analyst, HR Analytics Executive, Financial / Risk Analyst, Management Reporting Analyst, Analytics & Strategy Consultant
Key Skills: Data cleaning & visualization, SQL / Python / Excel / Power BI / Tableau, KPI tracking, statistical & predictive analysis, market & customer insights, operational analytics, BI dashboards, strategic decision support, reporting & presentation
Salary Range (India):
- Entry-Level: ₹3.5 – 7 LPA
- Mid-Level: ₹7 – 14 LPA
- Senior-Level: ₹10 – 20+ LPA
- Analytics Head / Director: ₹25 – 45+ LPA
Employers: Deloitte, PwC, EY, McKinsey, BCG, Accenture, TCS, Infosys, Wipro, Capgemini, Amazon, Flipkart, Meesho, HUL, ITC, Reliance Retail, HDFC Bank, ICICI Bank, SBI, Bajaj Finserv
Scope & Growth: Career progression: Data Executive → Analyst → Senior Analyst → Strategy Lead → Business Analytics Manager → Director – Analytics → Analytics Head.
Reviews
There are no reviews yet.