Description

Course Name: Certificate in Business Analytics

Course Id: CIBA/Q1001.

Eligibility: Graduate or Equivalent.

Objective: The Certificate in Business Analytics is a short-term professional program designed to equip individuals with essential knowledge and skills in analyzing business data, interpreting trends, and making data-driven decisions. This course is ideal for students, professionals, and business leaders seeking to harness the power of analytics for organizational growth and success.

Duration: Two 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)

Benefits of Certification:

• Government Authorized Assessment Agency Certification.
• Certificate Valid for Lifetime.
• Lifetime Verification of Certificate.
• Free Job Assistance as per your Interest Area.

Syllabus

Introduction to Business Analytics: Definition and Importance of Business Analytics, Types of Business Analytics (Descriptive, Predictive, Prescriptive), Role of Data in Business Decision-Making, Business Intelligence vs. Business Analytics, Key Industries Using Business Analytics, Data-Driven Decision-Making Process, Role of Business Analysts in Organizations, Ethical Considerations in Business Analytics, Emerging Trends in Business Analytics, Case Studies on Business Analytics Applications.

Data Collection and Data Management: Types of Business Data (Structured vs. Unstructured), Sources of Business Data (Internal and External), Data Cleaning and Preparation Techniques, Data Warehousing and Data Lakes, Basics of SQL for Data Management, Introduction to ETL (Extract, Transform, Load) Processes, Master Data Management (MDM) Concepts, Handling Missing and Duplicate Data, Data Governance and Security, Tools for Data Collection and Management.

Statistical Analysis for Business Decisions: Introduction to Descriptive Statistics, Measures of Central Tendency and Dispersion, Probability Distributions in Business Analytics, Hypothesis Testing and Inferential Statistics, Correlation and Regression Analysis, Statistical Sampling Techniques, Time Series Analysis for Business Forecasting, Identifying Outliers and Anomalies, Applications of Statistical Analysis in Business, Using Statistical Tools (Excel, SPSS, R).

Data Visualization and Reporting: Importance of Data Visualization in Business Analytics, Principles of Effective Data Visualization, Types of Charts and Graphs for Business Reporting, Dashboard Creation and Data Storytelling, Business Intelligence Tools (Tableau, Power BI), Interactive Data Reports and Dashboards, Common Pitfalls in Data Visualization, Automating Reports and Insights Generation, Case Studies on Effective Business Reports, Hands-on Visualization Exercises.

Predictive Analytics and Machine Learning: Introduction to Predictive Analytics, Supervised vs. Unsupervised Learning, Basics of Machine Learning Algorithms (Regression, Classification, Clustering), Decision Trees and Random Forests, Neural Networks and Deep Learning in Business Analytics, Feature Engineering and Model Selection, Overfitting and Model Validation, Applications of Predictive Analytics in Business, Tools for Predictive Analytics (Python, R, SAS), Case Studies on Predictive Modeling.

Prescriptive Analytics and Optimization Techniques: Introduction to Prescriptive Analytics, Linear and Non-Linear Optimization Techniques, Decision Trees and Scenario Analysis, Simulation and Monte Carlo Methods, Game Theory Applications in Business, Resource Allocation and Optimization, Risk Management through Prescriptive Analytics, Real-Time Analytics and Decision-Making, Implementing Prescriptive Models in Businesses, Case Studies on Optimization in Business Operations.

📊📈 Career Scope After Certificate in Business Analytics – India

The Certificate in Business Analytics equips graduates with practical knowledge in data analysis, visualization, statistical tools, predictive modeling, and data-driven decision-making. It bridges the gap between raw data and business strategies, making graduates valuable across sectors like IT, finance, marketing, operations, e-commerce, and consulting.

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✅ 1. Top Career Opportunities & Job Roles

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🏢 2. Industries Hiring Business Analytics Professionals

• 🖥️ IT and Tech Services (Infosys, TCS, Accenture, Wipro)

• 🛍️ E-commerce (Amazon, Flipkart, Meesho)

• 🏦 Banking & Financial Services (HDFC, ICICI, Axis, FinTech startups)

• 🚗 Automotive and Manufacturing

• 📞 Telecom (Jio, Airtel, Vodafone Idea)

• 🏥 Healthcare & Pharma (Cipla, Apollo, MedPlus)

• 📺 Media and Digital Marketing Firms

• 📈 Consulting & Market Research Firms (McKinsey, Deloitte, Nielsen)

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💰 3. Salary Range in India (2025 Estimates)