Description

Course Name: Professional Certificate in Business Data Analysis
Course Id: PCBDA/Q0001

Eligibility: Graduate or Equivalent.

Objective: The Professional Certificate in Business Data Analysis is a specialized course designed to equip individuals with the skills needed to analyze data and make informed business decisions. It focuses on data analysis techniques, statistical tools, and the use of analytics software to interpret and visualize data, with the goal of improving business processes, optimizing strategies, and enhancing performance across various industries.

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)

 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

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 Options After Professional Certificate in Business Data Analysis

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1️⃣ Business Analyst

Role:

• Analyze business data, identify trends, create reports, and help management make data-driven decisions.

• Work closely with multiple departments (finance, marketing, sales, operations).

Industries:
IT, banking, consulting, retail, e-commerce, manufacturing, healthcare

Salary Range:
₹30,000 – ₹80,000/month
₹3.6 LPA – ₹10 LPA

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2️⃣ Data Analyst

Role:

• Collect, clean, and analyze data. Create dashboards, visualizations, and reports using tools like Excel, SQL, Power BI, or Tableau.

Industries:
IT, healthcare, telecom, BFSI, logistics, education

Salary Range:
₹30,000 – ₹90,000/month
₹3.6 LPA – ₹11 LPA

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3️⃣ Marketing Analyst

Role:

• Analyze marketing campaigns, customer behavior, and market trends.

• Help companies optimize ad spend, target audience, and marketing ROI.

Industries:
Advertising agencies, e-commerce, FMCG, digital marketing firms

Salary Range:
₹25,000 – ₹75,000/month
₹3 LPA – ₹9 LPA

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4️⃣ Financial Analyst (with finance domain knowledge)

Role:

• Analyze financial data, forecast trends, prepare investment models, support budgeting and financial decision-making.

Industries:
Banks, NBFCs, insurance, investment firms, consulting

Salary Range:
₹30,000 – ₹1,00,000/month
₹3.6 LPA – ₹12 LPA

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5️⃣ Operations Analyst

Role:

• Analyze business processes, supply chain performance, and operations efficiency to improve productivity and reduce costs.

Industries:
Logistics, manufacturing, supply chain companies, FMCG

Salary Range:
₹25,000 – ₹80,000/month
₹3 LPA – ₹9.6 LPA

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6️⃣ HR Analytics Specialist

Role:

• Analyze employee performance, retention, recruitment, and HR policies using data-driven models.

• Help HR teams make better decisions on hiring, training, and engagement.

Industries:
IT, corporates, HR consulting firms, MNCs

Salary Range:
₹25,000 – ₹70,000/month
₹3 LPA – ₹8.4 LPA

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7️⃣ Supply Chain Analyst

Role:

• Forecast demand, analyze supply chain data, monitor inventory, and optimize procurement processes.

Industries:
Manufacturing, FMCG, e-commerce, logistics, retail

Salary Range:
₹30,000 – ₹90,000/month
₹3.6 LPA – ₹11 LPA

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8️⃣ Customer Insights Analyst

Role:

• Analyze customer data, feedback, satisfaction surveys, and behavior to improve product or service offerings.

Industries:
Telecom, banking, e-commerce, hospitality, travel

Salary Range:
₹25,000 – ₹75,000/month
₹3 LPA – ₹9 LPA

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9️⃣ Risk Analyst

Role:

• Use analytics to assess business risks, financial risks, credit risks, and operational risks.

• Support risk mitigation strategies.

Industries:
Banks, NBFCs, insurance, credit rating agencies

Salary Range:
₹30,000 – ₹90,000/month
₹3.6 LPA – ₹11 LPA

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🔟 Data Visualization Specialist

Role:

• Design and develop interactive dashboards, visual reports, and data stories using Tableau, Power BI, or Google Data Studio.

Industries:
IT, consulting, e-commerce, business intelligence firms

Salary Range:
₹30,000 – ₹1,00,000/month
₹3.6 LPA – ₹12 LPA

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