Description
Course Name: Diploma in Quantitative Techniques in Business
Course Id: DQTB/Q1001.
Eligibility: Completion of 10+2 (higher Secondary) or equivalent.
Objective: Upon completing a Diploma in Quantitative Techniques in Business, individuals will be equipped with advanced analytical and problem-solving skills that can be applied across various business functions. Graduates will be able to use quantitative tools and techniques to make data-driven decisions, optimize operations, and develop strategies that lead to better business outcomes.
Duration: Six 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- 120 minutes.
- No. of Questions- 60. (Multiple Choice Questions).
- 10 Questions from each module, each carry 10 marks.
- Maximum Marks- 600, Passing Marks- 40%.
- There is no negative marking in this module.
| 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 | 41-50 | 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.
Diploma In Quantitative Techniques In Business
 Introduction to quantitative techniques- Basic Mathematics- Quantitative Techniques in Business, Elementary Calculus and Matrix Algebra, Forecasting- Correlation and Simple Regression, Business Forecasting and Time Series, Probability Distributions- Probability and Probability Distributions, Decision Theory, Operations Research- Linear Programming and Transportation Models, Networks, Queuing and Theory, Probability Distributions- Probability and Probability Distributions, Decision Theory, Operations Research- Linear Programming and Transportation Models, Networks, Queuing and Game Theory.
Correlation and Regression- Determining If There Is a Relationship, Solution, Find the Equation of the Regression Line, Calculating the Regression Equation with the Formula, Homework, Correlation, Calculating the Linear Correlation Coefficient, Causation, Correlation Versus Causation, Explained Variation, Finding the Coefficient of Determination, Inference for Regression and Correlation, Hypothesis Test for Correlation, Testing the Claim of a Linear Correlation, Prediction Interval, Finding the Standard Error of the Estimate from the Formula, Homework.
Probability and probability distributions- What is Statistics, Topics, Sample Spaces, Events, Visualizing Events, Simple Events, Joint Events, Special Events, Dependent or Independent Events, Contingency Table, Tree Diagram, Probability, Probability: Three Ways, Computing Probability, Random Variable, Probability Distribution, Discrete Probability Distribution, Two or More Random Variables, Computing Joint Probability, Joint Probability Using Contingency Table, Conditional Probability and Statistical Independence, Discrete Probability Distribution Example.
Time Series and Index Number- Introduction, Use of Index Numbers, Construction of Index Number, Simple (Unweighted) Aggregative Method, Simple Average of relatives Method, Weighted Aggregative Method, Laspeyres’ Index, Fisher’s Ideal method, Marshall-Edgeworth’s Method, Types of Index Numbers, Limitations of an Index Number, Test of Adequacy of Index Numbers, Time-reversal Test, Trend analysis by fitting linear trend line, Trend analysis by moving average method.
Sampling- Introduction to the subthemes, Simple random sampling without replacement, Stratified samples, Cluster sampling, Two-stage sampling and Systematic sampling, Samples with equal and unequal inclusion probabilities, Ratio estimator, Regression estimator, Post stratified estimators, General description, Scope and relationship with other themes, Place in the statistical process, Short description, Detailed description, Stratified samples, Applicability, Detailed description, Quality indicators, Short description.
Uni-Variate Data Analysis- Types of data, numerical and categorical data, discrete and continuous data, Types of data, Stem plots, dot plots, frequency histograms and bar charts, dot plots, frequency histograms and bar charts, describing the shape of stem plots and histograms, Skewed distributions, describing the shape of stem plots and histograms, The median, the interquartile range, the range and the mode, The median, The interquartile range, The median, the interquartile range, the range and the mode.
Job Opportunities after completion of Diploma in Quantitative Techniques in Business course:
Graduates with a Diploma in Quantitative Techniques in Business have a variety of career opportunities in data analysis, financial modeling, operations, and decision-making roles. Here’s a detailed overview of career options and salary ranges in India:
1. Data Analyst
- Role: Analyze large datasets, generate insights, and support data-driven business decisions.
- Salary:
- Entry-level: ₹3–6 LPA
- Mid-level: ₹7–12 LPA
- Senior-level: ₹12–20 LPA
2. Business Analyst
- Role: Evaluate business processes, identify improvement areas, and provide data-driven solutions.
- Salary:
- Entry-level: ₹4–7 LPA
- Mid-level: ₹8–14 LPA
- Senior-level: ₹14–20 LPA
3. Operations Analyst
- Role: Use quantitative models to optimize operational efficiency and solve business challenges.
- Salary:
- Entry-level: ₹3.5–6 LPA
- Mid-level: ₹6–10 LPA
- Senior-level: ₹10–15 LPA
4. Financial Analyst
- Role: Analyze financial data, build models, and provide recommendations for investment decisions.
- Salary:
- Entry-level: ₹3.5–6 LPA
- Mid-level: ₹6–12 LPA
- Senior-level: ₹12–20 LPA
5. Market Research Analyst
- Role: Conduct quantitative research to assess market trends, customer behavior, and competitive landscapes.
- Salary:
- Entry-level: ₹3–5 LPA
- Mid-level: ₹5–8 LPA
- Senior-level: ₹8–12 LPA
6. Risk Analyst
- Role: Use statistical models to identify, measure, and mitigate business risks.
- Salary:
- Entry-level: ₹3.5–6 LPA
- Mid-level: ₹6–12 LPA
- Senior-level: ₹12–20 LPA
7. Supply Chain Analyst
- Role: Optimize supply chain processes using data analysis and quantitative techniques.
- Salary:
- Entry-level: ₹3–6 LPA
- Mid-level: ₹7–12 LPA
- Senior-level: ₹12–18 LPA
8. Quantitative Researcher
- Role: Apply mathematical and statistical models for business, finance, or market analysis.
- Salary:
- Entry-level: ₹4–7 LPA
- Mid-level: ₹8–15 LPA
- Senior-level: ₹15–25 LPA
9. Pricing Analyst
- Role: Develop pricing models using quantitative data to maximize profitability and market competitiveness.
- Salary:
- Entry-level: ₹3–5 LPA
- Mid-level: ₹6–10 LPA
- Senior-level: ₹10–15 LPA
10. Statistician
- Role: Perform statistical analysis and develop models to solve business problems.
- Salary:
- Entry-level: ₹4–6 LPA
- Mid-level: ₹6–10 LPA
- Senior-level: ₹10–18 LPA
Industries Employing Graduates
- Banking and Financial Services
- IT and Analytics Firms
- Retail and E-commerce
- Logistics and Supply Chain
- Consulting Firms
- Manufacturing and Operations
Key Factors Influencing Salaries in India
- Location: Metro cities (Mumbai, Bengaluru, Pune, Delhi) offer higher pay.
- Skills: Proficiency in tools like Excel, SQL, Python, R, Tableau, or Power BI can significantly increase earning potential.
- Certifications: Additional certifications in data analytics, statistics, or operations research boost career prospects.
- Experience: Salaries grow significantly with expertise and managerial responsibilities.
Graduates can build rewarding careers as businesses increasingly rely on quantitative analysis for strategic decision-making.