Description
Course Name: Advanced Diploma in Business Analytics
Course Id: ADBA/Q1001.
Eligibility: Completion of 10+2 (higher Secondary) or equivalent.
Objective: An Advanced Diploma in Business Analytics is a highly valuable qualification for those looking to pursue or advance their careers in the data-driven world of business. The program equips students with a strong foundation in data analysis, machine learning, business intelligence, and predictive analytics, making them highly sought after in industries that rely on data for decision-making.
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.
Syllabus
Big Data Analytics: Introduction To Big Data, Big data analytics, Analytical theory and methods, Data product & big data operating system, Distributed analysis and patterns, Data mining and warehousing.
Quantitative Methods: Meaning of determinants, Cofactors and minor of an element, Arithmetic operations on matrices, Arithmetic operations on matrices, Tabulation and presentation of statistical data, Rules of probability, Random variable, Analysis of a time series, Components of a time series, Linear programming.
Data Visualization: Introduction to statistics, Normal distribution, Data analysis, Data Manipulation packages, Data table, Basic plots using matplotlib, Advanced data visualization tools, Spatial Visualizations and Analysis using Folium.
Predictive Analytics: Introduction, Overview of predictive analytics, setting up the problem, Data preparation, Principal component analysis, Predictive modelling, Assessing predictive models, Text mining, Case studies.
Financial Analytics: Analytical thinking, The language for statistical computing, Financial Statistics, Dataset analytics and risk measurement, Ranking investment candidates, Data mining with portfolio optimization, Auto-regressive moving average processes, Data mining with portfolio optimization, Gauging the market sentiment, Data exploration using fundamentals, Hypothesis testing.
Project Management: Characteristics of a project, Steps in defining project and project delays, Components of project feasibility studies, Project life cycle, Project evaluation under certainty and uncertainty, Commercial or financial profitability, Crashing and resource levelling of projects, Project appraisal and control process.
After successful completion of the Advanced Diploma in Business Analytics program, graduates are equipped with specialized skills in data analysis, statistical techniques, data visualization, predictive modeling, and decision-making based on data-driven insights. Business analytics professionals are highly sought after in industries such as finance, healthcare, retail, e-commerce, manufacturing, and technology, as businesses increasingly rely on data to make informed decisions and optimize operations.
Career Options for Graduates of Advanced Diploma in Business Analytics:
1. Data Analyst
- Role: Data Analysts analyze and interpret data to help organizations make informed decisions. They work with large datasets, clean and organize data, and perform statistical analysis to uncover trends and patterns.
- Salary Range:
- Entry-level: ₹4,00,000 – ₹6,00,000 per annum
- Mid-level: ₹6,00,000 – ₹10,00,000 per annum
- Senior-level: ₹10,00,000 – ₹14,00,000+ per annum
2. Business Analyst
- Role: Business Analysts bridge the gap between IT and business by analyzing data and providing actionable insights to improve business processes. They often work on identifying areas for improvement, setting business strategies, and ensuring that business decisions are data-driven.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹7,00,000 per annum
- Mid-level: ₹7,00,000 – ₹12,00,000 per annum
- Senior-level: ₹12,00,000 – ₹20,00,000+ per annum
3. Data Scientist
- Role: Data Scientists analyze large sets of structured and unstructured data to develop predictive models, perform machine learning, and create data-driven solutions for complex business problems. They often use programming languages like Python, R, and SQL, and are skilled in machine learning algorithms.
- Salary Range:
- Entry-level: ₹6,00,000 – ₹8,00,000 per annum
- Mid-level: ₹8,00,000 – ₹15,00,000 per annum
- Senior-level: ₹15,00,000 – ₹30,00,000+ per annum
4. Business Intelligence (BI) Analyst
- Role: BI Analysts help organizations make data-driven decisions by using data visualization tools and reporting software to analyze business performance and trends. They work with tools like Tableau, Power BI, or QlikView to create dashboards and reports.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹7,00,000 per annum
- Mid-level: ₹7,00,000 – ₹12,00,000 per annum
- Senior-level: ₹12,00,000 – ₹18,00,000+ per annum
5. Data Engineer
- Role: Data Engineers design and build the infrastructure for data generation, collection, and storage. They focus on building robust data pipelines and integrating data systems that ensure the quality and scalability of data for analysis.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹8,00,000 per annum
- Mid-level: ₹8,00,000 – ₹12,00,000 per annum
- Senior-level: ₹12,00,000 – ₹20,00,000+ per annum
6. Machine Learning Engineer
- Role: Machine Learning Engineers design and implement machine learning algorithms that allow systems to learn from data. They focus on improving the accuracy and efficiency of machine learning models, using techniques such as natural language processing (NLP), deep learning, and reinforcement learning.
- Salary Range:
- Entry-level: ₹6,00,000 – ₹8,00,000 per annum
- Mid-level: ₹8,00,000 – ₹15,00,000 per annum
- Senior-level: ₹15,00,000 – ₹25,00,000+ per annum
7. Marketing Analyst
- Role: Marketing Analysts use data analytics to understand consumer behavior, measure the effectiveness of marketing campaigns, and provide insights to optimize marketing strategies. They analyze sales data, customer feedback, and trends to help businesses target their audience more effectively.
- Salary Range:
- Entry-level: ₹4,00,000 – ₹6,00,000 per annum
- Mid-level: ₹6,00,000 – ₹10,00,000 per annum
- Senior-level: ₹10,00,000 – ₹15,00,000+ per annum
8. Risk Analyst
- Role: Risk Analysts use data to assess and manage financial, operational, and market risks. They analyze risk factors, identify potential threats, and suggest mitigation strategies to protect the organization from losses.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹7,00,000 per annum
- Mid-level: ₹7,00,000 – ₹12,00,000 per annum
- Senior-level: ₹12,00,000 – ₹18,00,000+ per annum
9. Financial Analyst
- Role: Financial Analysts analyze data related to financial performance, market trends, and economic conditions. They use business analytics tools to provide insights into budgeting, forecasting, and investment decisions.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹7,00,000 per annum
- Mid-level: ₹7,00,000 – ₹12,00,000 per annum
- Senior-level: ₹12,00,000 – ₹18,00,000+ per annum
10. Operations Analyst
- Role: Operations Analysts use data analytics to streamline business processes, improve operational efficiency, and reduce costs. They focus on optimizing workflows, resource allocation, and supply chain operations.
- Salary Range:
- Entry-level: ₹5,00,000 – ₹7,00,000 per annum
- Mid-level: ₹7,00,000 – ₹10,00,000 per annum
- Senior-level: ₹10,00,000 – ₹15,00,000+ per annum
Industries Hiring Business Analytics Graduates:
- E-commerce & Retail: Companies like Amazon, Flipkart, and Walmart rely heavily on data analytics to understand customer behavior, optimize sales strategies, and improve inventory management.
- Banking & Finance: Financial institutions use business analytics for risk management, fraud detection, market analysis, and customer profiling.
- Healthcare: Hospitals and pharmaceutical companies apply data analytics to predict patient outcomes, optimize treatment plans, and manage healthcare resources efficiently.
- Telecommunications: Telecom companies use analytics for network optimization, customer retention, and predictive maintenance.
- Consulting Firms: Consulting firms such as McKinsey, BCG, and Deloitte use business analytics to provide data-driven solutions to their clients in various industries.
- Technology & Software: Tech companies rely on analytics to improve product performance, monitor user behavior, and enhance customer experience.
Salary Growth Factors:
- Experience: As in most fields, experience plays a significant role in salary progression. Professionals with years of experience, especially those in senior roles, can earn much higher salaries.
- Skills and Tools: Proficiency in advanced analytics tools (e.g., Python, R, SAS), machine learning, and big data technologies (e.g., Hadoop, Spark) can significantly boost earning potential.
- Industry: Graduates working in high-demand sectors like technology, finance, and e-commerce often earn higher salaries compared to those in smaller or less data-centric industries.
- Location: Salary packages in major metropolitan areas such as Bengaluru, Mumbai, Delhi, and Pune tend to be higher due to the concentration of tech companies, startups, and multinationals in these cities.
Career Growth Potential:
Graduates of the Advance Diploma in Business Analytics program can advance in their careers to reach top-level positions such as:
- Chief Data Officer (CDO)
- Director of Analytics
- Head of Data Science
- Chief Information Officer (CIO)
- VP of Operations / Marketing / Finance with Data Focus
As businesses continue to rely on data to make strategic decisions, the demand for skilled professionals in business analytics is expected to grow, providing graduates with excellent career opportunities, job stability, and the potential for high earnings.
