Description
Course Name: Diploma in Business Analytics
Course Id: DBA/Q0001.
Eligibility: Completion of 10+2 (higher Secondary) or equivalent.
Objective: A Diploma in Business Analytics is an excellent choice for anyone looking to enter the field of data analysis and apply data-driven decision-making to business challenges. The program provides a comprehensive understanding of key analytics concepts, tools, and techniques, equipping students with the skills needed to thrive in today’s data-centric business world. Whether working in marketing, finance, operations, or consulting, graduates will be well-prepared to analyze data, generate insights, and contribute to business success.
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
Introduction to Business Analytics: Overview of Business Analytics, Types of Business Analytics (Descriptive, Predictive, Prescriptive), Importance of Data in Decision Making, Key Concepts in Analytics (Data, Information, Knowledge), Data Analytics Process, Tools and Technologies for Business Analytics, Role of Analytics in Business Strategy, Types of Data (Structured, Unstructured), Understanding Big Data and its Significance, Ethical Considerations in Business Analytics.
Data Collection and Data Mining: Data Collection Methods and Techniques, Primary and Secondary Data Sources, Tools for Data Collection and Management, Data Quality and Validation, Introduction to Data Mining, Data Cleaning and Preprocessing, Techniques in Data Mining (Clustering, Classification, Association), Data Exploration and Visualization, Use of Software Tools for Data Mining (R, Python, SAS), Applications of Data Mining in Business.
Statistical Techniques for Business Analytics: Introduction to Statistics for Business Analytics, Descriptive Statistics and Measures of Central Tendency, Probability Distributions and Sampling Methods, Hypothesis Testing and Confidence Intervals, Regression Analysis (Linear and Multiple), Correlation Analysis, ANOVA and Chi-Square Tests, Time Series Analysis and Forecasting, Statistical Tools for Data Analysis (Excel, SPSS), Applications of Statistical Techniques in Business Decision Making.
Predictive Analytics and Modeling: Introduction to Predictive Analytics, Key Concepts in Predictive Modeling, Building Predictive Models (Regression, Classification), Machine Learning Algorithms in Predictive Analytics, Data Preparation and Feature Engineering, Model Evaluation Techniques (Accuracy, Precision, Recall, F1 Score), Overfitting and Underfitting in Models, Cross-Validation Techniques, Model Deployment and Monitoring, Applications of Predictive Analytics in Business.
Data Visualization and Reporting: Importance of Data Visualization in Business Analytics, Principles of Effective Visualization, Types of Visualizations (Charts, Graphs, Dashboards), Tools for Data Visualization (Power BI, Tableau, Excel), Data Interpretation and Presentation Techniques, Designing Interactive Dashboards, Communicating Insights through Visuals, Storytelling with Data, Building Business Reports, Case Studies on Data Visualization in Decision Making.
Business Intelligence (BI) and Analytics Tools: Introduction to Business Intelligence, Role of BI in Business Decision Making, BI Tools and Technologies (Power BI, Tableau, QlikView), Data Warehousing Concepts, OLAP (Online Analytical Processing) Tools, ETL (Extract, Transform, Load) Process, Data Governance and Security, Data Integration and Reporting, Key Performance Indicators (KPIs) for Business, BI Solutions for Strategic Planning and Performance Monitoring.
Job Opportunities after Diploma in Business Analytics
Graduates of this program gain knowledge in data analysis, statistical techniques, business intelligence, data visualization, and decision-making tools, preparing them for roles in analytics, consulting, and business strategy.
Key Career Options: Business Analyst, Data Analyst, MIS Analyst, Reporting Analyst, Business Intelligence (BI) Analyst, Operations Analyst, Marketing Analyst, Financial Analyst, Data Visualization Specialist, Analytics Executive.
Salary Range (India):
Entry-level: ₹3–6 LPA
Mid-level: ₹6–12 LPA
Senior-level: ₹12–25+ LPA
Industries Hiring Graduates: IT & Software Companies, Consulting Firms, Banking & Financial Services, E-commerce Companies, Healthcare Organizations, Retail & FMCG Companies, Telecom Sector, Startups, Government Projects.
Skills Developed: Data analysis, Excel & advanced analytics tools, SQL basics, data visualization (Power BI/Tableau), statistical analysis, business intelligence, problem-solving, and decision-making skills.
Graduates can progress to roles like Senior Business Analyst, Data Scientist, Analytics Manager, or Consultant, and can further enhance their careers through certifications in data science, AI/ML, or an MBA in Business Analytics.
