--- title: Business Analytics Professional Certificate Course | Amity Online description: Advance your career with Amity Online's Business Analytics Professional certification. Learn data analysis, visualization, and decision-making skills for businesses. --- # Certificate in Business Analytics Professional Post successful completion, apply for paid internship In Collaboration With Unlock your potential with our 50-hour Certificate in Business Analytics Professional, a program designed to transform your analytical capabilities. Gain industry-relevant skills through real-world projects, hands-on learning, and content curated by KPMG experts. Learn to analyze, visualize, and model data effectively, equipping yourself to make data-driven decisions and stand out in the business world. **Business Analytics Fundamentals:** Understand the basics of analytics and the role of data in businesses. **Advanced Microsoft Excel Skills:** Learn advanced functions, data modelling, and analysis tools. **Power BI Visualization:** Create interactive dashboards and optimize data reports. **Predictive Modelling:** Build and evaluate regression and classification models. **Domain-Specific Analytics:** Apply analytics in marketing, HR, and finance for insights. **Practical Problem-Solving:** Solve real-world business challenges with hands-on projects. **Internship Opportunities:** Apply for a paid internship after you complete the program. **Flexible Learning:** Learn anytime, anywhere with our expert-led recorded lectures. \*Paid internship will be as per organization's norms or on a first-come, first-serve basis. Hurry! First batch intake closes on 30 Aug 2026 — only 5 internship spots left! ## Skills you'll gain ### Advanced Excel Skills Master functions, data connections, and analysis. ### Data Modelling Proficiently preprocess and model data using Power Pivot and Power Query. ### Data Visualization Create interactive dashboards and advanced visualizations with Power BI. ### Predictive Modelling Build and interpret regression and classification models. ### Domain Analytics Apply analytics in marketing, HR, and financial domains. ### Statistical Analysis Use statistical methods to interpret and analyze business data. ### Data Cleaning Techniques Efficiently clean, shape, and prepare raw data for analysis. ### Industry-relevant Skills Real-world professional experience through an internship\*. ## Tools and Platforms covered ### 1\. Fundamentals of Business Analytics - 5 Hours Grasp the basics of business analytics and its applications. Also, understand data types, sources, and their importance. 1. Introduction to Business Analytics 2. Various domain applications of Business Analytics 3. Importance of data in business and types of data 4. Sources of Data 5. Structured vs. Unstructured Data ### 2\. Spreadsheet Modelling using Advanced Excel - 10 Hours ### 3\. Data Analysis, Cleaning and Visualization using Power BI - 10 Hours ### 4\. Predictive Modelling - 10 Hours ### 5\. Domain Analytics in HR, Marketing and Finance - 15 Hours ## Earn and Share Your Certificate ## Meet our top-ranked faculty ### Lijin Kriss Assistant Manger, Advisory KPMG India ### Bharat Sharma Consultant, Advisory KPMG India ### Jagadish GS Analyst, Advisory KPMG India ### Dilip Balasubramanian Consultant Advisory-Transformation-BE, KPMG India ### Shalini Kanagasabapathy Consultant Advisory-Transformation-BE, KPMG India ### Kaushik Swaroop Consultant Advisory-Transformation-BE, KPMG India ## Amity Online Advantages: Why We're the Right Fit for You ### Learn from Analytics Experts and Industry Veterans Learn from experienced faculty and industry professionals who specialize in data analytics and business forecasting. Our experts help you build strong analytical skills and knowledge that meet industry standards. ### Real-World Case Studies and Data-Driven Projects Gain hands-on experience with data sets and business scenarios that reflect real-world challenges. This practical approach prepares you to make data-driven decisions in any business setting. ### Flexible Learning for Busy Professionals Study at your own pace with a flexible curriculum designed to fit around your schedule, making it ideal for working professionals looking to upskill. ### Certification with Industry Recognition Receive a certification in Business Analytics Professional from Amity University Online, respected by employers across the analytics and business intelligence sectors. - Total Modules: 5 Gain insight into a topic and learn the fundamentals. - Duration 50 hours - Level: Beginner No prior experience required - Internship Be eligible for internship (paid/unpaid) - Fee: ₹~~1,00,000~~ ₹60,000 ## Program Overview and Structure ### 1\. Fundamentals of Business Analytics - 5 Hours Grasp the basics of business analytics and its applications. Also, understand data types, sources, and their importance. 1. Introduction to Business Analytics 2. Various domain applications of Business Analytics 3. Importance of data in business and types of data 4. Sources of Data 5. Structured vs. Unstructured Data ### 2\. Spreadsheet Modelling using Advanced Excel - 10 Hours Master advanced Excel tools for efficient data analysis and modelling, including functions, preprocessing, and data summarization techniques. 1. Excel Formulas and Functions (Sumif, Countif, Averageif, Ifelse, Ifelse with AND/OR) 2. Data Connections (Web connections in Excel, Database connections in Excel) 3. Data Summarization (Using Pivot Tables) 4. Data Modelling (Power Pivot) 5. Data Preprocessing (Power Query: importing, cleaning, transforming data, custom columns) 6. Advanced Excel Functions (Sumifs, Countifs, Averageifs, TEXT, Vlookup, Introduction to Xlookup) 7. Data Analysis ToolPak (enabling and using the toolpack, Correlation feature demo) 8. What-if Analysis (Scenario Manager, Goal Seek, Solver demos) 9. Advanced Excel Add-ins (Real Statistics Resource Pack) ### 3\. Data Analysis, Cleaning and Visualization using Power BI - 10 Hours Learn to use Power BI for data visualization, cleaning, and shaping, as well as develop interactive dashboards and reports. 1. Introduction to Power BI and its features 2. Best practices in Data visualization 3. Data cleaning, shaping, and modelling in Power Query 4. Advanced visualizations and interactive report features 5. Publishing, sharing, and collaborating on Power BI reports 6. Performance optimization and advanced data modelling techniques ### 4\. Predictive Modelling - 10 Hours Understand predictive modelling techniques, including regression and classification, and evaluate models using industry-standard metrics. 1. Concept of Predictive Models 2. Classification vs. regression models 3. Understanding R Square, RMSE, and standard errors 4. Building and interpreting regression models (SLR and MLR) 5. Building binary classification models using logistic regression 6. Concept of confusion matrix ### 5\. Domain Analytics in HR, Marketing and Finance - 15 Hours Apply analytics in specific domains like marketing, HR, and finance, using practical tools and techniques for business decision-making. 1. Marketing Analytics: 2. Introduction to marketing analytics and its importance 3. Customer segmentation and market mix modelling 4. Market basket analysis and practical exercises in Excel 5. HR Analytics: 6. Introduction to HR analytics and its transformative role 7. Applied HR analytics: regression and classification models 8. Predictive analytics for attrition rate, employee CTC, and workforce planning 9. Financial Analytics: 10. Introduction to Financial Analytics 11. Applications in fraud detection, customer profiling, and creditworthiness ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they combine practical business analytics skills with real-world applications, industry-relevant tools, and expert-led learning, helping you build a strong foundation for data-driven decision-making across industries. ### Who is this program for? This program is for professionals and graduates who want to develop analytical skills to make data-driven business decisions and advance their careers in business analytics, consulting, marketing, finance, and related fields. ### What are the prerequisites for enrollment? There are no specific prerequisites for enrollment; however, a basic understanding of business concepts and an interest in data-driven decision-making can be helpful. ### What tools and technologies will I learn? You will learn tools and technologies like Excel, SQL, Tableau, Power BI, and basic concepts of Python and R for data analysis and business decision-making. ### How is the program structured? The program is structured to provide a strong foundation in business analytics through modules covering data analysis, statistical methods, predictive modeling, and data-driven decision-making, combining theoretical learning with practical case studies and projects. ### Will I receive a certificate upon completion? Yes, students will receive a certification upon successfully completing the program. ### How can I apply what I learn to my career? You can apply what you learn by using business analytics techniques to interpret data, generate insights, and support strategic decision-making, helping you grow in roles like business analyst, data consultant, or strategy professional. ### Does this program offer a paid internship? Yes! Students who successfully complete the program may become eligible for a paid internship with KPMG or its associates, depending on selection criteria. ### What roles are available in the paid internship? Interns work in consulting, analytics, product development, and business intelligence, handling dashboard development, data analysis, and strategic problem-solving. ### How much is the stipend? The average internship stipend is ₹8,000 per month. ### Where are the paid internships conducted? Paid internships are conducted in-person at KPMG India offices in cities such as: Gurugram, Noida, Bangalore, Mumbai, Pune, Chennai, Kochi, Kolkata, Chandigarh, and Ahmedabad. ### When do paid internships start? Paid internships are offered quarterly, with the selection process taking place in the last week of each quarter. ### Can I reapply if I don’t get selected? Yes, students can reapply twice, but only in alternate quarters. If a student declines a paid internship after selection, they will not be eligible to reapply. ### How do I enroll and what are the payment options? You can enroll by visiting our website and following the enrollment instructions. We offer various payment options, including credit/debit cards, online banking, and installment plans. ### Can I access course materials after completion? Yes, students will have continued access to learning materials even after completing the course.