--- title: Financial Analytics Certification | Amity Online description: Master financial analytics with Amity Online. Learn data-driven financial decision-making, risk assessment, and predictive analytics techniques. --- # Certificate in Financial Analytics Post successful completion, apply for paid internship In Collaboration With Unlock the potential of financial data with a Certificate in Financial Analytics, a program designed to empower you with the knowledge and tools needed to analyze, interpret, and leverage financial data for strategic decision-making. Whether you are a finance professional, data analyst, student, or MBA aspirant, this program is tailored to provide you with industry-relevant skills. It blends expert insights, hands-on projects, and cutting-edge tools to ensure you’re prepared for real-world challenges in financial analytics. **Industry-Relevant Skills:** Learn advanced financial analytics techniques from KPMG professionals. **Comprehensive Curriculum:** Master key topics like financial data analysis, predictive modelling, and risk management. **Recognition:** Earn an industry-recognized certificate from KPMG upon completion. **Practical Tools:** Gain proficiency in Python, Tableau, and SQL for financial analytics. **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 ### Financial Analytics Fundamentals Understand financial metrics, KPIs, and analytics applications. ### Data Collection and Preparation Master data cleaning, transformation, and normalization techniques. ### Descriptive Financial Data Analysis Conduct financial ratios, trends, and variance analysis. ### Predictive Modelling Learn regression and time series forecasting for finance. ### Risk Management Techniques Apply Value at Risk (VaR) and stress-testing methods. ### Data Visualization Create financial dashboards using Tableau. ### Scenario Analysis Evaluate different financial scenarios for informed decision-making. ### Industry-relevant Skills Real-world professional experience through an internship\*. ## Tools and Platforms covered ### 1\. Introduction to Financial Analytics Understand the fundamentals of financial analytics and its importance in business. Learn about key financial metrics, KPIs, and financial statements. 1. What is Financial Analytics? 2. Importance of Financial Analytics in Business 3. Key Financial Metrics and KPIs 4. Overview of Financial Statements 5. Applications of Financial Analytics ### 2\. Data Collection and Preparation ### 3\. Financial Data Analysis ### 4\. Predictive Analytics in Finance ### 5\. Financial Risk Management ### 6\. Financial Reporting and Visualization ## Earn and Share Your Certificate ## Meet our top-ranked faculty ### 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 financial analytics and business intelligence. Our experts help you build dynamic skills and knowledge that meet industry standards. ### Real-World Case Studies and Data-Driven Projects Gain hands-on experience in analyzing financial data, helping you make informed decisions and drive impactful outcomes. 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 Financial Analytics from Amity University Online, respected by employers across multiple sectors. - Total Modules: 6 Gain insight into a topic and learn the fundamentals. - Duration 24 hours - Level: Beginner No prior experience required - Internship Be eligible for internship (paid/unpaid) - Fee: ₹~~33,000~~ ₹21,000 ## Program Overview and Structure ### 1\. Introduction to Financial Analytics Understand the fundamentals of financial analytics and its importance in business. Learn about key financial metrics, KPIs, and financial statements. 1. What is Financial Analytics? 2. Importance of Financial Analytics in Business 3. Key Financial Metrics and KPIs 4. Overview of Financial Statements 5. Applications of Financial Analytics ### 2\. Data Collection and Preparation Master data collection and preparation techniques for financial analytics. Learn to handle missing data and perform data transformation and normalization. 1. Data Sources for Financial Analytics 2. Data Collection Techniques 3. Data Cleaning and Preparation 4. Handling Missing Data 5. Data Transformation and Normalization ### 3\. Financial Data Analysis Perform descriptive statistics and financial ratios analysis. Conduct trend, variance, sensitivity, and scenario analysis on financial data. 1. Descriptive Statistics for Financial Data 2. Financial Ratios Analysis 3. Trend Analysis 4. Variance and Sensitivity Analysis 5. Scenario Analysis ### 4\. Predictive Analytics in Finance Understand predictive analytics and its applications in finance. Learn time series analysis, forecasting, and regression analysis techniques. 1. Introduction to Predictive Analytics 2. Time Series Analysis 3. Forecasting Financial Metrics 4. Regression Analysis 5. Predictive Modelling Techniques ### 5\. Financial Risk Management Learn about financial risk management and different types of financial risks. Master risk assessment techniques, including VaR and stress testing. 1. Introduction to Financial Risk Management 2. Types of Financial Risks 3. Risk Assessment Techniques 4. Value at Risk (VaR) 5. Stress Testing and Scenario Analysis ### 6\. Financial Reporting and Visualization Understand financial reporting and create financial dashboards. Learn data visualization techniques and best practices for presenting financial data using Tableau. 1. Introduction to Financial Reporting 2. Creating Financial Dashboards 3. Data Visualization Techniques 4. Using Tableau for Financial Reporting 5. Best Practices for Financial Data Presentation ## Frequently Asked Questions ### What makes these certifications unique? These certifications are unique because they blend financial expertise with analytics skills, enabling you to make data-driven financial decisions and gain a competitive edge in finance and investment roles. ### Who is this program for? This program is for finance professionals, analysts, and students who want to enhance their ability to interpret financial data, build analytical models, and make data-driven financial decisions. ### What are the prerequisites for enrollment? There are no strict prerequisites for enrollment; however, a basic understanding of finance and an interest in data analysis will help you make the most of the program. ### What tools and technologies will I learn? You will learn tools and technologies such as Excel, SQL, Python, and key financial analytics techniques to analyze financial data, create models, and support data-driven financial decisions. ### How is the program structured? The program is structured to build your expertise in financial analytics through a mix of theoretical concepts, practical case studies, and hands-on exercises, helping you apply data-driven insights to financial decision-making. ### 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 financial analytics techniques to assess financial data, forecast trends, and support strategic financial decisions, helping you advance in roles like financial analyst, investment advisor, or finance manager. ### 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.