Financial and Analytics With AI Certified Course

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About Course

Financial and Analytics with AI Certified Course is a comprehensive program designed to equip students and professionals with in-demand skills in financial analysis, business analytics, data visualization, and Artificial Intelligence technologies. This course helps learners understand how AI is transforming modern finance through predictive analytics, automation, forecasting, risk management, and intelligent decision-making. Participants gain practical knowledge in tools such as Excel, Power BI, Python, Tableau, SQL, and AI-driven analytics platforms while working on real-time financial datasets and case studies. The program focuses on developing analytical thinking, dashboard creation, financial reporting, machine learning basics, and business intelligence skills required in banking, fintech, investment, and corporate sectors. Upon successful completion, learners receive a certification that enhances career opportunities in Financial Analysis, Business Analytics, Data Science, Investment Banking, and AI-powered finance domains.

Key Features of Course Divine:

  • Collaboration with E‑Cell IIT Tirupati
  • 1:1 Online Mentorship Platform
  • Credit-Based Certification
  • Live Classes Led by Industry Experts
  • Live, Real-World Projects
  • 100% Placement Support
  • Potential Interview Training
  • Resume-Building Activities

Career Opportunities After Financial and Analytics With AI Certified Course:

• Financial Analyst
• Business Analyst
• Data Analyst
• AI Financial Consultant
• Investment Analyst
• Risk & Fraud Analyst
• Business Intelligence Executive
• Financial Planning Analyst
• Market Research Analyst
• Credit & Banking Analyst
• Data Visualization Specialist
• FinTech Analyst
• Reporting & MIS Executive
• AI-Powered Analytics Specialist

Essential Skills You Will Develop Financial and Analytics With AI Certified Course:

• Financial Data Analysis and Interpretation
• Artificial Intelligence in Finance Applications
• Business Analytics and Reporting Techniques
• Data Visualization Using Power BI and Tableau
• Advanced Microsoft Excel for Financial Analysis
• SQL for Database Management and Reporting
• Python Programming for Data Analytics
• Predictive Analytics and Forecasting Methods
• Financial Modeling and Business Forecasting
• Machine Learning Fundamentals for Analytics
• Risk Assessment and Fraud Detection Techniques

Tools Covered:

• Microsoft Excel
• Power BI
• Tableau
• Python
• SQL
• ChatGPT
• Google Colab
• Jupyter Notebook
• MySQL
• Microsoft Power Query
• AI-Based Analytics Tools

Syllabus:

Module 1: Introduction to Financial Analytics & AI

• Basics of Financial Analytics
• Introduction to Artificial Intelligence
• Role of AI in Finance Industry

Module 2: Accounting & Financial Fundamentals

• Financial Statements Overview
• Balance Sheet Analysis
• Profit & Loss Statement Understanding

Module 3: Advanced Microsoft Excel

• Formulas and Functions
• Pivot Tables and Charts
• Financial Data Analysis in Excel

Module 4: SQL for Data Management

• Database Fundamentals
• SQL Queries and Commands
• Financial Data Extraction Techniques

Module 5: Python for Financial Analytics

• Python Programming Basics
• Data Handling Using Pandas
• Financial Calculations with Python

Module 6: Data Visualization & BI Tools

• Power BI Dashboard Creation
• Tableau Visualization Techniques
• Interactive Reporting Methods

Module 7: Financial Modeling & Forecasting

• Budgeting and Forecasting
• Financial Modeling Techniques
• Predictive Analysis Concepts

Module 8: Machine Learning & AI Applications

• Machine Learning Fundamentals
• AI-Based Financial Predictions
• Automation in Financial Analytics

Module 9: Risk Management & Fraud Detection

• Risk Assessment Techniques
• Fraud Detection Methods
• Compliance and Security Basics

Module 10: Real-Time Projects & Career Preparation

• Industry Case Studies
• Resume and Interview Preparation
• Capstone Project Implementation

Industry Projects:

• AI-Based Financial Forecasting Project
• Business Intelligence Dashboard Development
• Banking and Loan Risk Analysis Project
• Investment Portfolio Performance Analysis
• Fraud Detection Using Data Analytics
• Sales and Revenue Analytics Dashboard
• Stock Market Trend Prediction Project
• Financial Statement Analysis Case Study

Who is this program for?

• Students who want to build a career in Finance, Analytics, or AI
• Graduates from Commerce, Engineering, and Management backgrounds
• Working professionals looking to upgrade skills in Data Analytics and Financial Analysis
• Freshers who want to enter Banking, FinTech, and IT Analytics roles
• Chartered Accountancy (CA), MBA, and BBA students
• Software developers interested in AI and Financial Data Science
• Accountants and finance executives seeking automation skills
• Business owners who want to use data-driven decision making

How To Apply:

Mobile: 9100348679

Email: coursedivine@gmail.com

 
 

 

 

 

 

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