Course Overview

Financial Analytics Professional (60h) হলো একটি Advanced & Career-Focused Program, যেখানে Financial Data Analysis, Business Intelligence, Forecasting, Risk Analysis এবং data-driven financial decision-making skills শেখানো হবে।

এই কোর্সে Excel, SQL, Python, Power BI, Statistics এবং Financial Modeling ব্যবহার করে real-world financial problems solve করার practical skills শেখানো হবে।

Learners Data Cleaning, KPI Analysis, Profitability Analysis, Risk & Return Analysis, Forecasting, Dashboard Development এবং advanced financial insights তৈরির complete workflow শিখবে।

Course Objectives

এই course শেষে learners পারবে:

• Professional-level financial analytics workflow তৈরি করতে
• Large financial datasets collect, clean ও transform করতে
• Advanced Excel ব্যবহার করে financial analysis করতে
• SQL দিয়ে financial databases থেকে complex data extract করতে
• Python দিয়ে financial data analysis ও automation করতে
• Pandas ও NumPy ব্যবহার করে financial datasets analyze করতে
• Statistical techniques দিয়ে financial performance ও risk analyze করতে
• Advanced financial KPIs develop করতে
• Revenue, cost, profitability ও cash flow analyze করতে
• Financial forecasting ও scenario analysis করতে
• Risk & return এবং investment performance evaluate করতে
• Financial models তৈরি ও interpret করতে
• Power BI দিয়ে professional financial dashboards তৈরি করতে
• Data-driven business & financial decisions support করতে
• Management-এর জন্য professional analytical reports তৈরি করতে

Course Curriculum

Module 01: Professional Financial Analytics Fundamentals

• Introduction to Financial Analytics
• Financial Analytics vs Business Analytics
• Role of Analytics in Modern Finance
• Financial Data Ecosystem
• Structured & Unstructured Financial Data
• Data Analytics Lifecycle
• Descriptive Analytics
• Diagnostic Analytics
• Predictive Analytics
• Prescriptive Analytics
• Building a Professional Analytics Workflow

Module 02: Advanced Financial Data Management

• Financial Data Sources
• Data Collection Techniques
• Excel & CSV Data
• Database Data
• API-based Financial Data Concepts
• Data Quality Assessment
• Missing Data Treatment
• Duplicate & Error Handling
• Data Transformation
• Data Validation
• Data Preparation for Analytics

Module 03: Advanced Excel for Financial Analytics

• Advanced Excel Functions
• XLOOKUP & INDEX-MATCH
• SUMIFS, COUNTIFS & Advanced Logical Functions
• Dynamic Arrays
• Pivot Tables & Pivot Charts
• Advanced Conditional Formatting
• Data Validation
• Scenario Analysis
• What-if Analysis
• Goal Seek
• Financial KPI Models
• Automated Financial Reporting
• Advanced Excel Dashboard

Module 04: SQL for Professional Financial Analytics

• Database Fundamentals
• Relational Database Concepts
• SELECT & Filtering
• Sorting & Aggregation
• GROUP BY & HAVING
• Advanced JOINs
• Subqueries
• CASE Statements
• Common Table Expressions (CTEs)
• Window Functions
• Date-based Financial Analysis
• Transaction-level Analysis
• Customer & Product Analytics
• Financial Reporting Queries

Module 05: Python for Financial Analytics

• Python for Finance
• Variables & Data Structures
• Functions & Modules
• NumPy Fundamentals
• Pandas for Financial Analysis
• Importing Financial Data
• Data Cleaning with Pandas
• Data Transformation
• Filtering & Grouping
• Merge & Join
• Exploratory Data Analysis
• Handling Time-Series Financial Data
• Automating Repetitive Analysis
• Generating Analytical Reports

Module 06: Statistical & Quantitative Analysis

• Descriptive Statistics
• Mean, Median & Mode
• Variance & Standard Deviation
• Correlation & Covariance
• Probability Concepts
• Distribution Analysis
• Outlier Detection
• Regression Fundamentals
• Hypothesis Testing Basics
• Statistical Interpretation
• Volatility Analysis
• Applying Statistics to Financial Problems

Module 07: Financial Performance Analytics

• Revenue Analytics
• Sales Growth Analysis
• Cost & Expense Analytics
• Gross Profit Analysis
• Operating Profit Analysis
• Net Profit Analysis
• Margin Analysis
• EBITDA Analysis
• Cash Flow Analytics
• Working Capital Analysis
• Financial Ratio Analysis
• KPI Development
• Trend & Variance Analysis

Module 08: Budgeting, Forecasting & Scenario Analysis

• Budgeting Fundamentals
• Budget vs Actual Analysis
• Variance Analysis
• Revenue Forecasting
• Expense Forecasting
• Cash Flow Forecasting
• Time-Series Concepts
• Moving Average
• Trend & Seasonality
• Forecast Models
• Scenario Planning
• Best Case / Base Case / Worst Case
• Sensitivity Analysis
• Forecast Interpretation

Module 09: Financial Modeling

• Introduction to Financial Modeling
• Financial Model Structure
• Assumptions & Drivers
• Revenue Model
• Cost Model
• Profit & Loss Model
• Cash Flow Model
• Balance Sheet Concepts
• Integrated Financial Model
• Scenario-based Modeling
• Sensitivity Analysis
• Model Validation
• Financial Model Presentation

Module 10: Investment & Portfolio Analytics

• Investment Analytics Fundamentals
• Risk & Return
• Historical Performance Analysis
• Return Calculation
• Volatility
• Sharpe Ratio Concepts
• Portfolio Performance
• Diversification
• Correlation Analysis
• Benchmark Comparison
• Investment Dashboard
• Interpreting Investment Data

Module 11: Risk Analytics

• Financial Risk Fundamentals
• Market Risk
• Credit Risk Concepts
• Liquidity Risk
• Operational Risk
• Risk Indicators
• Volatility Analysis
• Scenario Analysis
• Sensitivity Analysis
• Risk Monitoring Dashboard
• Data-driven Risk Assessment

Module 12: Power BI for Financial Intelligence

• Power BI Fundamentals
• Connecting Multiple Financial Data Sources
• Power Query
• Data Transformation
• Data Modeling
• Relationships
• Star Schema
• DAX Fundamentals
• Advanced Measures
• Time Intelligence
• Financial KPIs
• Interactive Slicers & Filters
• Drill-down & Drill-through
• Financial Dashboard Design
• Management Reporting

Module 13: Advanced Financial Visualization

• Principles of Financial Data Visualization
• Choosing the Right Chart
• KPI Cards
• Trend Analysis Charts
• Variance Visualization
• Profitability Visualization
• Risk Visualization
• Interactive Dashboards
• Storytelling with Data
• Executive-level Reporting
• Communicating Financial Insights

Module 14: Professional Capstone Projects

এই module-এ learners complete end-to-end real-world financial analytics projects করবে।

Project 01: Financial Performance Analytics

• Revenue Analysis
• Cost Analysis
• Profitability Analysis
• KPI Development
• Performance Dashboard

Project 02: Budget vs Actual Analytics

• Budget Data Preparation
• Actual Performance
• Variance Analysis
• Management Dashboard
• Business Recommendations

Project 03: Financial Forecasting

• Historical Data Analysis
• Trend Identification
• Forecast Development
• Scenario Analysis
• Forecast Dashboard

Project 04: Investment & Risk Analytics

• Return Analysis
• Risk Measurement
• Volatility Analysis
• Portfolio Performance
• Investment Dashboard

Tools & Technologies

এই course-এ industry-relevant tools এবং technologies ব্যবহার করা হবে:

• Microsoft Excel
• SQL
• Python
• Pandas
• NumPy
• Power BI
• DAX
• Jupyter Notebook
• Statistical & Financial Analysis Techniques

Practical Skills You Will Develop

Course শেষে learners practicalভাবে develop করবে:

• Financial Data Cleaning
• Financial Data Analysis
• SQL Data Extraction
• Python-based Analytics
• Statistical Analysis
• Financial Modeling
• Financial Forecasting
• Risk Analytics
• Investment Analytics
• KPI Development
• Power BI Dashboard Development
• Management Reporting
• Data-driven Decision Making

Who Should Take This Course?

এই courseটি বিশেষভাবে উপযোগী:

• Financial Analysts
• Finance Professionals
• Accountants
• Business Analysts
• Data Analysts
• Investment Analysts
• Banking Professionals
• Corporate Finance Professionals
• FP&A Professionals
• Business Intelligence Professionals
• Entrepreneurs & Business Owners
• Students & Fresh Graduates
• যারা Finance থেকে Analytics career-এ যেতে চান
• যারা professional-level Financial Analytics skills develop করতে চান

Prerequisites

Courseটি শুরু করার জন্য advanced programming experience mandatory নয়।

তবে basic Excel, Finance/Accounting, Mathematics এবং Statistics সম্পর্কে ধারণা থাকলে learning আরও সহজ হবে।

Python ও SQL-এর প্রয়োজনীয় concepts step-by-step শেখানো হবে, তাই motivated beginners-রাও courseটি follow করতে পারবে।

What You Will Learn

By completing this 60-hour Financial Analytics Professional course, you will be able to work with financial data from collection and cleaning to analysis, modeling, forecasting, visualization and decision-making.

আপনি Excel, SQL, Python ও Power BI ব্যবহার করে professional financial analysis করতে পারবেন এবং revenue, profitability, cash flow, investment performance, risk ও forecasting-এর মতো গুরুত্বপূর্ণ areas analyze করতে পারবেন।

সবচেয়ে গুরুত্বপূর্ণভাবে, এই course আপনাকে শুধু tools শেখাবে না—বরং financial data থেকে business insights বের করে সেই insight দিয়ে decision support করার professional approach develop করতে সাহায্য করবে।