Course Overview
Financial Data Analytics (45h) is a practical, career-focused course designed to teach learners how to collect, clean, analyze, visualize, and interpret financial data to support better business and investment decisions.
এই কোর্সে learners শিখবে কীভাবে Excel, SQL, Python, Power BI এবং financial analytics techniques ব্যবহার করে raw financial data থেকে meaningful insights বের করতে হয়। পাশাপাশি financial performance analysis, KPI analysis, trend analysis, profitability analysis, forecasting এবং data-driven decision-making-এর practical skills develop করা হবে।
Course Objectives
এই course শেষে learners পারবে:
- Financial data analytics-এর fundamentals বুঝতে
- বিভিন্ন source থেকে financial data collect ও organize করতে
- Excel দিয়ে advanced financial data analysis করতে
- SQL ব্যবহার করে financial databases থেকে data extract করতে
- Python দিয়ে financial data cleaning ও analysis করতে
- Financial datasets clean, transform ও prepare করতে
- Statistical techniques ব্যবহার করে financial data analyze করতে
- Revenue, cost, profit এবং financial KPIs analyze করতে
- Trend ও performance analysis করতে
- Financial data visualization তৈরি করতে
- Power BI দিয়ে interactive financial dashboards তৈরি করতে
- Basic financial forecasting ও predictive analysis করতে
- Data-driven business ও financial decisions-এর জন্য actionable insights তৈরি করতে
Course Curriculum
Module 01: Introduction to Financial Data Analytics
- What is Financial Data Analytics?
- Role of Data Analytics in Finance
- Financial Data Types
- Structured vs Unstructured Data
- Financial Data Sources
- Data Analytics Workflow
- Descriptive, Diagnostic, Predictive & Prescriptive Analytics
- Real-world Applications of Financial Analytics
Module 02: Financial Data Collection & Preparation
- Collecting Financial Data
- Excel, CSV & Database Data
- Understanding Financial Datasets
- Data Quality & Validation
- Missing Data Handling
- Duplicate Data Removal
- Data Formatting
- Data Cleaning Techniques
- Preparing Data for Analysis
Module 03: Advanced Excel for Financial Analytics
- Advanced Excel Functions
- Lookup & Reference Functions
- IF, SUMIFS, COUNTIFS & Logical Functions
- Pivot Tables
- Pivot Charts
- Financial KPI Analysis
- Data Validation
- Conditional Formatting
- Financial Reporting with Excel
- Scenario & What-if Analysis
Module 04: SQL for Financial Data Analysis
- Introduction to SQL
- Database Fundamentals
- SELECT, WHERE & ORDER BY
- GROUP BY & HAVING
- Aggregate Functions
- JOIN Operations
- Subqueries
- CASE Statements
- Date-based Analysis
- Financial Transaction Analysis
- Extracting Business Insights from Databases
Module 05: Python for Financial Data Analytics
- Introduction to Python for Finance
- Python Environment & Jupyter Notebook
- Variables & Data Structures
- NumPy Basics
- Pandas for Financial Data
- Importing Excel & CSV Data
- Data Cleaning with Pandas
- Filtering & Grouping Data
- Merging Financial Datasets
- Exploratory Data Analysis (EDA)
Module 06: Statistical Analysis for Finance
- Introduction to Financial Statistics
- Mean, Median & Standard Deviation
- Variance & Volatility
- Correlation Analysis
- Covariance
- Distribution of Financial Data
- Outlier Detection
- Risk & Return Analysis
- Interpreting Statistical Results
Module 07: Financial Performance Analytics
- Revenue Analysis
- Cost & Expense Analysis
- Profitability Analysis
- Gross Profit & Net Profit
- Profit Margin Analysis
- Customer & Product Performance
- Financial KPI Analysis
- Growth Rate Analysis
- Trend Analysis
- Budget vs Actual Analysis
- Variance Analysis
Module 08: Financial Data Visualization
- Principles of Data Visualization
- Choosing the Right Chart
- Financial Charts & Graphs
- Trend Visualization
- KPI Visualization
- Interactive Reports
- Dashboard Design Principles
- Storytelling with Financial Data
- Communicating Insights to Management
Module 09: Power BI for Financial Analytics
- Power BI Fundamentals
- Connecting Financial Data
- Power Query
- Data Transformation
- Data Modeling
- Relationships
- DAX Measures
- Financial KPIs
- Interactive Filters & Slicers
- Financial Dashboard Development
- Power BI Reporting
Module 10: Forecasting & Predictive Analytics
- Introduction to Financial Forecasting
- Time Series Data
- Trend & Seasonality
- Moving Average
- Forecasting Techniques
- Revenue Forecasting
- Sales Forecasting
- Basic Predictive Analytics
- Forecast Accuracy
- Interpreting Forecast Results
Module 11: Practical Financial Analytics Projects
- Real-world Financial Dataset
- Data Cleaning & Preparation
- Exploratory Data Analysis
- Financial KPI Analysis
- Revenue & Profitability Analysis
- Risk & Return Analysis
- Financial Dashboard
- Forecasting Model
- Business Insights & Final Presentation
Practical Projects
Course-এর practical section-এ learners real-world financial datasets ব্যবহার করে বিভিন্ন project তৈরি করবে:
- Financial Performance Analysis
- Revenue & Profitability Analytics
- Expense & Cost Analytics
- Budget vs Actual Analysis
- Financial KPI Dashboard
- Customer & Sales Analytics
- Risk & Return Analysis
- Financial Forecasting Project
Tools & Technologies
এই course-এ financial analytics-এর জন্য বিভিন্ন industry-relevant tools ব্যবহার করা হবে:
- Microsoft Excel
- SQL
- Python
- Pandas
- NumPy
- Power BI
- Jupyter Notebook
Who Should Take This Course?
এই courseটি বিশেষভাবে উপযোগী:
- Finance Professionals
- Financial Analysts
- Accountants
- Business Analysts
- Data Analysts
- Investment Professionals
- Banking Professionals
- Business Owners & Entrepreneurs
- Students & Fresh Graduates
- যারা Finance থেকে Data Analytics-এ যেতে চান
- যারা Data Analytics career শুরু করতে চান
- যারা Financial Reporting ও Decision Making improve করতে চান
Prerequisites
Advanced programming knowledge প্রয়োজন নেই।
Basic Excel, Mathematics, Statistics এবং Finance/Accounting concepts সম্পর্কে ধারণা থাকলে courseটি বুঝতে সুবিধা হবে। Python ও SQL-এর ক্ষেত্রে basic থেকে step-by-step শেখানো হবে, তাই beginners-রাও practical exercises-এর মাধ্যমে skills develop করতে পারবে।
What You Will Learn
By completing this 45-hour Financial Data Analytics course, you will learn how to transform raw financial data into meaningful insights, analytical reports, dashboards, and forecasts.
আপনি Excel, SQL, Python ও Power BI ব্যবহার করে financial data analyze করতে পারবেন এবং performance, profitability, risk, trends ও future opportunities সম্পর্কে data-driven insights তৈরি করতে পারবেন।
এই course আপনাকে traditional financial reporting থেকে modern data-driven financial analysis-এর দিকে এগিয়ে যেতে সাহায্য করবে।