Business Administration (Finance)
Course 01
Financial Data Analysis with Excel (3 Months)
Master financial modeling and analytics using Excel.
Course 02
Introduction to Financial Analytics with Python (3 Months)
Learn data-driven decision-making for finance professionals.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.
Course 01
Financial Data Analysis with Excel (3 Months)
Financial Data Analysis with Excel
Duration: 3 Months | Fee: PKR 30,000
Course Overview
Unlock the power of Excel and AI-driven tools to analyze financial data like a pro! This course is designed for finance professionals, students, and business analysts who want to master financial modeling, forecasting, and data visualization using Excel, Google Sheets, and AI tools. Learn practical techniques to improve decision-making and financial reporting with real-world case studies and hands-on projects.
What You’ll Learn
✔ Excel Fundamentals for Financial Analysis – Learn essential Excel functions, formulas, and tools.
✔ Financial Functions & Statements – Master NPV, IRR, and ROI calculations with real financial data.
✔ AI-Driven Financial Analysis – Use Excel’s AI-powered features and Google Sheets’ Explore tool.
✔ Data Visualization & Reporting – Create dynamic charts and reports with Google Data Studio.
✔ Investment & Risk Analysis – Apply Excel for investment forecasting and decision-making.
✔ Final Project – Work on a real-world financial analysis project and present AI-driven insights.
Course Breakdown
Month 1: Excel & Basic Financial Analysis
📌 Introduction to Excel – Master fundamental functions (SUM, AVERAGE, COUNT).
📌 Financial Functions – Learn how to apply NPV, IRR, and PMT in real-world scenarios.
📌 Financial Statements Analysis – Work with balance sheets and income statements.
📌 Budgeting & Forecasting – Use Excel’s Forecast Sheet for predictive analytics.
Month 2: Intermediate Financial Analysis with AI
📌 Sensitivity Analysis – Perform scenario planning with data tables in Excel.
📌 Investment Analysis – Evaluate ROI and investment performance with AI tools.
📌 Data Visualization – Build interactive financial reports in Google Data Studio.
📌 AI in Financial Reporting – Automate data insights with Power BI & Google Sheets AI.
Month 3: Advanced Techniques & Final Project
📌 Advanced Excel Features – Use Power Query for data transformation.
📌 AI-Driven Financial Reporting – Generate reports with AI-powered tools.
📌 Final Project – Part 1 – Analyze financial data using Excel and AI.
📌 Final Project – Part 2 – Present insights using Google Data Studio.
Who Should Enroll?
✔ Finance & Business Students looking to enhance financial analysis skills.
✔ Working Professionals aiming to improve decision-making through data.
✔ Entrepreneurs who want to analyze financial trends for their business.
✔ Anyone interested in AI-powered financial data analysis!
Why Choose This Course?
✅ Hands-on Learning – Work on real financial datasets.
✅ Expert-Led Training – Learn from industry professionals.
✅ AI Integration – Explore cutting-edge financial tools.
✅ Career Growth – Gain in-demand Excel & analytics skills.
Course 02
Introduction to Financial Analytics with Python (3 Months)
Introduction to Financial Analytics with Python
Duration: 3 Months | Fee: PKR 30,000
Course Overview
Master the power of Python and AI-driven analytics to transform financial data into actionable insights. This course is designed for finance professionals, students, and analysts looking to gain hands-on expertise in data collection, financial modeling, predictive analytics, and AI-based risk management. By the end of this course, you’ll be able to build financial forecasting models, risk analysis tools, and fraud detection systems using Python and AI technologies.
What You’ll Learn
✔ Python for Financial Analysis – Learn essential Python libraries like Pandas, NumPy & Matplotlib.
✔ Data Cleaning & Processing – Use AI tools to structure and prepare financial data.
✔ Time Series Analysis – Analyze stock prices, trends, and forecasting techniques.
✔ Machine Learning in Finance – Build predictive models for stock prices, credit scoring & risk assessment.
✔ Portfolio Management – Optimize investments with Python.
✔ Fraud Detection with AI – Implement ML techniques for detecting financial fraud.
✔ Sentiment Analysis – Use AI to analyze financial news & market sentiment.
✔ Final Project – Work on a real-world financial dataset to develop AI-driven models.
Course Breakdown
Month 1: Introduction to Python for Financial Analytics
📌 Python Basics & AI Tools – Learn Python fundamentals & work with Google Colab.
📌 Data Collection & Cleaning – Use Pandas & AI tools to organize financial data.
📌 Time Series Analysis – Analyze stock prices & trends with Matplotlib.
📌 Machine Learning for Finance – Build basic predictive models using Scikit-Learn.
Month 2: Intermediate Financial Analytics with Python & AI
📌 Stock Market Predictions – Develop predictive models using Scikit-Learn.
📌 Portfolio Management – Track and optimize investments with Python.
📌 Credit Risk Analysis – Use AI models for credit scoring & risk assessment.
📌 Fraud Detection with ML – Build fraud detection systems using AI.
Month 3: Advanced Financial Analytics with AI
📌 Advanced ML for Finance – Work with TensorFlow for financial forecasting.
📌 Sentiment Analysis – Use NLP & VADER Sentiment for market analysis.
📌 Final Project – Part 1 – Build AI-driven financial models.
📌 Final Project – Part 2 – Present AI-driven insights with Google Data Studio.
Who Should Enroll?
✔ Finance & Business Students wanting to develop Python & AI skills.
✔ Financial Analysts & Professionals aiming to enhance data-driven decision-making.
✔ Data Science Enthusiasts interested in financial modeling & forecasting.
✔ Anyone looking to integrate AI into finance & investment strategies.
Why Choose This Course?
✅ Industry-Relevant Curriculum – Learn high-demand financial analytics skills.
✅ Hands-on Learning – Work on real-world financial datasets.
✅ AI-Driven Training – Implement cutting-edge financial tools.
✅ Career Advancement – Gain skills to stand out in finance & tech-driven roles.