Educonnhub

🎓 What You'll Learn?

• 📊 Loan Default Prediction & Forecasting
• 🏦 Business Context in Banking & Finance
• 🔍 Data Architecture and Data Investigation
• 🧰 Installing & Using Apache NiFi & Anaconda
• 💾 Building and Loading Data Warehouses (MySQL)
• 🔄 Data Integration & ETL processes
• 🤖 Mastering Machine Learning Models (XGBoost, ANN)
• 📈 Time Series Forecasting using Prophet

📌 Requirements

• 🖥️ Basic knowledge of Python
• 💡 Familiarity with Data Science concepts
• 🔧 Basic understanding of SQL
• 💾 No prior knowledge of Apache NiFi or Anaconda required (we will guide you through)

📜 Description

This course focuses on Loan Default Prediction and Time Series Forecasting within the banking domain. You will learn to:

• 🎯 Predict loan defaults using Machine Learning techniques like XGBoost and ANN
• 📅 Forecast future trends in defaults using Prophet
• 🏦 Understand banking data structures and real-world use cases
• 💡 Build scalable Data Pipelines with Apache NiFi and MySQL

By the end of this course, you’ll be able to forecast and predict loan defaults with real banking data, simulating real-world challenges and solutions.

👥 Who This Course is For

• 💼 Data Scientists looking to dive into banking data and time series forecasting
• 📊 Financial Analysts wanting to predict loan defaults and trends
• 🏦 Banking Professionals wanting to learn predictive modeling
• 👨‍💻 Aspiring Data Engineers who want to understand data architecture in real-world banking
• 🧑‍🏫 Students or Beginners keen to learn about machine learning, time series, and data integration

📚 Course Outline:

1. 📘 Course Introduction: Loan Default Prediction & Forecasting
2. 🏦 Business Context: Loan Default Prediction
3. 🏗️ Data Architecture Model
4. 🔍 Banking Source Data Investigation
5. 🧩 Relationship Amongst Data Entities
6. 🎯 Target Datamart Tables
7. 💻 Data Warehouse & Datamart (MySQL) Installation
8. 🔄 Data Integration with Apache NiFi
9. 🐍 Anaconda Installation & Configuration
10. 🏗️ DWH & Datamart Creation
11. 🔄 Data Warehouse Loading via Apache NiFi
12. 📊 Data Relationship & Datamart Loading with SQL
13. 🔄 DataMart Loading with Apache NiFi
14. 🤖 Machine Learning Model Processes
15. 🧑‍💻 Business Problem, Libraries, & Exploratory Data Analysis
16. 🧠 XGBoost Algorithm Theory
17. ⚙️ XGBoost Implementation
18. 🧠 Artificial Neural Network (ANN) Theory
19. ⚙️ ANN Implementation
20. 📈 Prophet Time Series Model Overview
21. 📊 Loan Default Time Series Forecasting with Prophet