Course curriculum

    1. 1. Loan Default Prediction & Forecasting - Course Introduction

      FREE PREVIEW

    2. 2. Loan Default Prediction & Forecasting - Business Context

      FREE PREVIEW

    3. 3. Data Architecture Model

    4. 4. Banking Source Data Investigation

    5. 5. Relationship amongst data entities

    6. 6.Target Datamart Tables]

    7. 7. Data Warehouse & DataMart (MySQL) Installation

    8. 8. Data Integration - Apache Nifi Installation

      FREE PREVIEW

    9. 9. Anaconda - A Step-by-Step Guide to Installation and Configuration

    10. 10. DWH & Datamart Creation

    11. 11. Data Warehouse Loading by Using Apache Nifi

    12. 12. Data Relationship & Datamart Loading SQL

    13. 13. DataMart Loading by Using Apache Nifi

    14. 14. Machine Learning Model Processes

    15. 15. Business Problem, Import Libraries and Data & Exploratory Data Analysis

    16. 16. XGBoost Algorithm Theory

    17. 17. XGBoost Implementation

    18. 18. Artificial Neural Network - ANN Algorithm Theory

    19. 19.ANN Implementation

    20. 20. Time Series Prophet Model Overview

    21. 21. Loan Default Time Series Prophet Implementation

About this course

  • $24.00
  • 21 lessons
  • 3.5 hours of video content

Instructor(s)

Instructor Bio:

I'm a seasoned author deeply passionate about data strategy and management. With over 15 years in IT, spanning banking, insurance, and retail, I've held key roles such as Data Division Director and Chief Data Officer. Currently, as Director of Data Division, I shape data initiatives, while as a Governance & Analytics expert, I establish robust frameworks. Through my writing, I share practical strategies and insights honed from diverse industry experience.

Dien Pham Cong

Chief Data Officer

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