Course curriculum

    1. 1. Course - Introduction

      FREE PREVIEW

    2. Materials

    3. 2. Business Context _ Features Required

      FREE PREVIEW

    4. 3. Data Architecture Model

    5. 4. Data Source Understanding

    6. 5. DWH DB Creation and Loading with Apache Nifi

    7. 6. MySQL Installation

    8. 7. Apache Nifi Installation

    9. 8. Anaconda, Python Installation and Configuration

    10. 9. Machine Learning Model Process

    11. 10. Jupyter Lab - Recall Business Context, Import Libraries & EDA

    12. 11. Feature Engineering

    13. 12. Random Forest Algorithm

    14. 13. Model Training with Random Forest Regressor

    15. 14. SARIMA Time Series Algorithm

    16. 15. Time Series Forecasting with SARIMA

    17. 16. Prophet Time Series Algorithm

    18. 17. Time Series Forecasting with PROPHET

    19. Special Gift For You (Bonus)

About this course

  • $9.90
  • 19 lessons
  • 2.5 hours of video content

ATM (& Customer) Transaction Forecasting and Fund Management in Banking

📘 What You'll Learn?

  • 💵 Cash Management Strategies: Efficiently stock ATMs to balance demand without overfilling.
  • 📈 Demand Forecasting Techniques: Predict transaction volumes using data trends, customer demographics, and external factors.
  • 🏆 Performance Assessment: Evaluate ATM performance based on location, type, and surroundings.
  • 👥 Customer Behavior Insights: Understand ATM usage trends to inform targeted marketing and services.
  • 🔧 Operational Efficiency: Optimize maintenance schedules to reduce downtime and enhance customer satisfaction.
  • 💻 Hands-on Skills: Work with MySQL, Apache Nifi, Jupyter Notebook, SARIMA, Prophet, and Random Forest.

📝 Requirements

  • 💻 Basic Knowledge of Data Analysis (Python or SQL preferred)
  • 📊 Familiarity with Banking or Financial Concepts is a plus but not required
  • 🔍 Curiosity to dive deep into predictive analytics and data modeling

📄 Description

Dive into the essential skills and tools needed for effective ATM transaction forecasting and cash management. As cash volumes become more unpredictable, this course offers powerful solutions to optimize ATM performance, enhance customer service, and make data-driven decisions in banking operations. Through hands-on exercises, gain practical experience with real-world tools to master forecasting techniques and improve ATM operations.

👥 Who This Course is For

  • 📈 Banking Professionals looking to optimize ATM management.
  • 🔎 Data Analysts interested in finance-specific forecasting.
  • 🧠 Financial Strategists aiming to leverage data for better cash and fund management.
  • 🌱 Students & Newbies eager to learn practical skills in predictive analytics for banking.

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

Instructor(s)

Instructor Bio:

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