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Starts 4 July 2025 09:40

Ends 4 July 2025

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Data Mining for Business Analytics & Data Analysis in Python

Python for Data Analytics & Explainable Artificial Intelligence. Data Mining for Business Data Analytics & Intelligence.
via Udemy

4123 Courses


9 hours

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Overview

Are you looking to learn how to do Data Mining like a pro? Do you want to find actionable business insights using data science and analytics and explainable artificial intelligence?You have come to the right place.

Syllabus

  • Introduction to Data Mining and Business Analytics
  • Overview of Data Mining
    Importance of Data Mining in Business
    Introduction to Business Analytics
    Tools and Technologies Used
  • Setting Up Your Python Environment
  • Installing Python and Jupyter Notebook
    Overview of Essential Python Libraries (Pandas, NumPy, Matplotlib, Sci-kit Learn)
  • Data Preparation and Exploration
  • Collecting and Importing Data
    Data Cleaning and Preprocessing
    Exploratory Data Analysis (EDA)
    Handling Missing Data and Outliers
  • Data Mining Techniques
  • Supervised Learning Techniques
    Classification (Logistic Regression, Decision Trees, Random Forests)
    Regression Analysis
    Unsupervised Learning Techniques
    Clustering (K-Means, Hierarchical Clustering)
    Association Rule Mining
    Dimensionality Reduction (PCA)
  • Business Analytics Applications
  • Market Basket Analysis
    Customer Segmentation
    Sales Forecasting
    Predictive Maintenance
  • Explainable Artificial Intelligence (XAI)
  • Understanding Model Interpretability
    Tools and Techniques for Explainability (e.g., LIME, SHAP)
  • Advanced Topics in Data Analysis
  • Time Series Analysis
    Text Mining and Sentiment Analysis
    Anomaly Detection
  • Deploying Data Mining Models
  • Model Evaluation and Validation
    Implementing Models in Business Environments
  • Project Work
  • Real-world Business Case Study
    Data Mining Project Design and Execution
    Presentation of Business Insights and Recommendations
  • Conclusion and Future Directions
  • Emerging Trends in Data Mining and Analytics
    Continuous Learning Resources and Next Steps

Taught by

Diogo Alves de Resende


Subjects

Data Science