Virtual Training
Data Science, AI, and Advanced Analytics
Principles of Data Mining Online Course
Join our virtual, live instructor-led session and master Principles of Data Mining Training from anywhere in the world.
10 Days
Duration
Live Online
Delivery
7 Dates
Available
Certificate
Included
Master data mining principles to extract actionable insights, build predictive models, and drive evidence-based decisions through the CRISP-DM framework and advanced analytics.
Upcoming Virtual Training Schedules
Join from anywhere in the world with our live instructor-led sessions
| Code | Start Date | End Date | Duration | Fee | |
|---|---|---|---|---|---|
| PDM-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| PDM-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| PDM-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → | ||
| PDM-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| PDM-02 | Mon - Fri (10 Days) | USD 1,700 | Reserve my seat → Register my team → | ||
| PDM-02 | Weekend (8 Weeks) | USD 1,700 | Reserve my seat → Register my team → |
Here's What You'll Learn
Each module tackles real challenges you face in your role
1
Foundations of Data Mining Principles
2
Data Acquisition and ETL Workflows
3
Data Preprocessing and Quality Management
4
Exploratory Data Analysis and Visualization
5
Classification Techniques and Decision Logic
6
Clustering Algorithms and Pattern Recognition
7
Association Rule Mining and Market Basket Analysis
8
Regression Analysis and Predictive Modeling
9
Text Mining and Natural Language Processing
10
Model Evaluation and Validation Frameworks
11
Data Ethics
12
Deployment, Reporting, and Strategic Integration
Market-specific guidance for Poland
A country-aware view of the pressures, proof points, and practical tools that shape how this course applies locally.
Tools and platforms relevant to this field
4Field-relevant examples that may be featured in training where they support the confirmed scope. Exact coverage depends on participant needs and delivery format.
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Python Python Software FoundationUsed to clean datasets, build predictive models, and automate repeatable data-mining workflows.
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scikit-learn scikit-learn developersUsed for classification, regression, clustering, and model evaluation in standard data-mining pipelines.
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Microsoft SQL Server MicrosoftUsed for SQL-based data extraction, transformation, and preparation before analysis.
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Power BI MicrosoftUsed to present patterns, trends, and model outputs to business stakeholders in dashboard form.
Where this course runs
Principles of Data Mining Training is delivered in the cities below — pick the one that fits your schedule.
