This intensive course focuses on the various techniques used in data mining, particularly utilizing the Python programming language. Participants will learn how to extract meaningful insights from large datasets, using Python's powerful libraries and tools.
Topics covered will include data preprocessing, exploratory data analysis, machine learning algorithms, model evaluation, and data visualization using Python.
Who should attend the training
- Data analysts
- Data scientists
- Researchers
- IT professionals
- Anyone interested in data mining
Objectives of the training
- To equip participants with practical data mining skills using Python
- To understand and apply various data mining algorithms
- To enhance data preprocessing and visualization capabilities
- To improve model evaluation and interpretation skills
- To familiarize participants with Python libraries and tools for data mining
Personal benefits
- Gain expertise in data mining techniques
- Enhance your programming skills with Python
- Improve your data analysis and visualization abilities
- Stay updated with the latest tools and technologies
- Network with other professionals in the field
Organizational benefits
- Improved data-driven decision-making
- Enhanced efficiency in data analysis and reporting
- Access to cutting-edge tools and techniques
- Better interpretation and utilization of data insights
- Increased competitiveness in the industry
Training methodology
- Lectures
- Case studies
- Hands-on practical sessions
- Group discussions
- Real-world projects
Course duration: 5 days
Training fee: USD 1300
Module 1: Introduction to Data Mining
- Overview of Data Mining
- Data Mining Process
- Key Concepts and Terminology
- Applications of Data Mining
- Practical session: Implementing a Simple Data Mining Task
Module 2: Data Preprocessing Techniques
- Data Cleaning and Preparation
- Handling Missing Values
- Data Transformation and Normalization
- Feature Selection and Extraction
- Practical session: Preprocessing a Real-World Dataset
Module 3: Exploratory Data Analysis (EDA)
- Introduction to EDA
- Data Visualization Techniques
- Descriptive Statistics
- Identifying Patterns and Trends
- Practical session: Conducting EDA on a Dataset
Module 4: Supervised Learning Algorithms
- Introduction to Supervised Learning
- Regression Analysis
- Classification Algorithms
- Model Training and Evaluation
- Practical session: Building and Evaluating a Classification Model
Module 5: Unsupervised Learning Algorithms
- Introduction to Unsupervised Learning
- Clustering Techniques
- Association Rule Mining
- Dimensionality Reduction
- Practical session: Applying Clustering to a Dataset
Module 6: Advanced Data Mining Techniques
- Ensemble Methods
- Time Series Analysis
- Anomaly Detection
- Text Mining
- Practical session: Implementing an Advanced Data Mining Technique
Module 7: Python Libraries for Data Mining
- Introduction to Pandas
- Using NumPy for Data Manipulation
- Scikit-learn for Machine Learning
- Matplotlib and Seaborn for Visualization
- Practical session: Hands-on with Python Libraries
Module 8: Model Evaluation and Validation
- Performance Metrics
- Cross-Validation Techniques
- Hyperparameter Tuning
- Model Deployment
- Practical session: Evaluating and Tuning a Model
Module 9: Data Visualization Techniques
- Principles of Data Visualization
- Creating Plots with Matplotlib
- Using Seaborn for Statistical Graphics
- Interactive Visualizations with Plotly
- Practical session: Creating an Interactive Data Visualization
Module 10: Real-World Data Mining Applications
- Case Studies of Data Mining Projects
- Lessons Learned from Industry Applications
- Applying Techniques to Your Own Projects
- Final Project Presentation
- Practical session: Developing and Presenting a Real-World Data Mining Project
Trainers Experience
Our trainers are seasoned experts with extensive experience in data mining and Python programming. They have worked on numerous high-profile projects globally and bring a wealth of practical knowledge to the training.
Quality statement
We are committed to delivering high-quality training that meets the needs of our participants. Our courses are designed to be engaging, practical, and up-to-date with the latest industry standards.
Tailor made courses
We offer tailor-made courses to meet the specific needs of your organization. Whether you require on-site training or customized content, we can design a course that suits your requirements.
Payment
Payment is required a week before the training starts.
Accommodation and airport pick-up
We provide assistance with accommodation arrangements and airport pick-up for participants traveling from outside the city. Please contact us for more details.
