Duration
Data Warehouse and Data Mining
2 day
What you'll learn
- Be introduced to data mining, its advantages and disadvantages.
- Be aware of the importance of visualizing data.
- Know the usefulness of data mining in different businesses.
- Look forward to applying data mining to their businesses.
- Data warehouse and its advantage
- Python for data mining
Course content
Introduction to Knowledge Discovery in Databases
- Introduction and Objectives
- Definition of Knowledge Discovery in Databases
- Techniques in Knowledge Discovery in Databases
- Process in Knowledge Discovery in Databases Introduction to Data Mining
- Definition of Data Mining
- Styles of Learning
- Advantages in Data Mining
- Disadvantages in Data Mining
- Data
- Information and Knowledge
- Data Warehouses
- Decision Tree Learning Minable Data
- Types of Data Studied in Data Mining
- Minable Information
Visualizing Data Patterns
- Introduction to Visualizing Data Patterns
- Orienteering
- Why Visualize?
- Trusting a Model
- Understanding a Model Data Mining Process
- What Can Data Mining Do?
- Types of Data Sets
- Data Mining Process
- Process Flow Data Mining Tools
- Introduction to Tools
- Data Mining Tools
- Data Mining Techniques Usefulness and Future of Data Mining
- Usefulness of Data Mining
- Basket Analysis
- Sales Forecasting
- Database Marketing
- Merchandise Planning
- Card Marketing
- Call Detail Record Analysis
- Customer Loyalty
- Marketing Segmentation
- Product Production
- Future of Data Mining
Programme scope, delivery arrangements and suitability are confirmed during enquiry.