What does the Cross-Industry Standard Process for Data Mining (CRISP-DM) course cover?
Cross-Industry Standard Process for Data Mining (CRISP-DM) is covered here in 10 modules: Introduction to CRISP-DM: History and evolution of CRISP-DM, Business Understanding: Developing a report, Conducting a business analysis, Data Understanding: Developing a report, Data collection and data quality and 7 more.
How do you approach Cross-Industry Standard Process for Data Mining (CRISP-DM) step by step?
The work is sequenced in 10 stages. It starts with Introduction to CRISP-DM: History and evolution of CRISP-DM, moves through Business Understanding: Developing a report, Conducting a business analysis and Data Understanding: Developing a report, Data collection and data quality, and ends at Final Project and Assessment: Course wrap-up and Q&A, Final assessment and evaluation.
What is in Module 1 of the Cross-Industry Standard Process for Data Mining (CRISP-DM) course?
Module 1 is Introduction to CRISP-DM: History and evolution of CRISP-DM. It works through Overview of the CRISP-DM methodology, History and evolution of CRISP-DM, key benefits and applications of CRISP-DM and 1 more. It sets the vocabulary the remaining 9 modules build on.
How is the Cross-Industry Standard Process for Data Mining (CRISP-DM) course delivered?
The Cross-Industry Standard Process for Data Mining (CRISP-DM) course is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. It can be taken on any device, and a certificate of completion is issued by The Art of Service when you finish.
How much does the Cross-Industry Standard Process for Data Mining (CRISP-DM) course cost?
The Cross-Industry Standard Process for Data Mining (CRISP-DM) course is $199 as a one time payment. There is no subscription, no per seat licence and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.
Closely related courses: CRISP-DM Data Mining and Business Analytics Methodology, Pattern Mining in Data mining, Data mining in Data mining, Web Mining in Data mining.
More answers: what you get with every course, refund policy, all help answers.
Mastering Cross-Industry Standard Process for Data Mining (CRISP-DM): A Step-by-Step Guide
Course Overview
This comprehensive course is designed to equip participants with a thorough understanding of the Cross-Industry Standard Process for Data Mining (CRISP-DM) methodology. CRISP-DM is a widely adopted framework for data mining projects, providing a structured approach to data analysis and decision-making. Upon completion of this course, participants will receive a certificate issued by The Art of Service.Course Features
- Interactive and engaging learning experience
- Comprehensive and up-to-date content
- Personalized learning approach
- Practical, real-world applications
- High-quality content developed by expert instructors
- Certificate of Completion issued by The Art of Service
- Flexible learning schedule
- User-friendly and mobile-accessible platform
- Community-driven learning environment
- Actionable insights and hands-on projects
- Bite-sized lessons for easy learning
- Lifetime access to course materials
- Gamification and progress tracking features
Course Outline
Module 1. Introduction to CRISP-DM: History and evolution of CRISP-DM
- Overview of the CRISP-DM methodology
- History and evolution of CRISP-DM
- Key benefits and applications of CRISP-DM
- CRISP-DM and data mining: an overview
Module 2. Business Understanding: Developing a report, Conducting a business analysis
- Defining business objectives and goals
- Identifying key performance indicators (KPIs)
- Conducting a business analysis
- Developing a business understanding report
Module 3. Data Understanding: Developing a report, Data collection and data quality
- Data collection and data quality
- Data preprocessing and data transformation
- Data visualization and data exploration
- Developing a data understanding report
Module 4. Data Preparation: Developing a report, Data quality and data integrity
- Data cleaning and data preprocessing
- Data transformation and data aggregation
- Data quality and data integrity
- Developing a data preparation report
Module 5. Modeling: Developing a report, Introduction to data: Supervised and unsupervised learning
- Introduction to data modeling
- Supervised and unsupervised learning
- Model evaluation and model selection
- Developing a modeling report
Module 6. Evaluation: Developing an report, Evaluating model performance
- Evaluating model performance
- Assessing model accuracy and model reliability
- Conducting a cost-benefit analysis
- Developing an evaluation report
Module 7. Deployment: Developing a report, Evaluating the effectiveness of the
- Deploying the model in a production environment
- Monitoring and maintaining the model
- Evaluating the effectiveness of the deployment
- Developing a deployment report
Module 8. Case Studies and Real-World Applications: Group discussion and Q&A
- Real-world examples of CRISP-DM in action
- Case studies of successful CRISP-DM implementations
- Lessons learned and best practices
- Group discussion and Q&A
Module 9. Advanced Topics in CRISP-DM: Advanced data mining techniques
- Advanced data mining techniques
- Text mining and sentiment analysis
- Predictive analytics and forecasting
- Emerging trends and future directions in CRISP-DM
Module 10. Final Project and Assessment: Course wrap-up and Q&A, Final assessment and evaluation
- Guided final project: applying CRISP-DM to a real-world problem
- Final assessment and evaluation
- Course wrap-up and Q&A
- Certificate of Completion issued by The Art of Service