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The Modeling Life Cycle for Data Scientists
CDS : CDS31
This course gives an overview of the statistical methods used by data scientists, with an emphasis on the applicability to business problems. Attendees do not need access to software for this course, and the mathematical details are kept to a minimum.
Learn How To
- Identify the need for feature engineering such as sampling, variable transformations, imputation, and variable selection.
- Describe applications of supervised models such as decision trees, neural networks, support vector machines, factorization machines, and logistic regression.
- Describe the usefulness of unsupervised models such as clustering, text mining, network analysis, and path analysis.
- Implement model assessment and deployment such as visualization and monitoring.
- Describe the AI lIfe cycle and landscape.
Who Should Attend
Business analysts who want an overview of the types of methods used in data science
Prerequisites
Before attending this course, you should have some exposure to model building and quantitative analyses.
Course Outline
Introduction to Data Science
- Introductory concepts.
- Analytical life cycle.
- Analytical challenges to predictive modeling.
- Feature engineering.
- Introduction to supervised machine learning models.
- Regression.
- Decision trees.
- Neural networks.
- Support vector machines.
- Factorization machines.
- Ensemble models.
- Two-stage models.
- Introduction to unsupervised models.
- Hierarchical clustering.
- K-means clustering.
- Self-organizing maps.
- Market basket analysis.
- Path analysis.
- Network analysis.
- Text analytics.
- Introduction to model assessment, model ops, and special topics.
Live Class Schedule
Duration: 7 hours
Step into our live classes and experience a dynamic learning environment where you can ask questions, share ideas, and connect with your instructor and classmates. With on-demand lab hours, you can explore the material at your own pace. Our globally acclaimed instructors will motivate you to think bigger, so you can take what you've learned and achieve your biggest goals.
Live Class Schedule
SOLD SEPARATELY
Private Training
Get training tailored specifically for your team, led by expert SAS instructors. Choose from virtual sessions, or training at your location (or ours). Perfect for teams seeking a customized curriculum and plenty of interaction with a SAS specialist. We'll schedule it at a time that works for you.
Mentoring Services
Take your training to the next level with personalized mentoring. While private training offers structured coursework, mentoring provides hands-on, real-time support from a subject matter expert. As you work with your own data, you'll receive expert guidance to help you uncover insights, unlock the full potential of your data, and make faster progress. Perfect for those looking to apply what they’ve learned and see quicker results.