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Course Outline
Introduction to Data Science for Government
- What is Data Science?
- The Data Science Process for Government
- Data Science Tools and Techniques for Government
- Microsoft Azure Machine Learning for Government
Preparing Data for Government
- Data Sources and Types for Government
- Data Cleaning and Transformation for Government
- Feature Engineering for Government
Building and Training Models for Government
- Supervised Learning for Government
- Unsupervised Learning for Government
- Model Selection and Evaluation for Government
- Interpreting Model Outputs for Government
Deploying Models for Government
- Deploying Models to Azure for Government
- Scalability and Performance for Government
- Managing Deployed Models for Government
Evaluating Model Performance for Government
- Model Evaluation Metrics for Government
- Tuning Model Performance for Government
- Managing Model Versions for Government
Summary and Exam Preparation for Government
- Review of Key Concepts for Government
- Exam Preparation Tips and Strategies for Government
- Hands-on Practice Exam for Government
Requirements
- A solid grasp of machine learning principles and practical experience in data analytics is essential.
- Familiarity with basic programming and data manipulation techniques is also advised.
Audience
- Data scientists
- Data analysts
- Individuals seeking to gain knowledge in machine learning and prepare for the DP-100 exam, which is designed for government and private sector professionals.
21 Hours
Testimonials (2)
Hands-on examples allowed us to get an actual feel for how the program works. Good explanations and integration of theoretical concepts and how they relate to practical applications.
Ian - Archeoworks Inc.
Course - ArcGIS Fundamentals
The thing I liked the most about the training was the organization and the location
