Course Outline
Introduction to Data Science for Government
- What is Data Science?
- The Data Science Process
- Data Science Tools and Techniques
- Microsoft Azure Machine Learning
Preparing Data for Government Applications
- Data Sources and Types
- Data Cleaning and Transformation
- Feature Engineering
Building and Training Models for Government Use Cases
- Supervised Learning
- Unsupervised Learning
- Model Selection and Evaluation
- Interpreting Model Outputs
Deploying Models for Government Operations
- Deploying Models to Azure
- Scalability and Performance
- Managing Deployed Models
Evaluating Model Performance for Government Standards
- Model Evaluation Metrics
- Tuning Model Performance
- Managing Model Versions
Summary and Exam Preparation for Government Professionals
- Review of Key Concepts
- Exam Preparation Tips and Strategies
- Hands-on Practice Exam
Requirements
- A foundational understanding of machine learning concepts and practical experience in data analytics are required.
- Familiarity with basic programming and data manipulation is also recommended for government professionals.
Audience
- Data scientists
- Data analysts
- Individuals interested in learning about machine learning and preparing for the DP-100 exam
Testimonials (3)
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
All the topics which he covered including examples. And also explained how they are helpful in our daily job.
madduri madduri - Boskalis Singapore Pte Ltd
Course - QGIS for Geographic Information System
The thing I liked the most about the training was the organization and the location
