Course Outline
Introduction to Data Science
- Defining Data Science
- Overview of the Data Science Lifecycle
- Essential Tools and Methodologies
- Microsoft Azure Machine Learning Platform
Data Preparation
- Identifying Data Sources and Classifications
- Processes for Cleaning and Transforming Data
- Techniques for Feature Engineering
Model Construction and Training
- Principles of Supervised Learning
- Principles of Unsupervised Learning
- Strategies for Model Selection and Assessment
- Analyzing and Interpreting Model Results
Model Deployment
- Deploying Models on Azure Infrastructure
- Ensuring Scalability and Optimizing Performance
- Operations for Managing Deployed Models
Assessing Model Performance
- Standard Metrics for Model Evaluation
- Methods for Tuning Model Efficiency
- Best Practices for Version Control
Conclusion and Exam Readiness
- Recap of Core Concepts
- Strategic Advice for Exam Success
- Simulated Practice Examination
Requirements
- Foundational knowledge of machine learning principles and practical experience in data analytics.
- Proficiency in basic programming and data manipulation techniques is highly recommended.
Target Audience
- Data scientists
- Data analysts
- Professionals seeking to acquire machine learning skills and prepare for the DP-100 examination.
Custom Corporate Training
Training solutions designed exclusively for businesses.
- Customized Content: We adapt the syllabus and practical exercises to the real goals and needs of your project.
- Flexible Schedule: Dates and times adapted to your team's agenda.
- Format: Online (live), In-company (at your offices), or Hybrid.
Price per private group, online live training, starting from 4800 € + VAT*
Contact us for an exact quote and to hear our latest promotions
Testimonials (3)
Learning that the QGIS and a tool that can used by other different professionals such land survey
Bame Duncan Koko - Bentel Technologies (Pty) Ltd
Course - QGIS for Geographic Information System
How to use open satellites data for real applications
Tshering Dorji - Druk Holding and Investments
Course - Advanced Geographic Information Systems (GIS)
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.
