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Overview
The SnowPro Advanced: Data Scientist certification validates your expertise in leveraging Snowflake’s Data Cloud to drive data-driven insights and solutions. This advanced certification is designed for professionals who specialize in data science workflows, predictive modeling, machine learning integration, and deploying analytics solutions at scale. With a focus on hands-on skills, this course ensures you’re prepared to tackle real-world challenges in data science.
Objectives
By the end of this course, participants will be able to:
Prerequisites
- Strong understanding of data science principles and methodologies.
- Familiarity with Python, SQL, or R programming.
- Basic knowledge of Snowflake’s architecture and functionalities.
- Experience in machine learning workflows is recommended.
Course Outline
Module 1: Introduction to Snowflake for Data Sciencekeerti2025-01-08T17:55:54+05:30
- Overview of Snowflake’s Data Cloud
- Key features for data scientists
- Setting up and navigating Snowflake
Module 2: Data Preparation and Transformationkeerti2025-01-08T17:56:32+05:30
- Importing and cleansing data
- Advanced transformations using SQL and Python
- Optimizing data for machine learning models
Module 3: Predictive Analytics and Machine Learningkeerti2025-01-08T17:57:13+05:30
- Building predictive models using Snowflake
- Integrating with ML libraries like TensorFlow and scikit-learn
- Deploying machine learning workflows at scale
Module 4: Advanced Data Science Use Caseskeerti2025-01-08T17:57:55+05:30
- Time series forecasting
- Real-time analytics
- Sentiment analysis with Snowflake
Module 5: Performance Optimization and Securitykeerti2025-01-08T17:58:36+05:30
- Best practices for query optimization
- Ensuring data security and compliance
- Monitoring and managing workflows
Module 6: Certification Preparationkeerti2025-01-08T17:59:21+05:30
- Exam structure and key topics
- Practice questions and review sessions
- Tips for success in the certification exam
