Data Engineering
Showing 157–168 of 758 results
Data Modeling for Data Engineers
Designing an efficient data model is a mastery on its own. This course will teach you how to create and implement optimal, high-performing data models for different workloads.
Data Pipelines with Azure
Build scalable data pipelines using Microsoft Azure tools.
Data Preparation and Modeling
Learn how to prepare and model data for analysis and visualization.
Data Preparation for Analysis with Alteryx
Alteryx is a powerful tool to access your data and prepare it for analysis. This course will introduce you to common functions in Alteryx that will help you to cleanse your data to enhance its effectiveness for further analysis.
Data Privacy
Understand data privacy principles and laws to protect sensitive information.
Data Privacy and Anonymization in Python
Learn to process sensitive information with privacy-preserving techniques.
Data Science in Production: Building Scalable Model Pipelines
Learn how to build scalable model pipelines for data science in production environments, focusing on best practices for deployment and management.
Data Scientist Interview Preparation
Prepare for the data science interview process, from navigating job postings to passing the technical interview.
Data Scientist: Analytics Specialist
Data Analysts and Analytics Data Scientists use Python and SQL to query, analyze, and visualize data — and communicate findings.
Data Scientist: Inference Specialist
Inference Data Scientists run A/B tests, do root-cause analysis, and conduct experiments. They use Python, SQL, and R to analyze data.
Data Streaming
Study techniques for real-time data processing and stream analytics.
Data Wrangling with MongoDB
Learn data wrangling techniques using MongoDB for effective data manipulation and preparation.