Data Protection Courses

DataGalaxy

The Data Engineering Lifecycle - Understanding Data Processing and Management

Discover a technology-agnostic approach to data engineering, exploring practical mental models and essential undercurrents for effectively managing data workflows in your career.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

DataGalaxy

Cross-Platform Data Lineage with OpenLineage - Tracing Data Across Apache Spark and Airflow

Discover how OpenLineage enables cross-platform data tracing, focusing on Apache Spark and Airflow integration. Learn architecture fundamentals and see real-time pipeline monitoring through practical demonstrations.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

DataGalaxy

Next Generation Data Products Build on Databricks Lakehouse - Delta Live Tables and SQL Warehousing

Discover how to build reliable batch and streaming data pipelines using Delta Live Tables and Databricks SQL, focusing on simplified ETL development, automated testing, and scalable data warehouse operations.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

DataGalaxy

Getting Started with Redpanda Streaming Data Platform

Dive into Redpanda's streaming data platform architecture, installation methods, deployment strategies, and practical use cases for building efficient data streaming solutions.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

DataGalaxy

The Future of Data Integration - Harnessing Airbyte's Custom Connector

Discover how to build custom data connectors with Airbyte's CDK, from setting up standard connections to creating bespoke API connectors for enhanced data integration workflows.

• YouTube
• 41 minutes
• Self-Paced
• Free Video

DataGalaxy

Modern Data Cataloging in 2023 and Beyond

Discover modern data cataloging trends and best practices through DataGalaxy's vision, exploring innovative approaches for effective data management and organization in today's evolving landscape.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

PyCon Israel

Securing Application Logs: Protecting Sensitive Data in Python

Discover essential logging security practices and Python solutions to protect sensitive data, transitioning from development to security-focused programming while preventing common exposure risks.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

PyCon Israel

Let JSON Schema and Pydantic Write Your Data Models

Master data validation in Python using Pydantic and JSON Schema to automate data structure creation, serialization, and validation for more efficient and error-free development.

• YouTube
• 21 minutes
• Self-Paced
• Free Video

PyCon Israel

Clean Code for Data Scientists - Writing Maintainable Python Code

Discover essential clean code principles for data science, focusing on Python best practices, maintainable code patterns, and efficient debugging techniques adapted from Robert C. Martin's concepts.

• YouTube
• 28 minutes
• Self-Paced
• Free Video

PyCon Israel

Missing Data Patterns and Handling Techniques in Python Data Analysis

Discover effective strategies for handling missing data patterns using Python tools like pandas and missingno, with practical techniques for data visualization and exploration.

• YouTube
• 17 minutes
• Self-Paced
• Free Video

R Programming 101

Data Manipulation and Cleaning in R with dplyr - A Beginner's Guide

Master essential data manipulation techniques using dplyr functions like select, filter, mutate, group_by and summarise to efficiently clean and transform your datasets in R programming.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

R Programming 101

Themes in ggplot2 - Making Your Data Visualizations Stand Out

Master the art of customizing ggplot2 themes in R, from applying preset styles to fine-tuning every visual element for creating stunning and professional data visualizations.

• YouTube
• 19 minutes
• Self-Paced
• Free Video

R Programming 101

Handling Missing Data and Missing Values in R Programming - NA Values, Imputation, and naniar Package

Discover effective techniques for handling missing data in R through NA value management, imputation methods, and visualization using the naniar package for accurate data analysis.

• YouTube
• 16 minutes
• Self-Paced
• Free Video

R Programming 101

Multiple Regression - Dealing with Outliers and Collinearity in Data Analysis

Master statistical analysis techniques for handling outliers and collinearity in multiple regression, including identification methods and decision-making for model optimization.

• YouTube
• 13 minutes
• Self-Paced
• Free Video

R Programming 101

Manipulating Date and Time Data in R with Lubridate

Master date and time manipulation in R using lubridate package, featuring intuitive functions for parsing, extracting, and working with temporal data in the tidyverse ecosystem.

• YouTube
• 18 minutes
• Self-Paced
• Free Video