
Learn Pandas in Python for data manipulation, including reading files, filtering, combining data, plotting, and summary statistics.

Build a production data lakehouse on Azure Databricks with PySpark, Delta Lake, and Medallion Architecture, using zero cost strategies.

Master Google BigQuery theoretical concepts including architecture, performance optimization, security, and BigQuery ML for data engineering.

Prepare financial data for machine learning and backtesting without code, including returns, time sequences, correlation, and technical indicators.
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Learn Snowflake fundamentals and key differentiators in under an hour with this theory only course for busy professionals.

Explore cloud computing careers with AWS, understand certification tracks, and discover how to start your journey in the dominant cloud platform.

Learn SQL and MySQL database basics including creating tables, reading, inserting, updating, and deleting data, no prior experience required.

Explore data science with Python and R including NumPy, Pandas, Matplotlib, Seaborn, and machine learning fundamentals.

Learn Docker fundamentals in under 2 hours including installation, containers, images, port publishing, and restart policies for DevOps.

Configure AWS core services including EC2, S3, RDS, and Route53 with this practical, beginner friendly introduction to cloud computing.

Understand cloud computing fundamentals with real world examples, cutting through buzzwords to answer "What is the cloud?"

Pass the AWS Certified AI Practitioner exam with hands on training on SageMaker, Rekognition, and Comprehend, plus security and responsible