31 May 2026
Core Machine Learning Algorithms
Understand the math and logic behind regression, classification, ensemble methods, clustering, and SVMs.
31 May 2026
Data Handling with Python: NumPy, Pandas, Matplotlib, Seaborn
A practical guide to data preprocessing and cleaning using NumPy, Pandas, Matplotlib, and Seaborn.
31 May 2026
Data Mesh: Decentralized Data Architecture
A practical overview of Data Mesh architecture, its four principles, and how it changes the way organizations manage analytical data.
31 May 2026
Database vs Data Warehouse vs Data Lakehouse
A clear comparison of databases, data warehouses, data lakes, and data lakehouses — when to use each one.
31 May 2026
Data Literacy: Dimensions, Measures, and Information Marts
Key data literacy concepts every data professional should know — dimensions vs measures, information marts, and data modeling vocabulary.
31 May 2026
Database Design and Data Modeling
Normalized vs denormalized schemas, relational modeling, and when to use each approach.
31 May 2026
Deep Learning: CNNs, RNNs, and Transfer Learning
How to build neural networks with PyTorch, understand backpropagation, and use transfer learning for practical results.
31 May 2026
Denodo: Data Virtualization Platform
An overview of Denodo — the data virtualization platform that provides a unified view of data without moving it.
31 May 2026
dbt: Data Build Tool
An overview of dbt — the tool that brings software engineering best practices to data transformations in your warehouse.
31 May 2026
Distributed Processing
Key concepts of distributed systems, how data is processed across multiple machines, and common patterns.
31 May 2026
Pharma GxP and SOX Compliance
An overview of GxP regulations in pharmaceuticals and SOX compliance — what they mean for data and software engineering.
31 May 2026
Reinforcement Learning: Reward-Based Learning
Understand reward-based learning methods, Q-tables, and Markov decision processes.
31 May 2026
Snowflake: Cloud Data Platform
An overview of Snowflake — its architecture, Snowpipe, Snowpark, and key features for modern data engineering.
31 May 2026
Spark vs Hadoop vs Kafka
A practical comparison of Apache Spark, Hadoop, and Kafka — what each one does and when to use it.