Data processing and analysis

Master semantic search with our course on generative AI. Learn to build a complete pipeline using FastAPI, qdrant, and Streamlit for advanced data processing

Modern data platforms need the flexibility of data lakes and the reliability of warehouses. Apache Iceberg combines both approaches. In this course, you will...

In this practical course, you will learn how to build a complete data pipeline on the AWS platform - from obtaining data from the Twitter API to analysis, stora

Data engineers often need to quickly set up a simple ETL script that just does its job. In this project, you will learn how to easily implement...

Microsoft Azure is a cloud platform offering more than 200 products and services for data storage, management, virtual machine deployment, and...

Google Cloud Platform (GCP) is one of the most popular cloud platforms in the world, providing an extensive set of tools and services for building...

As a data engineer, you will regularly work with analytics platforms where companies store data in Data Lakes and Data Warehouses for building...

dbt (data build tool) is a data transformation tool with a priority on SQL. It allows for simple and transparent transformation, testing, and documentation...

In this course, you will acquire the basic knowledge necessary for confidently starting to work with Apache Kafka. You will learn how to set up a message...

Learn Databricks for data processing using Apache Spark. This course covers setup on AWS, ETL processes, data visualization, and BI tools integration.

After building data pipelines, data processing is one of the most important tasks in Data Engineering. As a data engineer, you constantly encounter...

One of the key tasks when creating a data platform and pipelines is the selection of appropriate data storage systems. This course is dedicated to that topic.

In today's world, where data plays a key role, effective organization of information is the foundation for quality analytics and report building.

Apache Airflow is a platform-independent tool for workflow orchestration that provides extensive capabilities for creating and...

API is the foundation of any modern data platform. You either provide an API for clients or use external APIs yourself. In any case, it's important to be...

A reliable security concept for platforms and pipelines is critically important. Almost anyone can put together a Proof of Concept without an adequate level...

Relational modeling is widely used in building transactional databases. You might say, "But I'm not planning to become a backend engineer."

Data pipelines are a key component of any Data Science platform. Without them, data loading and machine learning model deployment would not be possible. This...

This introductory course will help you better understand what data engineering is and what role a data engineer plays in the field of Data Science. To begin...

Data engineering is not just about moving information from one place to another. It is about creating reliable, scalable, and efficient systems that...

Examples from practice in A/B testing - this course will introduce you to the methods of designing, conducting, and analyzing experiments using A/B...

This is a course that offers unique opportunities for students seeking to master key aspects of data analysis in product development. The course...

Companies of all sizes have access to enormous amounts of data, but the problem is that the data is often unstructured. In order to answer important...