Data Engineering & Analytics

Showing 1–30 of 148 courses

• Updated 1mo ago

  MySQL Uncovered: Internals, Trace Analysis, and Performance

  Practical course on the internal workings of MySQL, trace analysis, and query optimization to enhance system performance and stability
• Updated 1mo ago

  Fundamentals of Apache Flink

  The Apache Flink course helps master stream data processing, deploy and optimize real-time pipelines for professional projects.

  2h 12m
• Updated 2mo ago

  The Excel Bootcamp: Zero to Mastery

  The only bootcamp you need to become an Excel wizard. Learn Excel Formulas and Functions, Data Visualization, Pivot Tables, VBA Macros, and much more. Start or

  22h 32m
• FreeUpdated 4mo ago

  Introduction to Regression Analysis

  Learn core regression models and use them in Python. You study linear, logistic, log, and Cox models with clear steps and real data.

  6h 20m
• Updated 4mo ago

  Introduction to Inferential Statistics

  You learn core inferential stats like intervals, tests, ANOVA, and run them in Python. The course shows how to read messy data and make clear data decisions.

  9h 25m
• Updated

  Relational Databases

  Build a basic relational database engine yourself in this hands-on CS Primer course covering core DBMS design and queries.

  18h 30m3/5
• Updated 6mo ago

  PostgreSQL Uncovered: Internals, Trace Analysis, and Performance

  Study the internal architecture and optimization of PostgreSQL. Focus on performance, tracing, indexes, and other key database mechanisms.
• Updated 6mo ago

  MySQL for Developers

  Study effective schema design, indexing, and query optimization in MySQL. The course is suitable for application developers of varying skill levels.

  7h 41m
• Updated 6mo ago

  Explore MySQL: A Beginner’s Journey into Database Internals – Premium Edition

  Start learning MySQL with basic SQL queries and delve into indexes, caching, transactions, and performance analysis with MySQL Trace Tool.
• Updated 7mo ago

  The Data Engineering Bootcamp: Zero to Mastery

  Learn to build streaming pipelines with Apache Kafka and Flink, create data lakes on AWS, run ML workflows on Spark, and integrate LLM models.

  16h 46m
• Updated 7mo ago

  Backend Master Class [Golang + PostgreSQL + Kubernetes]

  This course is designed with a lot of details, so that everyone, even with very little programming experience can understand and do it by themselves. I strongly

  18h 51m
• Updated 7mo ago

  Fundamentals of Apache Spark and PySpark

  Study Apache Spark and PySpark for big data processing. Practical assignments will help you acquire key skills of a data engineer.

  2h 20m
• Updated 10mo ago

  Grokking SQL for Tech Interviews

  This course is designed for developers, database engineers, data specialists, and ML engineers preparing for SQL interviews.
• Updated

  Analytics Engineering for Data Professionals

  Learn analytics engineering hands-on: build a Snowflake warehouse, load data with Fivetran, transform it with DBT, and visualize it.

  12h 46m
• Updated

  Semantic Log Indexing & Search

  Build a real semantic search pipeline for logs: FastAPI, embeddings stored in qdrant, a Streamlit UI, and a DuckDB comparison.

  53m
• Updated

  Apache Iceberg Fundamentals

  Learn Apache Iceberg hands-on: schema evolution, time travel, and a real local Lakehouse lab with Docker, Spark, and MinIO.

  33m
• Updated

  Fundamentals of Apache Airflow

  Learn Apache Airflow from architecture to advanced orchestration: retries, failure handling, sensors, and Spark integration.

  2h 21m
• Updated

  Fundamentals of Apache Kafka

  Learn Apache Kafka from scratch: architecture, producers and consumers, delivery guarantees, Connect, and Schema Registry.

  2h 33m5/5
• FreeUpdated

  Machine Learning with Spark ML

  Free course on scaling machine learning with Spark ML: regression, classification, feature engineering, and hyperparameter tuning.

  2h 7m
• Updated 11mo ago

  Ludicrous Speed Postgres

  Unlock the potential of your PostgreSQL setup with our comprehensive course designed for performance optimization .

  12h 27m5/5
• Updated 1y ago

  DBMS

  This course is dedicated to the study of Database Management Systems (DBMS) - technologies that allow for efficient storage, processing, and protection of data.

  21h 30m5/5
• Updated

  Azure Data Pipelines with Terraform

  Build a real Azure ETL pipeline with Terraform: Data Factory, Synapse Analytics, Power BI, and a Medallion Lakehouse architecture.

  4h 20m
• Updated 1y ago

  Database Mastery: SQL to Prisma

  Master key technologies with a practical approach! You will gain applied knowledge, clear explanations.

  16m
• Updated 1y ago

  ChatGPT for Excel

  Imagine you have an AI assistant ready to solve any task in Excel. This course will show you how to unlock the full potential of ChatGPT even with basic.

  3h 23m
• Updated 1y ago

  Machine Learning & Containers on AWS

  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

  1h 33m5/5
• Updated 1y ago

  Storing & Visualizing Time Series Data

  Enhance your skills in managing time series data with this comprehensive course.

  2h 11m5/5
• Updated

  Contact Tracing with Elasticsearch

  Simulate 100,000 users and a million check-ins, then trace movement patterns using Elasticsearch, Kibana, and a Streamlit map UI.

  1h 37m
• Updated 1y ago

  Data Engineering with Hadoop

  Big Data is not just a buzzword, but a real phenomenon. Every day, companies around the world collect and process vast amounts of data at high speeds.

  7h 3m
• Updated

  Dockerized ETL With AWS, TDengine & Grafana

  Build a Dockerized ETL pipeline on AWS: pull live weather data into TDengine and visualize it with Grafana, step by step.

  29m
• Updated

  Streaming with Kafka & Spark

  Build a real-time invoice streaming pipeline with Kafka, Spark, and MongoDB, visualized through a live Streamlit dashboard.

  2h 46m