Data engineering courses
About Data engineering
Data engineering is all about creating and maintaining the underlying systems that collect and report data. Without data engineering, the data that’s collected would be inconsistent and the information it tell us wouldn’t be particularly useful.
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Data engineering courses
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- Prepare for the AWS Data Engineer Associate (DEA-C01) exam. Learn to build data pipelines, transform data, create models and manage data lifecycles on AWS.
- Includes 20 Courses
- Intermediate.23 hours
- Learn Data Analytics with Snowflake covering setup, query execution, data loading, cloud integration, performance optimization and security management.
- Includes 47 Courses
- With Certificate
- Intermediate.26 hours
- Learn how to query SQL databases and design relational databases to efficiently store large quantities of data.
- Includes 5 Courses
- With Certificate
- Beginner Friendly.13 hours
- Study for Google Professional Data Engineer certification exam covering data pipelines, big data processing, GCP storage, analysis and machine learning tools.
- Includes 15 Courses
- Intermediate.20 hours
- Learn Tableau Prep Builder covering data preparation, ETL operations, flow management, advanced transformations and cloud integration for dashboard creation.
- Includes 26 Courses
- With Certificate
- Intermediate.7 hours
- Learn the basics of Python 3.12, one of the most powerful, versatile, and in-demand programming languages today.
- With Certificate
- Beginner Friendly.24 hours
- Study for DP-100 Designing and Implementing a Data Science Solution on Azure certification exam covering machine learning models and data analytics.
- Includes 20 Courses
- Intermediate.22 hours
- In this SQL course, you'll learn how to manage large datasets and analyze real data using the standard data management language.
- Beginner Friendly.5 hours
- Study for DP-600 Implementing Analytics Solutions Using Microsoft Fabric certification exam covering data ingestion, transformation, modeling and visualization.
- Includes 37 Courses
- Intermediate.29 hours
- Data Scientists often work with engineering teams. Learn the software engineering skills you need to bridge the gap between data science and
- Includes 7 Courses
- With Certificate
- Intermediate.22 hours
- Study for the DP-900 Microsoft Azure data fundamentals certification exam covering cloud data services, analytics solutions, business intelligence and core data concepts.
- Includes 24 Courses
- Beginner Friendly.23 hours
- See how big data is used across different industries and learn how to work with big data using PySpark!
- Beginner Friendly.4 hours
- Learn Advanced Snowflake covering data transformation, performance optimization, Snowpark implementation, machine learning techniques and data governance strategies.
- Includes 41 Courses
- With Certificate
- Advanced.42 hours
Related resources
Related projects
- Portfolio projectData engineering
Subscriber Cancellations Data Pipeline
Create a data pipeline for updating an online subscription service’s canceled subscriber database.Independent,Portfolio Ready - Practice projectPython • Data science • Data engineering
Analyze Common Crawl Data with PySpark
Analyze website domain data using DataFrames, SQL, and RDDs with the big data tool PySpark.More guidance, - Practice projectPython • SQL • Data science • Data engineering
Analyzing Wikipedia Clickstreams with PySpark
Use PySpark SQL and DataFrames to analyze Wikipedia clickstream dataMore guidance,
Related articles
- Article
Big Data Storage and Computing
Learn about the challenges of storing and analyzing big data - Article
Install Pyspark Off-Platform
Install PySpark on your computer so you can analyze big data off-platform - Article
What is Big Data?
Learn about applications of big data and how we can describe it with the 3 Vs