Top Data Engineering courses for mastering skills

Preparation course for Databricks Data Engineer Associate certification exam with hands-on training

Build Data Engineering Pipelines using Databricks core features such as Spark, Delta Lake, cloudFiles, etc.

Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.

Prepare for a career in the high-growth field of data engineering. In this program, you’ll learn in-demand skills like Python, SQL, and Databases to get job-ready in less than 5 months.
Data engineering is building systems to gather data, process and organize raw data into usable information,…

Build Data Engineering Pipelines on AWS using Data Analytics Services - Glue, EMR, Athena, Kinesis, Lambda, Redshift

Data engineering has seen explosive growth recently as more industries depend on data to drive key business decisions. Take advantage of the surge in demand by becoming a data engineer with Dataquest.

This Advanced Professional Certificate will equip learners with the following competencies:
Learn to be proficient in the use of databases for managing large datasets that organizations will experience in today’s digital age.
Learn the foundations of data engineering ecosystem and lifecycl…

Learn how data can be integrated : following which principles and for what business outcomes

AWS Certified Data Engineer - Associate validates skills and knowledge in core data-related AWS services, ability to implement data pipelines, monitor and troubleshoot issues, and optimize cost and performance in accordance with best practices. If you are interested in using AWS technology to tr…

The need for data analysis skills grew by 86% from 2013 to 2018. 1 Become data-driven with Google Cloud. Leverage data and gain real-time insights that improve your decision-making and accelerate innovation. Learn how to design and build data processing systems.

Simplilearn's Data Engineering post-graduate program, in partnership with Purdue University & IBM, is the ideal program for professional exposure. Aligned with AWS and Azure certifications, this applied learning program will help all master crucial Data Engineering skills.

This program is designed to give you the skills you need to start or continue your career in data engineering. High-level learning outcomes for this program include:
Develop and analyze databases using data science and data engineering tools and skills, including SQL and Python
Configure a…

Build the Foundation for a Data Engineering Career. Develop hands-on experience with Python, SQL, and Relational Databases and master the fundamentals of the Data Engineering ecosystem.

This Data Engineering course is ideal for professionals and equips you with Python, SQL, NoSQL, Big Data, Snowflake, AWS, Azure & GCP fundamentals. Prepare for in-demand certifications (AWS, Azure & Snowflake) and build your portfolio using the Capstone pr…

Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database

Get all the skills and knowledge you need to become a data engineer. You’ll learn how to work with data architecture, data processing, and data systems. By the end, you’ll be able to build a unique data infrastructure, manage data pipelines and data processing, and maintain data systems.

Learn key Data Engineering Skills such as SQL, Python, Apache Spark (Spark SQL and Pyspark) with Exercises and Projects

Data Engineering is all about building Data Pipelines to get data from multiple sources into Data Lakes or Data Warehouses and then from Data Lakes or Data Warehouses to downstream systems. As part of this course, I will walk you through how to build Data Engineering Pipelines using AWS Data Ana…

Organizations have more data at their disposal today than ever before. The vast amount of data that organizations are capturing, along with their desire to extract meaningful insights is driving an urgent demand for Data Engineers.
Data Engineers play a fundamental role in harnessing data tha…

Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets.

Data science can be generally defined as the process of making data useful, and data engineering is a key part of how and why. If you think of data science like a race car, the data engineers are the pit crew. They’re not driving the car, but they make the car much easier to drive. Data engineer…

Data engineers are responsible for the collection, storage and pre-processing of data. They need to ensure that the right data is available to the right individuals in an organization in a format that is easily accessible and usable.
A large part of the role requires working with databases, s…