Data Engineering Courses
Data engineers set up the infrastructure on which the data scientists and machine learning engineers do their work. They are responsible for data storage and data transportation at the right volume, at the right velocity, and for the required usage. Data engineers are primarily software engineers that specialize in data pipelines and ensuring that data flows where, when, and how it's needed for... Read more Read less
Data engineers set up the infrastructure on which the data scientists and machine learning engineers do their work. They are responsible for data storage and data transportation at the right volume, at the right velocity, and for the required usage. Data engineers are primarily software engineers that specialize in data pipelines and ensuring that data flows where, when, and how it's needed for these models to actually work. They don't need to understand the machine learning or statistical models the way data scientists do.
As Data Engineering Instructor Jeff Katz explains, "It’s the data engineer’s job to collect data from various sources, change that data so it’s easier to use, and store that data in an analytical database. The data engineer needs to automate this to ensure the data is current, accurate, and standard throughout the organization. From there, the data engineer may be involved in cleaning and analyzing the data to provide to the marketing, operations, sales, or product teams."
Data engineers need to know data storage and pipeline tools: SQL-databases like Oracle, NoSQL like Cassandra, queuing and messaging systems like Kafka, and workflow tools like Airflow.
For example, if a data scientist develops a model that theoretically can detect credit card transaction fraud at a bank, then the data engineer would be responsible for ensuring that all the transaction data that the bank handles is stored properly. If the system needs to process a million transactions a second, the data engineer would build the data pipelines that can convey all that info at the right time to the right parts of the system without any delays or bottlenecks.
You can expect to learn data engineering at a Data Science Bootcamp like Jigsaw Labs, NYC Data Science Academy, Springboard, and many more.
160 Data Engineering Courses
No reviews yet
The Analytics Engineer Experience Accelerator is an intensive, online program designed to equip learners with essential data skills. Covering key tools like DBT, SQL, Python, and PowerBI, the course emphasizes hands-on learning through project-based activities. Ideal for those seeking to enhance their data visualization capabilities, this program provides a comprehensive understanding of analytics engineering. Before You Learn / Who This Course Is For Ideal for aspiring analytics engineers Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Interactive, online learning environment Hands-on projects using DBT and SQL Focus on data visualization with PowerBI What You'll Achieve Enhanced skills in SQL, Python, and PowerBI Proficiency in data visualization techniques
No reviews yet
The Fullstack Academy Data Analytics Bootcamp is a full-time, immersive online program designed to build foundational skills in data analytics. Open to all experience levels, it is taught by instructors with industry expertise. Participants will learn advanced Excel, SQL, Python, and explore generative AI tools such as ChatGPT and Google Gemini. The program emphasizes hands-on, project-based learning to prepare students for real-world data challenges. Before You Learn / Who This Course Is For Open to beginners and experienced professionals Ideal for aspiring data analysts No prerequisites required What to Expect Full-time, immersive online format Hands-on projects using SQL, Python, Tableau Experience with AI tools like ChatGPT What You'll Achieve Certificate of completion Proficiency in data analytics and AI tools Skills applicable to data-driven roles
No reviews yet
Zindua School's part-time Data Engineering Specialisation is a 12-week online course designed for analysts and backend developers. Participants will learn to design scalable data infrastructure, architect ETL/ELT pipelines with Apache Airflow, and manage data warehouses using BigQuery and Redshift. Through hands-on labs and a capstone project, students will gain practical experience in processing real-world data and implementing DevOps-style monitoring for reliable pipelines. Before You Learn / Who This Course Is For Designed for analysts and backend developers Ideal for those pursuing data engineering roles No specific prerequisites required What to Expect Online, part-time format over 12 weeks Hands-on labs and a capstone project Focus on ETL/ELT pipelines and data warehouses What You'll Achieve Practical skills in scalable data infrastructure Experience with Apache Airflow, BigQuery, and Redshift Preparedness for data engineer roles
No reviews yet
Nebula Academy offers a 38-week, part-time full stack software engineering bootcamp designed for busy individuals. The course combines instructor-led sessions with self-paced learning, delivered virtually in a cohort model. Students learn foundational software engineering skills, React, and full-stack application development across four modules. The program culminates in a capstone project, demonstrating the integration of acquired skills. Participants also have the opportunity to earn a Fullstack Developer Certification through microcerts and a final practicum aligned with industry standards. Before You Learn / Who This Course Is For Ideal for busy professionals seeking part-time learning Suitable for aspiring software engineers No prerequisites; open to all backgrounds What to Expect Blended format: instructor-led and self-paced Hands-on projects in web and full-stack development Access to office hours for additional support What You'll Achieve Earn the Nebula Academy Fullstack Developer Certification Gain skills in HTML, CSS, JavaScript, and React Prepare for real-world software developer interviews
Software engineer
I learned coding at Nebula, I was part of the first bootcamp. It was not easy at the beginning but it was amazing to see all you can do with a few lines of codes and that changed everything. I also learned many other skills among them, problem solving which is very important because it will help you in your entire life either you are in technology or not. Great online environment and support le...
Read Nebula Academy reviewsNo reviews yet
Nebula Academy's 34-week Full Stack Software Engineering Bootcamp is an instructor-led, virtual program designed to build foundational and advanced skills in software engineering. This comprehensive course is segmented into four modules, focusing on HTML, CSS, JavaScript, React, NodeJS, and Express. Through hands-on projects, learners develop full-stack applications and complete a capstone project, ensuring practical, real-world experience. The bootcamp also covers AWS Cloud Practitioner Certification training, with exams included in the tuition, providing a robust learning experience for aspiring developers. Before You Learn / Who This Course Is For Aspiring software developers and engineers No prior experience required Ideal for career changers and tech enthusiasts What to Expect Instructor-led virtual sessions Hands-on projects and capstone application Access to instructor support and office hours What You'll Achieve Nebula Academy Fullstack Web Developer Certification AWS Cloud Practitioner Certification training Proficiency in full-stack development tools
Software engineer
I learned coding at Nebula, I was part of the first bootcamp. It was not easy at the beginning but it was amazing to see all you can do with a few lines of codes and that changed everything. I also learned many other skills among them, problem solving which is very important because it will help you in your entire life either you are in technology or not. Great online environment and support le...
Read Nebula Academy reviewsNo reviews yet
Nebula Academy offers a self-paced, online Full Stack Software Engineering Bootcamp, structured in four comprehensive modules. Participants will learn essential software engineering skills, including HTML, CSS, JavaScript, and React. The program culminates in a capstone project, integrating learned skills to solve real-world problems. Successful completion awards a Fullstack Web Developer Certification, with optional support services available. Before You Learn / Who This Course Is For Open to aspiring software developers No prerequisites required Ideal for those seeking comprehensive full stack skills What to Expect Self-paced online learning Hands-on projects and capstone development Optional support: office hours, career coaching What You'll Achieve Nebula Academy Fullstack Web Developer Certification Mastery of full stack development skills Enhanced career opportunities in tech
Software engineer
I learned coding at Nebula, I was part of the first bootcamp. It was not easy at the beginning but it was amazing to see all you can do with a few lines of codes and that changed everything. I also learned many other skills among them, problem solving which is very important because it will help you in your entire life either you are in technology or not. Great online environment and support le...
Read Nebula Academy reviewsNo reviews yet
The Data Engineer Bootcamp is an intensive online, self-paced program designed to equip learners with essential skills in data modeling, cloud computing, Python, SQL, and more. Delivered through a combination of hands-on projects and interactive learning, this course provides practical experience in data warehousing and machine learning using tools like Snowflake and Tableau. Before You Learn / Who This Course Is For Designed for aspiring data engineers Ideal for individuals with basic programming knowledge No specific prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using Python, SQL, and Tableau Interactive modules on data warehousing and cloud computing What You'll Achieve Comprehensive understanding of data engineering principles Practical skills in data modeling and cloud technologies
No reviews yet
The Machine Learning Developer bootcamp is an immersive, online program focusing on essential skills like data scraping, Python, AWS, Docker, Numpy, and Tensorflow. Designed for aspiring machine learning professionals, the course combines theoretical knowledge with practical applications to align with business objectives. Participants will engage in hands-on projects to solidify their understanding and readiness for real-world challenges. Before You Learn / Who This Course Is For Ideal for aspiring machine learning professionals Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Online delivery with hands-on projects Covers Python, AWS, Docker, and Tensorflow Focus on aligning skills with business objectives What You'll Achieve Develop practical machine learning skills Learn data scraping and model deployment Gain career-ready expertise in essential tools
No reviews yet
This comprehensive online course equips learners with the essential skills for a career in data engineering. Through self-paced modules, students will delve into data management, processing, and storage techniques. Practical projects and hands-on exercises enhance learning, ensuring mastery of industry tools and methodologies. Before You Learn / Who This Course Is For Aspiring data engineers and technical professionals Ideal for those transitioning to data-focused roles No prerequisites required What to Expect Self-paced, flexible online learning Hands-on projects with real-world data scenarios Access to industry-standard tools and resources What You'll Achieve Proficiency in data engineering principles and practices Skills applicable to data-driven career paths
No reviews yet
This online, self-paced course prepares students for a career in machine learning. It covers essential machine learning concepts and techniques through project-based learning and practical exercises. Learners gain hands-on experience with popular tools and frameworks used in the industry, ensuring a comprehensive understanding of machine learning applications. Before You Learn / Who This Course Is For Designed for aspiring machine learning professionals Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using industry-standard tools Access to community forums for peer collaboration What You'll Achieve Certificate of completion upon finishing the course Proficiency in key machine learning techniques Skills applicable to various data-driven roles