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
3.5
Nebula Academy offers a 20-week, full stack software engineering bootcamp conducted virtually with live instruction. The course is structured into four modules, covering fundamental software engineering, React framework, full stack application development, and a capstone project. Students gain hands-on experience through projects and build skills in HTML, CSS, JavaScript, NodeJS, and Express. The program also includes preparation for the AWS Cloud Practitioner Certification and provides a path to earn the Nebula Academy Fullstack Web Developer Certification. Before You Learn / Who This Course Is For Aspiring software engineers and developers No prerequisites; open to all skill levels Ideal for career changers and tech enthusiasts What to Expect Live, virtual instructor-led sessions Hands-on projects and a capstone project Access to AWS Cloud Practitioner Certification prep What You'll Achieve Nebula Academy Fullstack Web Developer Certification AWS Cloud Practitioner Certification Proficiency in full stack development skills
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 course reviews4.67
Spiced Academy's Data Analytics Program is an intensive, nine-week, full-time course held on-site in Berlin. This hands-on program is designed for individuals with basic spreadsheet skills who wish to become proficient data analysts. Participants will learn Python, pandas, and SQL, and will engage in dynamic projects to cement their knowledge. The course includes a dedicated week for career coaching, covering CV preparation and interview techniques, ensuring students are job-ready upon completion. Before You Learn / Who This Course Is For Designed for beginners with spreadsheet experience Ideal for aspiring data analysts No coding experience required What to Expect On-site, full-time instruction in Berlin Hands-on projects using Python, pandas, SQL Career coaching including CV and interview prep What You'll Achieve Proficiency in data analytics tools and techniques Completion of real-world projects Career readiness with a polished CV
My expectations were exceeded!
My time at SPICED Academy was wonderful, not only because of the tools acquired for data analysis, which have made me more competitive professionally, but also because of the professional growth! The incredible support of the teachers, their commitment to teach and accompany me in every part of the process made me acquire tools that I never imagined I would have. I highly recommend this course ...
Read course reviews4.67
The Data Analyst Bootcamp is an intensive, online program designed to equip students with essential data analysis skills. Participants will learn through self-paced modules covering topics such as Python, statistics, SQL, and machine learning. This hands-on course emphasizes practical application, enabling learners to effectively transition into data analysis roles. Before You Learn / Who This Course Is For Aspiring data analysts and professionals seeking career transition No prerequisites; open to all educational backgrounds Ideal for learners eager to gain practical data skills What to Expect Self-paced, fully online format Hands-on projects and practical exercises Modules on Python, SQL, machine learning, and more What You'll Achieve Comprehensive data analysis skills applicable to various industries Proficiency in tools like Python and SQL
A great experience
I really enjoyed the developers institute bootcamp As a beginner in data,I felt a lot of progress, specially thanks to the teacher staff who is here for you, for all your questions,they are very involved The atmosphere is very family, and it helps you to have great progress in the journey,and of course after I really recommend this bootcamp,it s really the best way to work hard but also to feel...
Read course reviews4.0
The Data Analytics Bootcamp is an intensive online program designed to equip learners with essential data skills. Covering SQL, Power BI, Tableau, Python, and more, the course offers hands-on experience with real-world tools. Through project-based learning, participants engage deeply with data storage and analysis techniques, preparing them for data-driven roles in various industries. Before You Learn / Who This Course Is For Designed for aspiring data analysts and scientists Ideal for both technical and non-technical backgrounds No prerequisites required; open to all learners What to Expect Fully online, self-paced learning format Hands-on projects using Python and Jupyter Notebook In-depth sessions on SQL, Power BI, and Tableau What You'll Achieve Proficiency in data analysis tools and techniques Skills applicable to data roles in diverse sectors
Would highly recommend looking into Dublin coding school!
I spent 8 weeks learning all about data analytics which is such an interesting topic, which I know now!!! I had no background in this, a complete beginner really had no clue So was definitely nervous starting off but after doing the first lesson the nervousness disappeared, you are made feel really comfortable right from the off. I left the first lesson feeling like this is something that I was...
Read course reviews5.0
The Fullstack Academy Data Analytics Bootcamp is a comprehensive online program designed to equip learners with essential data analytics skills. Participants will engage in hands-on projects using tools like Excel, SQL, AWS Glue, Tableau, Python, Gemini, Claude, and more. The curriculum also explores advanced Generative AI applications and ethical data practices. Taught by industry-experienced instructors, this bootcamp prepares students for dynamic careers in data analytics, with additional career coaching support to enhance job readiness. Before You Learn / Who This Course Is For Aspiring data analysts seeking comprehensive skill development No prior experience required Suitable for both technical and non-technical backgrounds What to Expect Online, project-based learning with industry-standard tools Hands-on practice with Excel, SQL, and Python Preparation for the Tableau Desktop Specialist certification What You'll Achieve Proficiency in data analytics tools and techniques Understanding of ethical data practices Readiness for career opportunities in data analytics
Best Class Ever
As a Business Analyst at the University of Chicago, I initially joined the Data Analytics Bootcamp specifically to master SQL. I was impressed to find the curriculum went far beyond that, covering Python, Tableau, and PowerBI in depth. Over the past few months, I’ve already been able to integrate these new skills directly into my current role, and I feel much more confident pivoting into larger...
Read course reviews5.0
DataCamp offers a comprehensive library of over 500 data and AI courses through its Premium subscription. Designed for learners at all levels, these self-paced, online courses cover a wide range of topics including data analysis, machine learning, and programming. With a focus on practical skills and project-based learning, students gain hands-on experience in real-world scenarios, using industry-standard tools and techniques. Before You Learn / Who This Course Is For Suitable for beginners and professionals in data fields No prerequisites required for most courses Ideal for those seeking to enhance data skills What to Expect Self-paced, online learning with flexible access Hands-on projects and real-world applications Access to a wide variety of data and AI topics What You'll Achieve Gain practical skills in data analysis and AI Access to certificates upon course completion
Good learn portal
It is a good portal which balances theory and practice. First, it teaches you about the theory of the topic, and then it lets you apply all that knowledge in a virtual environment with good exercise. I recommend it.
Read course reviews4.5
Nexademy's Data Analytics course offers comprehensive insights into machine learning, NLP, and deep learning. Delivered online, this self-paced program emphasizes experimental design and practical application through hands-on projects. Learners will use tools like R and Python to build effective data solutions, gaining essential skills for analytics-driven roles. Before You Learn / Who This Course Is For Suitable for both technical and non-technical learners Ideal for aspiring data analysts and scientists No prerequisites required What to Expect Self-paced online format for flexible learning Hands-on projects using R and Python Focus on machine learning and NLP applications What You'll Achieve Advanced skills in data analytics and solution building Proficiency in R and Python for data analysis
Intense, complete and interesting
The part-time Data Science Bootcamp was intense and, sometimes, the time was not enough to cover all the topics in details, but it was complete and interesting with many practical sessions to use the techniques previously learnt. The instructors were always available to answer our (many) questions and helped when necessary, leaving everyone enough room to try on their own to find a suitable sol...
Read course reviews4.0
Data-Flair’s Hadoop and Spark Developer Course offers in-depth theoretical knowledge combined with practical skills through real-time project implementations. This online course is designed for learners seeking to master Hadoop and Spark frameworks, providing comprehensive insights into big data processing and analytics through hands-on experiences. Before You Learn / Who This Course Is For Designed for aspiring data engineers and developers Ideal for individuals with basic programming knowledge No prior big data experience required What to Expect Self-paced online format for flexible learning Hands-on projects with real-time data sets In-depth exploration of Hadoop and Spark tools What You'll Achieve Gain proficiency in Hadoop and Spark frameworks Develop practical big data processing skills Prepare for data engineering roles
Java Advanced
This Java course provided a strong foundation in both core and advanced concepts. The explanations were clear, practical, and easy to follow, even for complex topics like OOP, collections, and exception handling. The hands-on projects really helped me apply what I learned in real-world scenarios. I’d highly recommend it to anyone looking to strengthen their Java programming skills.
Read course reviews3.0
The Machine Learning Engineer bootcamp is a comprehensive 5.5-month, full-time program designed for individuals with a strong foundation in mathematics, statistics, and informatics. Delivered online, this course offers hands-on experience with essential tools like Python, Pandas, and TensorFlow. Participants will engage in project-based learning to master data visualization techniques and machine learning concepts, including deep learning and API development. Before You Learn / Who This Course Is For Designed for those with math, statistics, and informatics background Ideal for aspiring machine learning engineers Requires understanding of programming and data analysis What to Expect Full-time online bootcamp over 5.5 months Hands-on projects using Python, Flask, and Docker Learn data visualization with Matplotlib, Seaborn, and Bokeh What You'll Achieve Mastery of machine learning and deep learning concepts Proficiency in tools like TensorFlow and PyTorch Skills applicable to roles in data science and engineering
Good experience
I really enjoyed the course material and the fact that everything was remote. Well I haven’t finished the MLOps part yet. The data science part was very interesting. And even though I did another in person data science bootcamp at SPICED before, I still learned quite a few more things. Teachers have been good and friendly. I just never really give a 5/5 or 10/10.
Read course reviews4.5
Dataquest's Data Engineer path is an online, self-paced program focused on developing essential technical skills for data engineering. Participants will gain expertise in Python programming, data pipelines, and data processing. The course also covers working with multi-table databases using SQL and key tools such as pandas, NumPy, SQLite, MapReduce, and PostgreSQL, all through interactive, project-based learning. Before You Learn / Who This Course Is For Aimed at aspiring data engineers and analysts No prerequisites required; suitable for beginners Ideal for those interested in data processing and databases What to Expect Self-paced, online format for flexible learning Hands-on projects using Python, SQL, and data tools Interactive exercises with real-world data scenarios What You'll Achieve Master skills in Python, SQL, and data tools Ability to build and manage data pipelines Competency in working with multi-table databases
Dataquest for classroom at UFRN
I've used dataquest for about 3~4 months in my university (Universidade Federal do Rio Grande do Norte - UFRN) as a complementar material for the subject Algorithms and Data Structure II. In this subject, we study algotithm complexity, graphs and much more, so the dataquest courses helped me so much to understand these topics. The dataquest platform is very easy to use, and the courses are very...
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