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
3.0
The University of Toronto's Data Analytics Bootcamp is a comprehensive online program designed to equip students with essential skills in SQL, Python, statistics, machine learning, Excel, PowerBI, and big data engineering. Through a structured, self-paced format, learners engage in project-based learning to apply their knowledge practically. The course is ideal for those seeking to enhance their data analytical capabilities in various professional contexts. Before You Learn / Who This Course Is For Designed for aspiring data analysts and engineers Ideal for both technical and non-technical backgrounds No prerequisites required; open to all learners What to Expect Self-paced online format with flexible learning schedule Project-based learning with real-world applications Comprehensive coverage of data analytics tools and techniques What You'll Achieve Gain proficiency in SQL, Python, and machine learning Develop skills in Excel and PowerBI for data visualization Prepare for data-centric roles across industries
Good Support
The support provided by Intellipaat is commendable. The support team is highly responsive and proactive in addressing any issues or concerns that may arise. Whether it's troubleshooting technical issues or providing guidance on course materials, I have always felt supported throughout my learning journey.
Read course reviews5.0
The Hyperskill AI Engineer Bootcamp is a 10-week live, online course designed for experienced developers aiming to transition into AI engineering roles. Participants will learn to build production-ready AI systems, focusing on real-world applications like LLM pipelines and agentic AI. The program offers hands-on projects, mentorship, and a supportive community, providing a comprehensive understanding of AI engineering in practical scenarios. Before You Learn / Who This Course Is For Experienced developers with programming backgrounds Ideal for those moving into AI roles Requires prior programming experience What to Expect Live, instructor-led sessions about 15 hours weekly Hands-on workshops and architecture reviews Access to expert community and mentorship What You'll Achieve Build a portfolio for AI Engineer roles Gain skills in AI system design and trade-offs
Effectively and successfully implemented
The bootcamp lasted about 10 weeks, and during that time I was able to carry out and complete many projects. The modules were well-structured, and the sprint-based workflow was well-organized and enjoyable. The frameworks used are closely aligned with current market trends, which makes the program very interesting. I found the variety of products and the focus on operating an AI application to ...
Read course reviews5.0
The Data Science & AI Bootcamp is an intensive online program designed for professionals to master data science and artificial intelligence. Focusing on key topics such as statistics, data visualization, SQL, and machine learning, the bootcamp offers a comprehensive, project-based learning experience. Participants will also delve into advanced concepts like natural language processing and generative AI, equipping them with skills essential for modern data-driven roles. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; open to all backgrounds Suited for technical and non-technical professionals What to Expect Online, self-paced learning with project-based modules Hands-on practice with SQL, Tableau, and AI tools In-depth exploration of machine learning techniques What You'll Achieve Gain proficiency in data analysis and AI applications Receive a certificate of completion Skills applicable to careers in data science and AI
Challenging but rewarding
The course provided a strong foundation in Python, SQL, machine learning, NLP and cloud computing. The labs reinforced the skills aquired in modules and the mini projects tested these skills by applying them to real world problems. Overall the experience was challenging but ultimately rewarding and prepared me with the tools and confidence to pursue a career in data analysis.
Read course reviews5.0
Le Wagon’s Data Engineering Bootcamp is an intensive, two-month program designed to equip learners with essential skills in building scalable data pipelines. The course is delivered online and focuses on mastering Python, CI/CD, orchestration tools like Airflow, and big data frameworks. Ideal for software engineers, data scientists, and analytics professionals, the bootcamp offers a hands-on, project-based learning experience using modern tools and cloud technologies. Before You Learn / Who This Course Is For Designed for software engineers, data scientists, and analytics professionals Ideal for those ready to enhance data stack skills Basic programming knowledge recommended What to Expect Two-month online, intensive format Hands-on projects with modern tools and cloud technologies Includes practical use of Airflow and big data frameworks What You'll Achieve Master Python and CI/CD for data pipelines Gain proficiency in orchestration tools Apply skills to modern data infrastructure
Wonderful learnings on DE
Le wagon training I attended was absolutely fantastic. Although it was somewhat challenging, I learned a great deal about data engineering. Many thanks to the instructors for their exceptional expertise and teaching.
Read course reviews5.0
Hacktiv8's Comprehensive Data Analytics (CODA) Bootcamp is a 12-week online program designed to equip participants with essential skills in data analysis and engineering. Spanning 180 hours, the bootcamp includes three phases: Basic Programming, Fundamental Data Analysis, and Automating Data Transformation. Delivered remotely with a balanced mix of theory and practical application, learners engage in industry-relevant case studies and real projects to ensure hands-on experience. Before You Learn / Who This Course Is For Aspiring data analysts and engineers Ideal for those seeking structured, intensive learning No prerequisites; open to all skill levels What to Expect Remote learning with live sessions 50% theory and 50% hands-on practice Industry-relevant case studies and real projects What You'll Achieve Proficiency in data analysis and engineering skills Experience with real-world data projects
Difficult and Challenging
The CODA program at Hacktiv8 was honestly challenging and intense, the schedule was quite packed, so it demanded real commitment and time management. That said, the material itself was well put together, covering everything from Python and SQL to statistics and data visualization. The mentors were genuinely supportive throughout, and the hands-on challenges along the way made the learning feel ...
Read course reviews1.0
Udacity's Data Streaming Nanodegree offers an in-depth, self-paced online program focused on real-time data processing. Through project-based learning, students gain expertise in modern data engineering tools like Apache Spark, Kafka, Spark Streaming, and Kafka Streaming. This course is designed to equip learners with the skills needed to handle real-time data efficiently. Before You Learn / Who This Course Is For Ideal for aspiring data engineers and analysts Technical background recommended for best experience No strict prerequisites; familiarity with data concepts helpful What to Expect Self-paced online learning with project-based modules Hands-on use of Apache Spark and Kafka Focus on real-time data processing techniques What You'll Achieve Gain fluency in modern data engineering tools Build skills for real-time data handling Prepare for roles in data engineering
Data Streaming Nanodegree
Just here to give 1 star as they don't allow you to end your subscription anymore -- you're forced to go thru an agent and explain yourself. So of course I changed my credit card to a single-use Revolut and cancelled it and won't use Udacity anymore -- I lost all my trust for this company.
Read course reviews4.0
The AI and Machine Learning Program by TripleTen is a comprehensive 9-month online course designed for diverse learners entering the tech field. Participants will explore Python, neural networks, and advanced AI topics using industry-standard tools like TensorFlow and PyTorch. Through project-based learning, students will complete 15 portfolio projects, developing both technical and soft skills crucial for career advancement. The program includes career support services such as resume building and interview preparation. Before You Learn / Who This Course Is For Open to diverse backgrounds and skill levels Ideal for aspiring tech professionals No prerequisites required What to Expect Online, project-based learning format Hands-on practice with tools like TensorFlow, PyTorch Comprehensive career support and coaching What You'll Achieve Portfolio with 15 projects Proficiency in AI and machine learning tools Career-ready skills for tech roles
Strong and Flexible Program
TripleTen’s AI and Machine Learning program has been a strong experience so far. The curriculum is well structured, interactive, and manageable for part-time learners while still being genuinely challenging. Access to tutors and office hours adds real value. It’s a great deal for the cost, and the program is clearly evolving based on student feedback. Supplementing with outside resources helps ...
Read course reviews4.0
4Geeks Academy offers an innovative AI and Machine Learning Engineer program, designed to equip students with essential skills and tools. Taught by renowned Ph.D. professionals, this course prepares learners for a flourishing career in AI. Delivered online, it combines theoretical knowledge with practical applications, providing a comprehensive learning experience. Before You Learn / Who This Course Is For Ideal for aspiring AI engineers and data scientists Open to both technical and non-technical backgrounds No specific prerequisites required What to Expect Online learning with expert Ph.D. instructors Focus on hands-on, project-based activities Exposure to cutting-edge AI tools and techniques What You'll Achieve Skills to thrive as an AI and Machine Learning Engineer Understanding of key AI tools and methodologies
Career booster
My experience with 4Geeks has been truly transformative. From day one, the team was committed to providing me with the support and tools I needed to achieve my professional goals. The Career Support program was especially valuable. They helped me refine my resume and LinkedIn profile, highlighting my strengths in an effective way. Additionally, the interview practice sessions prepared me tremen...
Read course reviews4.0
The Data Engineering Specialization is a 20-week intensive online program designed for participants from the MENA region. It focuses on equipping learners with market-ready data engineering skills through real-world projects and challenges. Developed by industry and academic experts, the course ensures foundational knowledge and practical experience for current industry job roles. Before You Learn / Who This Course Is For Targeted at MENA region professionals Ideal for aspiring data engineers No prerequisites required What to Expect 20-week intensive online program Real-world projects and challenges Industry and academic expert-designed curriculum What You'll Achieve Gain market-ready data engineering skills Complete real-world projects Prepare for industry job roles
Data Engineering at Zaka
Zaka Academy has proven to be a remarkable educational institution that thrives amidst challenges. The academy's commitment to excellence and resilience in the face of obstacles is truly commendable. The curriculum is designed to provide comprehensive knowledge and practical skills, empowering students to overcome industry challenges with confidence. The dedicated faculty and staff foster a sup...
Read course reviews5.0
Tech Talent & Strategy's Data Science program is an online, project-based bootcamp designed to teach both beginner and intermediate levels of data science. Students engage with a comprehensive curriculum covering R, Python, Hadoop, Spark, and more, through hands-on projects and expert-led instruction. This program prepares learners to pursue careers in data analytics, business intelligence, and business analytics, with a focus on real-world applications and updated industry practices. Before You Learn / Who This Course Is For Beginners and intermediate learners interested in data science Ideal for aspiring data analysts and business intelligence professionals No prerequisites; enthusiasm for learning required What to Expect Online, project-based learning format Hands-on practice with R, Python, Hadoop, Spark Real-world data projects and portfolio building What You'll Achieve Comprehensive data science skills with R, Python, and more Experience with real-world data analytics challenges
Great classes for after work
My experience so far has been great. I am looking forward to learning more about coding basics and am excited to see where I can go with those skills from there! I work during the day and this is a good option that is both flexible enough and not overwhelming in terms of assignments.
Read course reviews