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
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Data Science Dojo's Python for Data Science bootcamp is an intensive, five-day online course designed for those eager to enhance their data science skills using Python. Over 15 hours of live instruction, participants will explore both foundational and advanced Python techniques, culminating in a hands-on project. This course is ideal for individuals aiming to transfer their programming skills across various industries, particularly in data science, machine learning, and AI. Before You Learn / Who This Course Is For Aspiring data scientists and analysts Ideal for Python beginners and intermediate users No prerequisites required, just a passion for learning What to Expect Live online instruction over five days Hands-on projects and advanced Python techniques Interactive sessions with real-world data applications What You'll Achieve Enhanced Python skills for data science Completion project showcasing data analysis abilities Foundation for career advancement in tech fields
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Pragra's Data Science Bootcamp offers intensive, several-week training designed to prepare participants for a career in data science. The bootcamp covers essential topics like statistics, machine learning, and data visualization, utilizing programming languages such as Python and R. Learners engage in hands-on projects with real-world datasets, under the mentorship of experienced professionals, gaining practical, applicable skills. Before You Learn / Who This Course Is For Intended for aspiring data scientists Suitable for both technical and non-technical backgrounds No specific prerequisites required What to Expect Hands-on projects with real-world datasets Guidance from experienced data science mentors Engagement with programming languages like Python and R What You'll Achieve Practical data science skills for career advancement Experience in machine learning and data visualization
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Codemify’s Machine Learning Engineer Program is a hands-on bootcamp designed for career changers seeking practical ML skills. Participants gain real-world experience through internships with U.S.-based startups and engage in intensive interview preparation. The program emphasizes building projects, training models, and deploying applications with support from live mentors, ensuring students acquire tools like Python, Pandas, and scikit-learn for real-world applications. Before You Learn / Who This Course Is For Ideal for career changers entering machine learning Open to all with no specific prerequisites Perfect for those seeking hands-on experience in ML What to Expect Internship at a U.S.-based startup for real-world experience Live mentorship and a supportive learning community Intensive interview preparation with up to six sessions weekly What You'll Achieve Proficiency in Python, Pandas, NumPy, and scikit-learn Skills in data modeling, visualization, and ML pipelines
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Metana.io's AI and Machine Learning Bootcamp offers an immersive online experience for professionals seeking to advance in AI. The program includes comprehensive coverage of AI fundamentals, data preprocessing, predictive modeling, deep learning, NLP, and computer vision. Delivered through hands-on projects, participants apply knowledge in real-world scenarios, supported by expert instructors and a collaborative learning environment. Before You Learn / Who This Course Is For Ideal for professionals enhancing AI skills Suitable for technical backgrounds No specific prerequisites required What to Expect Interactive online format with expert instruction Hands-on projects and real-world applications Collaborative environment with networking opportunities What You'll Achieve Certificate of completion from Metana.io Skills in AI, NLP, and computer vision Foundation for AI career advancement
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This comprehensive 8-month program focuses on building data pipelines, dashboards, and AI models using a modern tech stack. Delivered through live sessions, it includes four months of foundational training followed by advanced learning. Participants will gain hands-on experience with tools like Google Cloud Platform, BigQuery, and Databricks, culminating in a Databricks Certified Data Engineer Associate certification. Before You Learn / Who This Course Is For Aspiring Data Engineers and ETL developers Ideal for those building scalable data solutions No specific prerequisites required What to Expect 8-month program with live sessions and mentoring Hands-on experience with Google Cloud and Databricks Career advice and unlimited job support until placement What You'll Achieve Prepared for Databricks Certified Data Engineer Associate certification Skills in DataOps, ETL, and data orchestration Proficiency in tools like BigQuery and PySpark
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Codelabs Academy offers a comprehensive 12-week online Data Science and AI bootcamp, focusing on Python, SQL, and machine learning. Participants will develop algorithms for computer vision and natural language processing in a structured, project-based format. This intensive program prepares learners for careers in tech by providing a solid foundation in both theoretical concepts and practical skills. Before You Learn / Who This Course Is For Open to beginners and career changers No prior programming experience required Ideal for aspiring data scientists and AI professionals What to Expect Intensive, project-based online format Focus on Python, SQL, and machine learning Hands-on algorithms for vision and NLP What You'll Achieve Strong foundation in data analytics and machine learning Skills in deep learning and NLP Preparation for tech career paths
Very good way to upskill in machine learning
I took this course to upskill in machine learning, having basic knowledge in the field. Overall, it was a positive experience for me. I thought the bootcamp was carefully designed, and it mixed theoretical concepts with hands-on experience applying them on real life projects. I also liked that I was able, for my final project, to work on something I had wanted to do for a long time, and I recei...
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Codelabs Academy offers an intensive Data Science and AI bootcamp available online, with options for full-time (12 weeks) or part-time (24 weeks) study. The course covers Python, SQL, and machine learning, guiding learners through algorithm development for vision and NLP. Designed for those pursuing a tech career, the program combines theoretical foundations with practical applications to build essential data science skills. Before You Learn / Who This Course Is For No prior programming experience required Ideal for career changers and beginners Suitable for those exploring tech careers What to Expect Intensive online bootcamp format Hands-on projects and practical applications Covers Python, SQL, and machine learning What You'll Achieve Gain foundational skills in data analytics and AI Develop algorithms for vision and NLP
Very good way to upskill in machine learning
I took this course to upskill in machine learning, having basic knowledge in the field. Overall, it was a positive experience for me. I thought the bootcamp was carefully designed, and it mixed theoretical concepts with hands-on experience applying them on real life projects. I also liked that I was able, for my final project, to work on something I had wanted to do for a long time, and I recei...
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Parsity's AI Development course empowers engineers to build production-ready AI systems using Retrieval Augmented Generation (RAG). This self-paced online course covers core concepts, including document ingestion and semantic search, through hands-on projects. Participants will deploy intelligent agents and create a complete RAG application, enhancing their skills for AI-focused engineering roles. Before You Learn / Who This Course Is For Ideal for developers aiming to specialize in AI Engineers transitioning to AI-focused roles Prerequisites: JavaScript/TypeScript knowledge, API familiarity What to Expect Self-paced learning with hands-on assignments Projects include building a RAG application Mentorship and feedback from AI system experts What You'll Achieve Deep understanding of RAG systems and embeddings Skills in deploying and debugging AI applications
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The Data Analytics course offers a comprehensive, self-paced online learning experience designed for aspiring data professionals. Students will gain industry-ready skills through hands-on projects and the creation of portfolio pieces. The curriculum includes foundational statistics, SQL for database management, Python libraries, and cloud services. Learners will also explore time series and geospatial data processing while collaborating on projects using Git. Before You Learn / Who This Course Is For Ideal for aspiring data analysts and professionals No prerequisites required; open to all learners Suitable for both technical and non-technical backgrounds What to Expect Self-paced online format for flexible learning Hands-on projects and portfolio creation Utilize Python, SQL, and cloud services What You'll Achieve Build a professional portfolio with multiple projects Master SQL, Python, and data visualization Apply skills to real-world data analysis challenges
Fantastic start for your data skillset!
I attended Code Op's Data Analyst Track in 2024. The school provides a great background to anyone who would like to change careers, transition into tech or just gain a new skillset. During 8 weeks we went thoroughly and deeply from the fundamentals of coding in Python to the practical use of data sciences and data analytics. The course offers tools, materials and conducts projects that a studen...
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The Data Science course equips learners with essential skills for a data science career through hands-on projects and portfolio development. The course offers a comprehensive exploration of statistics, machine learning, and data processing using Python libraries like NumPy and Pandas. Delivered online, participants will engage with real-world datasets and tools, ensuring practical understanding and readiness for industry challenges. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for both technical and non-technical backgrounds What to Expect Online, self-paced learning with hands-on projects Utilize Python libraries: NumPy, Pandas, Matplotlib Collaborate using Git and cloud services What You'll Achieve Create multiple portfolio pieces showcasing skills Master data processing including time series and NLP Develop practical, industry-ready data science skills
Fantastic start for your data skillset!
I attended Code Op's Data Analyst Track in 2024. The school provides a great background to anyone who would like to change careers, transition into tech or just gain a new skillset. During 8 weeks we went thoroughly and deeply from the fundamentals of coding in Python to the practical use of data sciences and data analytics. The course offers tools, materials and conducts projects that a studen...
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