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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The Machine Learning Engineering & AI Bootcamp from UMass Global is a fully online, self-paced program. This course covers essential topics like machine learning models, data engineering, and deep learning. Learners design and deploy applications, gaining hands-on experience in building and scaling machine learning systems. Completing the bootcamp earns a certificate from UMass Global, showcasing your new skills. Before You Learn / Who This Course Is For Ideal for aspiring machine learning engineers Open to those interested in AI and data science No prerequisites required; self-paced learning What to Expect Self-paced, fully online format Hands-on projects building and deploying AI applications Covers ethics and bias in machine learning What You'll Achieve Certificate of completion from UMass Global Skills in designing and deploying AI systems Applicable knowledge for machine learning careers
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The IMMUNE Technology Institute offers a 21-month Master in Cloud Architecture & DevOps Management, delivered online with a learning-by-doing approach. Students gain expertise in designing, automating, and managing cloud infrastructures using AWS, Azure, and Google Cloud. Key tools such as Docker, Kubernetes, Terraform, and Jenkins are taught in real-world settings, preparing participants for industry-recognized certifications. Before You Learn / Who This Course Is For Aspiring Cloud Architects and DevOps Managers Technical professionals seeking advanced cloud skills Basic understanding of cloud concepts recommended What to Expect 21-month online program with real-world projects Hands-on training with AWS, Azure, Google Cloud Learning-by-doing with Docker, Kubernetes, Terraform What You'll Achieve Preparation for AWS, Azure, Google Cloud certifications Skills in designing scalable, secure cloud infrastructures Career advancement in cloud architecture and DevOps
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IMMUNE Technology Institute's Master Executive in Data Science is an 11-month online program focusing on real-world applications. Students will master Python, SQL, machine learning, and data storytelling through project-based learning. The program includes cloud certification preparation and professional coaching to enhance career prospects. Before You Learn / Who This Course Is For Ideal for aspiring data scientists No prerequisites required Suitable for career changers and professionals seeking advancement What to Expect Online, project-based learning format Hands-on projects with real data Mentor reviews and professional coaching included What You'll Achieve Build a comprehensive data science portfolio Preparation for cloud certifications (Azure, AWS, GCP) Enhanced skills for career advancement
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IMMUNE Technology Institute's Advanced Program in AI & Data Science for Business is designed for professionals seeking to elevate their skills in AI-driven decision-making. The course focuses on transforming data into strategic insights using advanced techniques in Machine Learning, Deep Learning, and MLOps. Delivered through real-world projects, participants will build scalable predictive models and learn to communicate their value effectively. Before You Learn / Who This Course Is For Designed for individuals with foundational AI knowledge Ideal for professionals in tech and business Geared towards those seeking advanced skills What to Expect Project-based learning with real company data Focus on Machine Learning, Deep Learning, and MLOps Emphasis on practical, measurable outcomes What You'll Achieve Ability to build scalable predictive models Enhanced data-driven strategic decision-making skills
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The Advanced Data Engineering Masters Program offers a comprehensive online curriculum focused on data analysis, engineering, and machine learning. This self-paced course covers essential tools such as Python, SQL, Excel, and PowerBI, alongside advanced topics like AI and cloud computing. Participants engage in hands-on projects to solidify their skills and apply them in real-world scenarios. Before You Learn / Who This Course Is For Designed for aspiring data engineers and analysts Suitable for technical professionals seeking advanced skills Basic programming knowledge recommended What to Expect Self-paced online format with flexible scheduling Hands-on projects using Python, SQL, and PowerBI In-depth modules on AI and cloud computing What You'll Achieve Certification in Data Engineering Proficiency in data analysis and machine learning Skills applicable to data-driven roles
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The Fullstack Academy Data Analytics Bootcamp offers a comprehensive, full-time online program designed to equip learners with essential data analytics skills. Taught by industry professionals, the course requires no prior experience, making it accessible to all aspiring data analysts. Participants will engage with advanced Excel features, programming languages such as SQL and Python, and tools like Tableau and AWS Glue. Additionally, the curriculum includes training in generative AI using tools like ChatGPT and Google Gemini, ensuring a well-rounded educational experience. Before You Learn / Who This Course Is For Open to beginners with no prior experience required Ideal for aspiring data analysts Suitable for both technical and non-technical backgrounds What to Expect Full-time online curriculum with industry-experienced instructors Hands-on projects using SQL, Python, and Tableau Training in AI tools like ChatGPT and Google Gemini What You'll Achieve Gain proficiency in data analytics tools and languages Develop skills in creating data-driven presentations Prepare for a career in data analytics
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The Data Engineer Bootcamp offers a comprehensive, self-paced online learning experience focusing on key data engineering skills. Participants will master data analysis, cleaning, visualization, and exploration using Python, alongside API manipulation and cloud solutions like Amazon AWS. The curriculum includes training in supervised/unsupervised machine learning, natural language processing, Hadoop, and SQL/NoSQL databases, with a strong emphasis on practical, hands-on projects. Before You Learn / Who This Course Is For Aimed at aspiring data engineers and analysts Ideal for those with a basic understanding of Python No formal prerequisites required What to Expect Self-paced online modules for flexible learning Hands-on projects using Python and cloud solutions Training in data streaming and Hadoop ecosystem What You'll Achieve Gain proficiency in data engineering tools and techniques Develop skills in machine learning and data processing Enhance career prospects in data-driven roles
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The Data Engineering Boot Camp is an online, project-based program designed to equip learners with essential data engineering skills. Through modules on Python, Spark, AWS, and SQL, participants learn to create production-ready ETL processes and build cloud data warehouses. The course includes hands-on experience with 15 mini-projects and 2 comprehensive capstone projects, ensuring a well-rounded mastery of data engineering techniques. Before You Learn / Who This Course Is For Ideal for aspiring data engineers Suitable for both technical and non-technical backgrounds No prerequisites required What to Expect Project-based learning with real-time applications Hands-on experience with Python, Spark, and AWS 15 mini-projects and 2 capstone projects What You'll Achieve Comprehensive data engineering skill set Ability to create production-ready ETL processes Proficiency in building cloud data warehouses
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Promineo Tech's Data Engineering Bootcamp offers a comprehensive, self-paced online experience focusing on essential data engineering skills. Participants will engage in project-based learning covering logic, Python, Hadoop, AWS, Jupyter, and data visualization. This course is designed to provide practical, industry-relevant skills through hands-on exercises. Before You Learn / Who This Course Is For Suitable for aspiring data engineers and analysts No prior experience in data engineering required Ideal for learners seeking practical, hands-on skills What to Expect Self-paced online format with flexible scheduling Project-based learning with real-world applications In-depth exploration of Python, Hadoop, and AWS What You'll Achieve Proficiency in data engineering tools and techniques Hands-on experience with data visualization Skills applicable to data-driven roles
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The Data Science Boot Camp offers an intensive 400+ hour curriculum focused on the Data Science Method. Participants engage in two portfolio-worthy capstone projects while exploring 18 comprehensive units. The course allows specialization in one of three tracks tailored to career goals, covering essential topics such as Python Data Stack, data wrangling, statistical inference, and machine learning. This program is designed to equip learners with the skills needed to excel in the data science field through hands-on experience and project-based learning. Before You Learn / Who This Course Is For Aspiring data scientists and analytics professionals Ideal for technical and non-technical backgrounds No prerequisites required, just a passion for data What to Expect 400+ hours of comprehensive curriculum Two portfolio-worthy capstone projects Specialization in one of three career tracks What You'll Achieve Mastery of the Data Science Method Skills in Python, data wrangling, and machine learning Preparedness for a data-focused career