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 Data Science Bootcamp is an immersive, project-based program designed to equip learners with essential skills in data science. Delivered online, the bootcamp covers Python, SQL, MongoDB, machine learning, deep learning, and data visualization. Participants will engage in hands-on projects, including a cumulative real-world modeling assignment, utilizing tools like Tableau and PowerBI to gain proficiency in business intelligence and cloud data science. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required; beginners welcome Suitable for technical and non-technical backgrounds What to Expect Online, project-based learning format Hands-on practice with Python, SQL, and more Collaborative projects modeling real-world use cases What You'll Achieve Comprehensive skills in data science and visualization Proficiency in tools like Tableau and PowerBI
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The Stony Brook University Data Science Bootcamp is a comprehensive online program designed to prepare learners for immediate employment in data science roles. This self-paced, project-based course blends curated materials from top sources with real-world projects to ensure practical skill application. Participants receive personalized support through weekly 1-on-1 mentorship, along with assistance from a dedicated Student Advisor and Teaching Assistant. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites required Suitable for self-motivated learners seeking flexible study options What to Expect Self-paced, project-based learning format Access to resources from DataCamp, Harvard, and others Weekly 1-on-1 mentorship and ongoing support What You'll Achieve Job-ready skills for data science roles Hands-on experience with real-world data projects
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The Data Science & AI bootcamp is a comprehensive, online program that delves into statistics, data visualization, SQL, Tableau, machine learning, and artificial intelligence. This self-paced course emphasizes hands-on learning through real-world projects, equipping learners with essential skills in natural language processing and generative AI. Ideal for those looking to advance their career in data science, the bootcamp offers practical experience in the latest AI technologies. Before You Learn / Who This Course Is For Designed for both technical and non-technical learners Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using SQL, Tableau, and AI tools Explore machine learning and natural language processing What You'll Achieve Gain proficiency in data visualization and AI Practical skills applicable to data science careers
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The Data Science & AI Bootcamp is an intensive, immersive program focusing on essential data science topics and AI technologies. Delivered online, this self-paced course covers statistics, data visualization, SQL, Tableau, machine learning, natural language processing, and generative AI. Learners engage in project-based exercises designed to enhance practical understanding and application of these skills. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and AI enthusiasts Suitable for both technical and non-technical backgrounds No prerequisites required; a passion for learning is essential What to Expect Self-paced online format with flexible scheduling Hands-on projects with real-world data applications Utilization of tools like SQL, Tableau, and AI technologies What You'll Achieve Comprehensive understanding of data science and AI fundamentals Practical skills applicable to various industries Enhanced employability in data-driven roles
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Michigan Tech's Data Science & AI Bootcamp is a comprehensive, self-paced online course designed for those looking to master data science and AI. Through hands-on projects, learners explore topics such as statistics, data visualization, SQL, Tableau, machine learning, and natural language processing. This bootcamp offers a flexible approach to learning, ideal for professionals seeking to upskill in the rapidly evolving tech landscape. Before You Learn / Who This Course Is For Suitable for both technical and non-technical learners Ideal for aspiring data scientists and analysts No prerequisites required What to Expect Self-paced online format with flexible scheduling Hands-on projects using SQL, Tableau, and AI tools Focus on real-world data science applications What You'll Achieve Gain skills in data visualization and machine learning Understand AI and natural language processing techniques
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UCSB's 28-week Data Science & Analytics Bootcamp offers hands-on training in data visualization, predictive analytics, and more. Students learn to use Power BI, Excel, and Transact-SQL, mastering techniques to communicate data effectively. The course includes training in safeguarding against online threats and manipulating data with Power BI and APIs, providing a comprehensive skill set in data science. Before You Learn / Who This Course Is For Open to beginners and professionals Ideal for aspiring data analysts and business intelligence developers No prerequisites required What to Expect Self-paced online format over 28 weeks Hands-on projects using Power BI and Excel Focus on data visualization and predictive analytics What You'll Achieve Gain skills in data visualization and predictive analytics Develop proficiency in Power BI and Transact-SQL
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Vertical Institute's Data Science Bootcamp is an online, self-paced course designed for aspiring data scientists. The program covers essential topics such as Python, Jupyter Notebook, data visualization, and machine learning techniques like linear regression and decision trees. Learners will engage in hands-on projects, culminating in a capstone project that showcases their predictive modeling skills. Before You Learn / Who This Course Is For Aspiring data scientists with no prerequisites Ideal for beginners wanting practical data science skills Suitable for both technical and non-technical backgrounds What to Expect Self-paced online learning format Hands-on projects with tools like Python and Pandas Capstone project on predictive modeling What You'll Achieve Hands-on experience in data science tools and techniques Skills in data cleaning and visualization Predictive model creation for real-world applications
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Educative's Data Scientist bootcamp is a comprehensive, self-paced online program designed for aspiring data professionals. The course covers crucial topics such as data analysis, data engineering, predictive analytics, and machine learning. Participants will engage with tools like Numpy and Pandas through project-based learning to build practical skills in deep learning and neural networks. Before You Learn / Who This Course Is For Aspiring data scientists and analysts No prerequisites; suitable for beginners Ideal for career switchers and upskillers What to Expect Self-paced online format with flexible learning Hands-on projects using Numpy and Pandas Coverage of machine learning and deep learning What You'll Achieve In-depth understanding of data science principles Practical skills in predictive analytics Proficiency in neural networks and statistics
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The University of Maryland Global Campus offers a fully online Machine Learning Engineering & AI Bootcamp, allowing flexibility in learning pace and schedule. Students will design, prototype, and deploy machine learning systems while gaining a comprehensive understanding of ethics, data handling, and deep learning. A certificate of completion is awarded upon finishing the course. Before You Learn / Who This Course Is For Designed for aspiring machine learning engineers Ideal for self-motivated learners seeking flexibility No prerequisites required, open to all backgrounds What to Expect Self-paced online learning with flexible scheduling Hands-on projects building and deploying applications Coverage of ethics and bias in machine learning What You'll Achieve Certificate of completion from University of Maryland Global Campus Proficiency in machine and deep learning systems Skills applicable to AI and data-driven roles
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This comprehensive program offers a deep dive into essential data science techniques and methodologies. Delivered online, it covers Python, SQL, and machine learning, with a focus on practical applications like linear regression and decision trees. Learners will engage in project-based learning to master both quantitative and qualitative research methods, Agile practices, and CRISP-DM methodology. Before You Learn / Who This Course Is For Ideal for aspiring data scientists and analysts No prerequisites; open to beginners and professionals Perfect for those interested in data-driven decision making What to Expect Self-paced online format with interactive modules Hands-on projects and real-world data analysis Focus on Python, SQL, and machine learning applications What You'll Achieve Gain proficiency in Python, SQL, and machine learning Master Agile and CRISP-DM methodologies Prepare for data science roles with practical skills