Data Engineering Courses and Certifications

Career Certificate

Big Data Processing Using Hadoop

Master the Hadoop ecosystem for big data processing, from HDFS and MapReduce to advanced tools like Hive, Pig, and Spark. Develop practical skills for designing, deploying, and optimizing large-scale data solutions.

• Coursera
• 12 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

HDFS Architecture and Programming

Master HDFS architecture and Java programming techniques for building scalable big data solutions. Learn file operations, data compression, and specialized storage using hands-on practice with Hadoop's distributed system.

• Coursera
• 14 hours 1 minute
• Self-Paced
• Paid Course

Data Analysis Using Hadoop Tools

Master Hadoop ecosystem tools like Hive, Pig, HBase, and Spark for advanced big data processing and analysis. Gain hands-on experience with SQL querying, data transformation, NoSQL databases, and in-memory computation.

• Coursera
• 23 hours 39 minutes
• Self-Paced
• Paid Course

Design Thinking and Predictive Analytics for Data Products

119 ratings at Coursera

Learn to design predictive models using Python, covering supervised learning, regression, feature engineering, classification methods, and gradient descent. Gain hands-on experience in data manipulation and analysis.

• Coursera
• 8 hours 25 minutes
• Self-Paced
• Paid Course

Identifying the Right Role for Yourself

Explore data science and AI careers, learn role distinctions, assess personal fit, and identify necessary skills for various positions in these rapidly growing fields.

• Coursera
• 9 hours
• Self-Paced
• Paid Course

Big Data - Capstone Project

Analyze simulated game data using various big data tools to gain insights, improve gameplay, and create compelling reports for "Catch the Pink Flamingo".

• Coursera
• 21 hours 32 minutes
• Self-Paced
• Paid Course

Databricks to Local LLMs

12 ratings at Coursera

Master Databricks for data engineering and analytics, plus run local LLMs like Mixtral using Hugging Face Candle and Mozilla llamafile for advanced AI workflows.

• Coursera
• 1 day 3 hours 24 minutes
• Self-Paced
• Paid Course

Cloud Computing Foundations

Learn to build cloud infrastructure, apply Agile techniques, and create serverless websites. Gain hands-on experience with AWS services, continuous deployment, and DevOps principles for scalable cloud solutions.

• Coursera
• 1 day 11 hours 18 minutes
• Self-Paced
• Paid Course

Career Certificate

Large Language Model Operations (LLMOps)

Master generative AI techniques, LLM management, and deployment across platforms. Gain hands-on experience in designing and scaling language models for diverse applications through immersive projects and real-world challenges.

• Coursera
• 20 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 4 courses

Career Certificate

Rust Programming

Master Rust's speed and safety for systems programming, data engineering, DevOps, and AI integration through hands-on projects and real-world applications.

• Coursera
• 16 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Data Engineering with Microsoft Azure

9 ratings at Udacity

Design data models, build warehouses and lakes, create pipelines, and work with large datasets using Azure Synapse Analytics, Databricks, and Data Factory for efficient data engineering on the Azure platform.

• Udacity
• 56 hours
• Self-Paced
• Paid Course

Software Engineering for Data Scientists

1 rating at Udacity

Master software engineering best practices for data science, including OOP, package creation, virtual environments, testing, and building interactive ML dashboards with FastHTML.

• Udacity
• 13 hours
• Self-Paced
• Paid Course

Career Certificate

Software Engineering for Data Scientists

Master essential software engineering skills including Git, Python, Bash, and testing to bridge the gap between data science and engineering teams effectively.

• Codecademy
• 22 hours
• Self-Paced
• Free Trial Available

Explore principles and technologies of Linked Data for massive-scale data sharing and reuse. Learn about ontologies and the Web of Data to revolutionize data discovery, access, and integration.

• openHPI
• 8 weeks
• Self-Paced
• Free Certificate

Prepare to teach DP-203: Microsoft Azure Data Engineering

Comprehensive guide for educators to integrate Microsoft Azure Data Engineering curriculum, covering program benefits, course preparation, teaching best practices, and student certification processes.

• Microsoft Learn
• 5 hours 11 minutes
• Self-Paced
• Free Online Course