Data Engineering Courses
Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.
Popular Data Engineering Courses and Certifications
Skills you'll gain: Model Deployment, Data Preprocessing, Applied Machine Learning, Machine Learning Methods, Machine Learning, Predictive Modeling, Feature Engineering, Data Pipelines, Data Transformation, Data Science, Python Programming, Regression Analysis
Skills you'll gain: File I/O, Test Case, Data Validation, Verification And Validation, Scripting, Data Cleansing, Python Programming
Status: PreviewNanjing University
Skills you'll gain: Data Analysis, Statistical Analysis, Financial Data, Data Presentation, Data Processing, User Interface (UI), Object Oriented Programming (OOP), Data Capture, Pandas (Python Package), NumPy, Python Programming, Graphical Tools, Data Manipulation, Matplotlib, Data Preprocessing
Skills you'll gain: Apache Kafka, Data Pipelines, Google Cloud Platform, Java, Public Cloud, Cloud API, Network Analysis
Status: Free TrialSkills you'll gain: Real Time Data, Digital Transformation, Google Cloud Platform, Cloud Storage, Data Warehousing, Looker (Software), Big Data, Data Transformation, Analytics, Business Intelligence, Dataflow, Data Management, Data Pipelines, Data-Driven Decision-Making, Data Analysis
Status: Free TrialSkills you'll gain: Microsoft Azure, Cloud Services, Relational Databases, Databases, Analytics, Data Storage, Data Lakes, NoSQL, Data Warehousing, SQL, Test Planning
Google Cloud
Skills you'll gain: Google Cloud Platform, Data Store, Cloud API, Health Information Management, Health Informatics, Application Programming Interface (API), Health Care, Cloud-Based Integration, Cloud Computing, Health Technology
Status: NewStatus: Free TrialSkills you'll gain: Predictive Modeling, Matplotlib, Applied Machine Learning, Seaborn, Data Visualization, Regression Analysis, Pandas (Python Package), Statistical Machine Learning, Statistical Analysis, Machine Learning, Supervised Learning, Data Science, Scikit Learn (Machine Learning Library), Probability & Statistics, Python Programming, Unsupervised Learning, Data Analysis, Decision Tree Learning, NumPy, Data Manipulation
Status: Free TrialSkills you'll gain: Dataflow, Data Pipelines, Debugging, Google Cloud Platform, System Monitoring, Data Integrity, CI/CD, Data Processing, Unit Testing, Performance Tuning, Disaster Recovery
Status: Free TrialSkills you'll gain: Object Oriented Programming (OOP), Java Programming, Java, Object Oriented Design, Data Structures, Debugging
Status: NewStatus: Free TrialSkills you'll gain: Data Processing, Data-Driven Decision-Making, NumPy
Status: FreeJohns Hopkins University
Skills you'll gain: Health Policy, Data Presentation, Health Disparities, Health Equity, Health Informatics, Data Literacy, Epidemiology, Data Quality, Public Health, Data-Driven Decision-Making, Policy Analysis, Data Analysis, Data Visualization Software
Searches related to data engineering
In summary, here are 10 of our most popular data engineering courses
- Snowflake for Data Science: Intro to Snowpark ML for Python: Coursera
- Use Python Regular Expressions to Process File Data: Coursera
- 用Python玩转数据 Data Processing Using Python: Nanjing University
- Creating a Streaming Data Pipeline With Apache Kafka: Google Cloud
- Exploring Data Transformation with Google Cloud - Español: Google Cloud
- Preparing for DP-900: Microsoft Azure Data Fundamentals Exam: Microsoft
- Ingesting HL7v2 Data with the Healthcare API: Google Cloud
- Foundations of Data Science and Machine Learning with Python: Packt
- Serverless Data Processing with Dataflow: Operations en Español: Google Cloud
- OOP concepts, Collections and Data Structures: Packt
