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
Northeastern University
Skills you'll gain: Data Storytelling, Data Literacy, Statistical Visualization, Data-Driven Decision-Making, Data Visualization Software, Data Preprocessing, Data Mining, Exploratory Data Analysis, Data Cleansing, Graphing, Big Data, Programming Principles, Python Programming, NumPy
University of Colorado Boulder
Skills you'll gain: Sampling (Statistics), Estimation, Risk Analysis, Statistical Methods, Statistical Software, Return On Investment, Statistical Analysis, Sample Size Determination, R (Software), Data Analysis, Business Risk Management, Probability & Statistics, Statistical Inference, Project Estimation, Business Analysis
University of Colorado Boulder
Skills you'll gain: Data-Driven Decision-Making, Descriptive Statistics, Data Analysis, Probability Distribution, Statistical Software, Statistics, R (Software), Data Visualization, Statistical Analysis, Probability, R Programming, Probability & Statistics, Data Manipulation, Histogram, Taxonomy, Data Import/Export
Skills you'll gain: Prompt Engineering, Plot (Graphics), Data Visualization, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Data Visualization Software, Data Analysis, Natural Language Processing
Skills you'll gain: Data Quality, SQL, YAML, Data Pipelines, Data Validation, Data Mart, CI/CD, Data Modeling, Data Transformation, Version Control, Git (Version Control System), Technical Documentation, Maintainability, Scalability
Johns Hopkins University
Skills you'll gain: Shiny (R Package), Rmarkdown, Plotly, Interactive Data Visualization, Data Presentation, Data Visualization Software, R Programming, Data Mapping, Statistical Reporting, Software Documentation, Web Applications, Package and Software Management
Skills you'll gain: Data Pipelines, Google Cloud Platform, Data Processing, Data Storage, Cloud Engineering, Systems Design, Data Infrastructure, Data Management, Data Architecture, Data Integration, Data Analysis, Automation
Coursera
Skills you'll gain: Data Pipelines, Apache Airflow, Data Integration, Cloud Deployment, Extract, Transform, Load, Cloud Computing, Data Processing, Data Cleansing, Data Warehousing, Maintainability
Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Virtual Networking
Skills you'll gain: Model Deployment, Google Cloud Platform, Dataflow, Data Pipelines, Real Time Data, Data Lakes, PySpark, Apache Kafka, Tensorflow, Data Governance, Apache Spark, Dashboard, Data Warehousing, Data Import/Export, Data Processing, Extract, Transform, Load, Unstructured Data, Data Integration, Operational Databases, Big Data
Skills you'll gain: Disaster Recovery, Terraform, Infrastructure as Code (IaC), Business Continuity Planning, Capacity Management, Business Continuity, Data Infrastructure, Data Warehousing, Cost Management, Performance Analysis, Data Architecture, Benchmarking, IT Infrastructure, Cloud Deployment, AWS CloudFormation, Cloud Computing Architecture, Automation
Google Cloud
Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, Dataflow, PostgreSQL, Identity and Access Management, Cloud Deployment, Data Migration, Cloud Management, Cloud Security, Cloud Applications, Operational Databases, Database Design, Database Management
In summary, here are 10 of our most popular data engineering courses
- Data Visualization with Python & R for Engineers:Â Northeastern University
- Data Acquisition, Risk, and Estimation:Â University of Colorado Boulder
- Defining, Describing, and Visualizing Data:Â University of Colorado Boulder
- NVIDIA: Prompt Engineering and Data Analysis:Â Whizlabs
- Analytics Engineering Workflows with dbt:Â Edureka
- Developing Data Products:Â Johns Hopkins University
- Se préparer à devenir Professional Data Engineer: Google Cloud
- Build & Transform Data Pipelines:Â Coursera
- Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate:Â Whizlabs
- Data Engineer, Big Data and ML on Google Cloud en Français: Google Cloud
