Filter by
The language used throughout the course, in both instruction and assessments.
Results for "data pipelines"
Skills you'll gain: Extract, Transform, Load, Apache Airflow, Data Pipelines, Apache Kafka, Data Warehousing, Data Transformation, Data Migration, Web Scraping, Data Integration, Shell Script, Real Time Data, Data Mart, Big Data, Performance Tuning, Databases, Scalability
DeepLearning.AI
Skills you'll gain: Extract, Transform, Load, Data Pipelines, Data Import/Export, Tensorflow, Data Processing, MLOps (Machine Learning Operations), Data Transformation, Data Sharing, Data Management, Data Validation, Performance Tuning
Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Databases, Performance Tuning, Data Pipelines, Database Systems, Data Integrity, Business Intelligence, Data Mart, Data Validation, Data Quality, SQL, Data Transformation, Performance Testing
Google Cloud
Skills you'll gain: Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Integration, Data Processing, Apache Hadoop, Apache Spark, Big Data, Data Transformation, Cloud Computing, Cloud Services
Skills you'll gain: Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Storage Technologies, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, Data Mart, Data Security
- Status: [object Object]
Skills you'll gain: NoSQL, Data Warehousing, SQL, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, IBM Cognos Analytics, MySQL, Apache Spark, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Jupyter, Generative AI, Professional Networking
Skills you'll gain: Data Lakes, Data Warehousing, Google Cloud Platform, Data Infrastructure, Cloud Storage, Data Pipelines, Big Data, Cloud Services, Cloud Computing, Scalability, SQL
Duke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plotly, Data Pipelines, Kubernetes, Matplotlib, Data Engineering, Apache Spark, Dashboard, Virtualization, MLOps (Machine Learning Operations), Cloud Engineering, Apache Hadoop
DeepLearning.AI
Skills you'll gain: Apache Airflow, Data Pipelines, Data Integration, AWS Kinesis, Infrastructure as Code (IaC), Terraform, Extract, Transform, Load, Apache Kafka, Amazon CloudWatch, Data Quality, Amazon Web Services, CI/CD, Data Processing, Data Transformation, Database Systems, MySQL, Network Troubleshooting
Duke University
Skills you'll gain: PySpark, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Data Architecture, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, Data Management, DevOps, Data Manipulation, Distributed Computing, SQL
Skills you'll gain: Jupyter, Automation, Web Scraping, Python Programming, Data Manipulation, Data Import/Export, Scripting, Data Structures, Data Processing, Data Collection, Application Programming Interface (API), Pandas (Python Package), Programming Principles, NumPy, Object Oriented Programming (OOP), Computer Programming
Skills you'll gain: Data Wrangling, Data Cleansing, Data Analysis, Data Manipulation, Data Transformation, Data Import/Export, Exploratory Data Analysis, Predictive Analytics, Statistical Analysis, Regression Analysis, Predictive Modeling, Pandas (Python Package), Scikit Learn (Machine Learning Library), Statistical Modeling, Machine Learning Methods, Feature Engineering, Python Programming, Data Pipelines, NumPy
Searches related to data pipelines
In summary, here are 10 of our most popular data pipelines courses
- ETL and Data Pipelines with Shell, Airflow and Kafka: IBM
- Data Pipelines with TensorFlow Data Services: DeepLearning.AI
- The Path to Insights: Data Models and Pipelines: Google
- Building Batch Data Pipelines on Google Cloud: Google Cloud
- Introduction to Data Engineering: IBM
- IBM Data Engineering: IBM
- Modernizing Data Lakes and Data Warehouses with Google Cloud: Google Cloud
- Applied Python Data Engineering: Duke University
- Source Systems, Data Ingestion, and Pipelines: DeepLearning.AI
- Spark, Hadoop, and Snowflake for Data Engineering: Duke University