Results for "data parallelism"
University of Colorado Boulder
Skills you'll gain: Theoretical Computer Science, Algorithms, Graph Theory, Data Structures, Operations Research, Public Key Cryptography Standards (PKCS), Cryptography, Programming Principles, Computational Thinking, Pseudocode, Design Strategies, Computer Science, Tree Maps, Encryption, Linear Algebra, Combinatorics, Data Science, Mathematical Modeling, Advanced Mathematics, Python Programming
Skills you'll gain: Data Pipelines, Data Integration, Data Lakes, Apache Airflow, Performance Tuning, Data Security, Data Transformation, Apache Spark, Disaster Recovery, Data Warehousing, Cloud Infrastructure, SQL, Infrastructure as Code (IaC), Database Architecture and Administration, PySpark, Terraform, Extract, Transform, Load, Data Architecture, Cloud Computing, Data Governance
University of Colorado Boulder
Skills you'll gain: Hardware Architecture, Bash (Scripting Language), Distributed Computing, Scalability, Computer Systems, File I/O, Big Data, Operating Systems, File Systems, Scripting, Command-Line Interface, C and C++, Performance Tuning, Computer Programming Tools, Linux, Load Balancing, Programming Principles, Communication Systems, Linear Algebra
Rice University
Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Cloud Computing, Apache Spark, Web Services, Cloud Services, Cloud Computing Architecture, Cloud Infrastructure, PySpark, Cloud Applications, Cloud Platforms, Data Pipelines, Google Cloud Platform, Distributed Computing, Data Processing, Cloud Storage, Docker (Software), Virtualization, Containerization, Restful API, Data Architecture
Skills you'll gain: Database Design, Performance Tuning, Data Warehousing, Apache Spark, Data Architecture, SQL, Query Languages, Data Transformation, Disaster Recovery, Database Management, PySpark, Infrastructure as Code (IaC), Cloud Computing Architecture, Distributed Computing, Scalability, Data Pipelines, Performance Analysis, Root Cause Analysis, Cost Management, Resource Management
What brings you to Coursera today?
Tsinghua University
Skills you'll gain: Data Structures, Algorithms, Graph Theory, Vector Databases, Computational Thinking, Database Design, Theoretical Computer Science, Programming Principles, Pseudocode, Query Languages, Computer Science, Computer Programming, Performance Tuning
École Polytechnique Fédérale de Lausanne
Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Scalability, Java Programming, Other Programming Languages, Performance Tuning
Skills you'll gain: Scala Programming, Data Pipelines, Test Driven Development (TDD), Apache Airflow, Data Lakes, Apache Spark, CI/CD, Apache Kafka, Data Quality, Data Infrastructure, Cloud Engineering, Data Architecture, Performance Tuning, Unit Testing, Data Transformation, Data Processing, Data Validation, Real Time Data, Big Data, Data Integrity
Johns Hopkins University
Skills you'll gain: Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Geospatial Information and Technology, Data Presentation, Color Theory, Graphic and Visual Design, Data Visualization, Tree Maps, Visualization (Computer Graphics), Data Storytelling, Design Elements And Principles, Plot (Graphics), Data Literacy, Heat Maps, Computer Displays, Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Mapping, Display Devices
Skills you'll gain: Apache Spark, Distributed Computing, PySpark, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing
Skills you'll gain: Data Pipelines, Data Validation, SQL, Extract, Transform, Load, Data Transformation, JSON, Data Processing, Database Management, Data Mart, Data Warehousing, Data Integration, Star Schema, Performance Tuning, Data Quality, Verification And Validation, Dashboard, Systems Integration, Dimensionality Reduction
In summary, here are 10 of our most popular data parallelism courses
- Foundations of Data Structures and Algorithms: University of Colorado Boulder
- Modern Data Architecture & Lakehouse Engineering: Coursera
- High-Performance and Parallel Computing: University of Colorado Boulder
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Cloud Computing for Data Science: University of Pittsburgh
- Performance Engineering for Data Systems: Coursera
- Data Structures and Algorithms: Tsinghua University
- Parallel programming: École Polytechnique Fédérale de Lausanne
- Data Engineering with Scala and Spark: Packt
- Data Visualization: Johns Hopkins University
