Results for "data parallelism"
Status: NewStatus: Free TrialSkills 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
Status: Free TrialUniversity 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
Status: NewStatus: Free TrialCoursera
Skills you'll gain: Data Flow Diagrams (DFDs), Diagram Design, Data Mapping, Data Literacy, Data Pipelines, Data Visualization, Dataflow, Data Presentation, Technical Communication, Data Store, Data Processing, Data Transformation
Status: NewStatus: Free TrialUniversity 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
Status: Free TrialRice 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
Status: Free TrialUniversity 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
What brings you to Coursera today?
Status: Free TrialSkills you'll gain: Dashboard, Web Scraping, SQL, Descriptive Statistics, Data Visualization, Statistical Analysis, Jupyter, Probability Distribution, Data Analysis, Statistics, Statistical Hypothesis Testing, Data Science, Statistical Programming, Relational Databases, Stored Procedure, R Programming, Data Import/Export, Programming Principles, Data Analysis Software, Python Programming
Status: Free TrialJohns 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
Status: NewStatus: Free TrialSkills 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
Status: NewStatus: Free TrialSkills you'll gain: Apache Spark, Distributed Computing, PySpark, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing
Status: NewStatus: Free TrialSkills 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
Status: Free TrialDuke University
Skills you'll gain: Data Visualization Software, PySpark, Data Visualization, Data Storytelling, Statistical Visualization, Site Reliability Engineering, Docker (Software), Databricks, Containerization, Interactive Data Visualization, Plot (Graphics), Plotly, Data Pipelines, Matplotlib, Kubernetes, Apache Spark, Apache Hadoop, Big Data, Data Science, Python Programming
In summary, here are 10 of our most popular data parallelism courses
- Modern Data Architecture & Lakehouse Engineering: Coursera
- High-Performance and Parallel Computing: University of Colorado Boulder
- Map Data Flows Fast: Coursera
- Cloud Computing for Data Science: University of Pittsburgh
- Parallel, Concurrent, and Distributed Programming in Java: Rice University
- Foundations of Data Structures and Algorithms: University of Colorado Boulder
- Data Science Fundamentals with Python and SQL: IBM
- Data Visualization: Johns Hopkins University
- Advanced SQL for Data Pipeline Optimization: Coursera
- Fix Data Bottlenecks: Optimize Spark Performance: Coursera
