Results for "task parallel library (.net framework) data science"
Rice University
Skills you'll gain: Java Programming, Dataflow, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Performance Testing, Functional Design, Graph Theory
University of Pittsburgh
Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, File Systems, Data Science, Data Transformation, Information Technology, Data Analysis
Skills you'll gain: Apache Kafka, Real Time Data, Apache Spark, Data Pipelines, PySpark, Scalability, Live Streaming, Data-Driven Decision-Making, Data Lakes, Data Integration, Fraud detection, Data Processing, Event Monitoring, Data Transformation, JSON, Event Management
Skills you'll gain: AWS SageMaker, Exploratory Data Analysis, Feature Engineering, Dashboard Creation, Interactive Data Visualization, Data Presentation, Model Evaluation, Data Visualization, Data Pipelines, Project Documentation, Solution Delivery, Data Storytelling, Amazon Web Services, Data Analysis, Technical Documentation, Business Intelligence, Cloud Infrastructure, Technical Communication, Automation, Project Management
Skills you'll gain: Apache Spark, Distributed Computing, Data Pipelines, Performance Tuning, Scalability, Debugging, Performance Analysis, Data Processing
Skills you'll gain: Performance Analysis, Performance Testing, Performance Measurement, Benchmarking, Data Modeling, Analysis, Data Processing, Extract, Transform, Load, Statistical Analysis
Skills you'll gain: Apache Spark, PySpark, Applied Machine Learning, Big Data, Machine Learning Methods, Data Storage Technologies, Statistical Machine Learning, Data Preprocessing, Data Storage, Data Pipelines, Machine Learning Algorithms, Machine Learning, Data Processing, Data Science, Model Evaluation, Descriptive Statistics
Logical Operations
Skills you'll gain: NumPy, Data Transformation, Data Manipulation, Data Cleansing, Jupyter, Data Processing, Data Analysis, Data Science, Data Import/Export, Python Programming, Data Management, Virtual Machines, Virtualization and Virtual Machines, Computer Programming, Computer Programming Tools, Software Development
Skills you'll gain: Dataflow, Serverless Computing, Identity and Access Management, Data Pipelines, Google Cloud Platform, Cloud Security, Data Processing, Data Security, Cloud Storage, Containerization, Interoperability
University of California San Diego
Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Big Data, Data Pipelines, Data Processing, Data Management, NoSQL, Database Management Systems, Analytics, Splunk, Database Systems, MongoDB, Pandas (Python Package), Query Languages, PostgreSQL
Skills you'll gain: PySpark, Apache Hadoop, Apache Spark, Big Data, Apache Hive, Analytics, Data Processing, Distributed Computing, Debugging, Java Programming
Skills you'll gain: .NET Framework, Performance Tuning, Debugging, Health Informatics, Performance Testing, C# (Programming Language)
In summary, here are 10 of our most popular task parallel library (.net framework) data science courses
- Parallel Programming in Java: Rice University
- Big Data Processing with Hadoop and Spark: University of Pittsburgh
- Process Real-Time Data with Spark Streams: Coursera
- Building a Real-World Data Science Solution : Coursera
- Fix Data Bottlenecks: Optimize Spark Performance: Coursera
- Automate, Optimize, and Benchmark Data Pipelines: Coursera
- Scalable Machine Learning on Big Data using Apache Spark: IBM
- Python Data Science: NumPy: Logical Operations
- Serverless Data Processing with Dataflow: Foundations: Google Cloud
- Big Data Integration and Processing: University of California San Diego
