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276 results for "parallel programming"
Johns Hopkins University
Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Statistical Analysis, Computer Programming, Exploratory Data Analysis, General Statistics, Problem Solving, Data Analysis Software, Probability & Statistics, Computer Programming Tools, Critical Thinking, Programming Principles, Statistical Tests, Data Management, Data Structures, Statistical Machine Learning, Basic Descriptive Statistics, Algorithms, Data Model, Human Learning, Machine Learning, Machine Learning Algorithms, Process Analysis, Correlation And Dependence, Data Visualization, Data Visualization Software, Plot (Graphics), Regression, Computer Graphics, Applied Machine Learning, Big Data, Computational Thinking, Data Mining, Estimation, Extract, Transform, Load, Probability Distribution, Databases, Interactive Data Visualization, Machine Learning Software, Communication, Computer Graphic Techniques, Knitr, Natural Language Processing, Visualization (Computer Graphics), Interactive Design, Product Development
University of Amsterdam
Skills you'll gain: Probability & Statistics, Statistical Tests, General Statistics, Correlation And Dependence, Statistical Programming, Basic Descriptive Statistics, Statistical Analysis, Research and Design, Data Analysis, Regression, Adaptability, Computational Thinking, Critical Thinking, People Analysis, Theoretical Computer Science, Writing, Probability Distribution, Problem Solving, R Programming, Exploratory Data Analysis, Experiment, Computer Programming
Skills you'll gain: Computer Programming, Data Analysis, Data Analysis Software, Programming Principles, R Programming, Computer Programming Tools, Data Structures, Statistical Programming, Regression, System Programming, Data Science
Johns Hopkins University
Skills you'll gain: R Programming, Statistical Programming, Data Analysis, Exploratory Data Analysis, Basic Descriptive Statistics, Computer Programming
University of Washington
Skills you'll gain: Python Programming, SQL, Computer Programming
University of California, Santa Cruz
Skills you'll gain: Probability & Statistics, Bayesian Statistics, Probability Distribution, General Statistics, Statistical Analysis, R Programming, Statistical Programming, Mathematics, Regression, Data Analysis, Estimation, Statistical Tests, Machine Learning, Markov Model, Forecasting
- Status: Free
The State University of New York
Skills you'll gain: Probability & Statistics, General Statistics, Correlation And Dependence, R Programming, Statistical Analysis, Data Analysis, Forecasting, Statistical Visualization, Statistical Programming, Plot (Graphics)
Johns Hopkins University
Skills you'll gain: Correlation And Dependence, General Statistics, Probability & Statistics, R Programming, Regression, Statistical Analysis, Statistical Programming, Data Analysis, Data Model, Problem Solving
Skills you'll gain: Data Science, R Programming, Cloud Computing, Computer Programming, IBM Cloud, Python Programming
Skills you'll gain: Apache, Big Data, Machine Learning, Human Learning, Machine Learning Algorithms, Data Science
Skills you'll gain: Python Programming, Data Science, Machine Learning, Data Analysis, Algorithms, Data Analysis Software, Data Management, Data Visualization, Human Learning, R Programming, Computational Thinking, Computer Programming, Database Application, Databases, Deep Learning, Exploratory Data Analysis, Machine Learning Algorithms, Plot (Graphics), Professional Development, SQL, Data Model, Statistical Machine Learning, General Statistics, Probability & Statistics, Regression, Reinforcement Learning, Big Data, Cloud Computing, Data Mining, IBM Cloud, Writing
Duke University
Skills you'll gain: Data Analysis, General Statistics, Probability & Statistics, Regression, Statistical Analysis, Statistical Tests, Correlation And Dependence, Plot (Graphics), Problem Solving, R Programming
In summary, here are 10 of our most popular parallel programming courses
- Data Science:Â Johns Hopkins University
- Methods and Statistics in Social Sciences:Â University of Amsterdam
- Introduction to R Programming for Data Science:Â IBM
- The R Programming Environment:Â Johns Hopkins University
- Data Manipulation at Scale: Systems and Algorithms:Â University of Washington
- Bayesian Statistics:Â University of California, Santa Cruz
- Practical Time Series Analysis:Â The State University of New York
- Regression Models:Â Johns Hopkins University
- Tools for Data Science:Â IBM
- Scalable Machine Learning on Big Data using Apache Spark:Â IBM