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276 results for "parallel programming"
Coursera Project Network
Skills you'll gain: Computer Programming, R Programming
- Status: Free
Coursera Project Network
Skills you'll gain: Data Analysis, Data Visualization, Machine Learning, Python Programming, R Programming
Johns Hopkins University
Skills you'll gain: R Programming, Regression, Data Analysis, General Statistics, Statistical Analysis
University of California San Diego
Skills you'll gain: Probability & Statistics, Experiment, Statistical Tests, R Programming, Statistical Programming, Data Analysis, General Statistics, Probability Distribution, Regression, Statistical Analysis
- Status: Free
Universidade de São Paulo
Skills you'll gain: Graph Theory, R Programming, Data Science
Johns Hopkins University
Skills you'll gain: Data Analysis, Natural Language Processing, R Programming, Exploratory Data Analysis, Human Learning, Machine Learning, Machine Learning Algorithms, Problem Solving, Statistical Machine Learning, Computer Programming
University of Washington
Skills you'll gain: Machine Learning, R Programming
Coursera Project Network
Skills you'll gain: R Programming, Probability Distribution
Politecnico di Milano
Skills you'll gain: Computer Architecture, Hardware Design, Programming Principles
Coursera Project Network
Skills you'll gain: Data Analysis, R Programming
Coursera Project Network
Skills you'll gain: R Programming
Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Data Visualization, Exploratory Data Analysis, R Programming, SQL, Spreadsheet Software, Statistical Programming, Tableau Software
In summary, here are 10 of our most popular parallel programming courses
- Introduction to R: Basic R syntax:Â Coursera Project Network
- Build and deploy a stroke prediction model using R:Â Coursera Project Network
- Modeling Data in the Tidyverse:Â Johns Hopkins University
- Designing, Running, and Analyzing Experiments:Â University of California San Diego
- Redes Ecológicas: Universidade de São Paulo
- Data Science Capstone:Â Johns Hopkins University
- Practical Predictive Analytics: Models and Methods:Â University of Washington
- Using probability distributions for real world problems in R:Â Coursera Project Network
- Developing FPGA-accelerated cloud applications with SDAccel: Theory:Â Politecnico di Milano
- RStudio for Six Sigma - Process Capability:Â Coursera Project Network