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Optimizing R Code with Rcpp
Use C++ to dramatically boost the performance of your R code.
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Parallel Programming in R
Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.
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Defensive R Programming
Learn defensive programming in R to make your code more robust.
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Intermediate Functional Programming with purrr
Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
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Python for MATLAB Users
Transition from MATLAB by learning some fundamental Python concepts, and diving into the NumPy and Matplotlib packages.
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Intermediate Julia
Take your Julia skills to the next level with our intermediate Julia course. Learn about loops, advanced data structures, timing, and more.
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Foundations of Functional Programming with purrr
Learn to easily summarize and manipulate lists using the purrr package.
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Case Studies: Building Web Applications with Shiny in R
Practice your Shiny skills while building some fun Shiny apps for real-life scenarios!
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R For SAS Users
Learn how to translate your SAS knowledge into R and analyze data using this free and powerful software language.
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Parallel Programming with Dask in Python
Learn how to use Python parallel programming with Dask to upscale your workflows and efficiently handle big data.
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Python for R Users
This course is for R users who want to get up to speed with Python!
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Developing R Packages
Learn to develop R packages and boost your coding skills. Discover package creation benefits, practice with dev tools, and create a unit conversion package.
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Programming Paradigm Concepts
Explore a range of programming paradigms, including imperative and declarative, procedural, functional, and object-oriented programming.
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Object-Oriented Programming with S3 and R6 in R
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
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Intermediate Object-Oriented Programming in Python
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
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Foundations of Git
Discover the fundamentals of Git for version control in your software and data projects.
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Introduction to Python in Power BI
Learn how to use Python scripts in Power BI for data prep, visualizations, and calculating correlation coefficients.
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Introduction to Julia
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
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Introduction to Scala
Begin your journey with Scala, a popular language for scalable applications and data engineering infrastructure.
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Intermediate Docker
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
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Building Web Applications with Shiny in R
Shiny is an R package that makes it easy to build interactive web apps directly in R, allowing your team to explore your data as dashboards or visualizations.
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Introduction to R for Finance
Learn essential data structures such as lists and data frames and apply that knowledge directly to financial examples.
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Intermediate Python for Finance
Build on top of your Python skills for Finance, by learning how to use datetime, if-statements, DataFrames, and more.
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DevOps Concepts
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.