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By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.Build robust, production-grade APIs with FastAPI, mastering HTTP operations, validation, and async execution to create efficient data and ML pipelines.
Learn to write cleaner, smarter Java code with methods, control flow, and loops.
Master Python testing: Learn methods, create checks, and ensure error-free code with pytest and unittest.
Level up your GitHub skills with our intermediate course on GitHub Projects, Administration, and advanced security features.
Master Git’s advanced features to streamline data science and engineering workflows, from complex merging to large-scale project optimization.
Learn to write faster R code, discover benchmarking and profiling, and unlock the secrets of parallel programming.
Learn about string manipulation and become a master at using regular expressions.
Take your R skills up a notch by learning to write efficient, reusable functions.
Master multi-stage builds, Docker networking tools, and Docker Compose for optimal containerized applications!
Build your OOP skills with descriptors, multilevel inheritance, and abstract base classes!
Bash scripting allows you to build analytics pipelines in the cloud and work with data stored across multiple files.
In this course, you will use T-SQL, the flavor of SQL used in Microsofts SQL Server for data analysis.
Learn key object-oriented programming concepts, from basic classes and objects to advanced topics like inheritance and polymorphism.
In this Introduction to DevOps, you’ll master the DevOps basics and learn the key concepts, tools, and techniques to improve productivity.
Learn to create your own Python packages to make your code easier to use and share with others.
Learn to work with Plain Old Java Objects, master the Collections Framework, and handle exceptions like a pro, with logging to back it all up!
Prepare for your next coding interviews in Python.
Manage the complexity in your code using object-oriented programming with the S3 and R6 systems.
Learn how to structure your PostgreSQL queries to run in a fraction of the time.
In this course, students will learn to write queries that are both efficient and easy to read and understand.
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.
Master SQL Server programming by learning to create, update, and execute functions and stored procedures.
Advance your Java skills by learning to handle files, process data, and build clean, reusable code using real-world techniques.
Learn to solve real-world optimization problems using Pythons SciPy and PuLP, covering everything from basic to constrained and complex optimization.
Use your knowledge of common spreadsheet functions and techniques to explore Python!
Learn the essentials of parsing, manipulating and computing with dates and times in R.
Learn how to write recursive queries and query hierarchical data structures.
Julia is a new programming language designed to be the ideal language for scientific computing, machine learning, and data mining.
Build real-world applications with Python—practice using OOP and software engineering principles to write clean and maintainable code.
This course is for R users who want to get up to speed with Python!