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  1. Introduction to R for Social Researchers
    A Practical Course on Data Preparation, Visualisation, and Statistical Analysis
    Alexandru Cernat

    Learn how to use R confidently for real social research. This hands-on course guides you through data wrangling in R, data visualisation in R, and core statistical methods using practical examples with real-world data. Build a solid R workflow you can apply to your own data right away.

  2. Software Architecture: Meta and SOLID Principles in C#
    Learn how to develop maintainable software systems applying Design Patterns based on Meta and SOLID Principles.
    EngineerSpock

    Do you want to write clean and maintainable applications in C#? Then this course is for you!

  3. Kotlin Coroutines
    Marcin Moskała

    Are you a Kotlin developer looking to explore how coroutines in Kotlin work and how you can use them to improve our applications – using both the built-in support and the kotlinx.coroutines library? Let me take you there!

  4. Double Your Coding Speed with Visual Studio and ReSharper
    Learn how to speed up the coding process in bear Visual Studio 2017 and VS empowered by ReSharper (R#).
    EngineerSpock

    Do you want to double your coding speed in Visual Studio with or without R#? Then this course is for you!

  5. Using openGUTS for survival analysis
    Short course introducing you to TKTD analyses of survival data with the user-friendly openGUTS software
    Tjalling Jager and Roman Ashauer

    Learn the basics of the GUTS framework, and how to apply it to analyse toxicity data and make risk predictions for field situations. This short on-line course guides you through the user-friendly openGUTS software (open source and freely downloadable Windows executable).

  6. R Programming for Data Science
    Roger D. Peng

    This course brings the fundamentals of R programming to you, using the same material developed as part of the industry-leading Johns Hopkins Data Science Specialization. The skills taught in this course will lay the foundation for you to begin your journey learning data science.

  7. Software Design: Functional Programming in C#
    Learn the principles of Functional Programming & how to apply them with the power of C# to improve software architecture.
    EngineerSpock

    Want to improve your skills in building software architecture through the functional design in C#? Then this course is for you!

  8. Multithreading and Parallel Programming in C#
    Overcome multithreading and asynchronous programming in C# problems & improve performance by parallel computing in C#.
    EngineerSpock

    Have problems with grasping multithreading programming in C#? Then this course is for you!

  9. Statistical inference for data science
    A companion to the Coursera Statistical Inference Course
    Brian Caffo

    This course gives a brief, but rigorous, treatment of statistical inference intended for practicing Data Scientists.

  10. DataTrail
    Data Trail

    DataTrail aims to equip individuals with the tools they need to enter the booming field of data science.

  11. Programming for Kids
    Ruby and Mac Edition
    Peter Armstrong

    This course teaches kids between 9 and 14 years old the basics of programming. You will need to use a Mac computer to follow along. The programs are short, so you can type them all in yourself. This is true even if you can't type well. (Leanpub authors: The GitHub repository for this course is here, if you want to see how to make Leanpub courses!)

  12. Your Python One-Liner Superpower
    Mini-Course 1: Python Tricks
    Finxter and Lukas Rieger

    Python One-Liners will teach you how to read and write “one-liners”: concise statements of useful functionality packed into a single line of code. You'll learnhow to systematically unpack and understand any line of Python code, and write eloquent, powerfully compressed Python like an expert.

  13. Advanced Kotlin
    Marcin Moskała

    Do you know how to use Kotlin and its advanced features, which could enhance your efficiency? What are the consequences or limitations of commonly used advanced features? If your answer is "I'm not sure" or "I don't know," then this course is for you.

  14. Long term Product Goals for creating superior products
    How to create and use product goals, product vision, north stars and true norths to deliver winning products
    Allan Kelly

    What does your product want to be when it grows up?Every product needs a North Star, a True North or Product Goal to unify thinking, planning and decision making. Learn what they are, why you should have one and, most importantly, how to create one.

  15. Medical Statistics - Level 1
    Probability, Descriptive & Inferential Statistics, Correlation & Linear Regression
    Fatai Akemokwe, Afelemo Orilade, and Nyemike Awunor

    WARNING: This course contains a few bad puns, some awkward clichés and many mixed metaphors.It is intended to drive the fear out of medical statistics and drive out the fear of medical statistics.The course content is much easier to understand than this warning.