Advanced Tools and Techniques Beyond Base R introduces a number of recently developed R packages and paradigms, in particular the concept of tidy data and the Tidyverse collection of packages, which are rapidly becoming indispensable to R data analysts. You will learn how to efficiently process and analyze data in ways not possible with base R and produce high-quality statistical graphics. The course will finish with a taste of how functional programming and meta-programming with R can simplify and speed up your data analysis code.
Python 101 is a comprehensive course covering all core concepts of Python starting from scratch. It also covers using Python with databases, multi dimensional arrays with NumPy module and Series and DataFrames using Pandas module. All the lectures are taught with lots of practical examples using iPython notebooks. Course consists of over 110 lectures and 17 hours of video classes. All sections include downloadable practice code and quizzes.
This course lays the foundation from which you can begin using Python to solve any problem - whether in Data Analysis, Machine Learning or Web Development. It gives you a fundamental understanding of Python loops, data structures, functions, classes and more to help you solve basic programming tasks so that you can confidently apply those skills to solve real problems. The course assumes zero prior experience with Python, though some fundamental knowledge of programming is recommended.