Learning Path: Step-By-Step Programming With Python And R

Basic understanding of programming languages
Designed for developers who want to understand Python and R from scratch

Get to know Python’s data structures to enhance good design patterns and scalability to your code
Get to grips with the basics of operating in a Python development environment
Create functions in Python to provide programs with better modularity
Build Python packages to efficiently create reusable code
Handle high I/O loads with asynchronous I/O to get a smoother performance
Take advantage of Python's metaprogramming and programmable syntax features
Create and master the manipulation of vectors, lists, dataframes, and matrices in R
Write readable and expressive R code using pipes from magrittr and dplyr’s verbs
Work on a full-scale data analysis / data munging project
Get an in-depth view of linear and non-linear regression modeling
Build R packages from scratch and submit them to CRAN

If you are looking to start your data science career, or are already familiar with data science, statistics, and machine learning concepts, but want to switch to R, this Video Learning Path will be a great place to start.
The Learning Path follows a pragmatic approach where you’ll find step-by-step instructions of the functions, tools, and concepts, and the reason you’re learning about them. Most of the videos close with coding challenges, putting your newly learned skills into practical use immediately. You’ll get hands-on working sessions and detailed explanations.

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• High Priority Support After Sales.
• Big Discounts on Individual Courses