R Programming Fundamentals
Learn how to program for effective data analysis using current data science methodologies with R, a powerful open-source programming language and environment.
Phil Sampson
- Instructor
Offered by
Offered by
Description
Just starting in the data science field and looking to become a better analyst? Seeking additional knowledge to gain a competitive edge in the market? Learn how to program for effective data analysis using current data science methodologies with R, a powerful open-source programming language and environment.
Complete working R code will be presented. Hands-on, instructor-led exercises will reinforce participants’ abilities and confidence with R. At the end of this course you will be able to bring various files into the software application, manipulate the information therein, conduct exploratory analysis to better understand what questions to ask, and transform the data into beautiful visualizations to quickly determine answers to very complex questions.
- Online
- Intakes: On Demand
What you will Learn
- R and the syntax that makes it powerful for statistics, machine learning, and analytics
- Generic use programming language concepts as they are implemented throughout R’s high-level statistical language
- Practical solutions for everyday questions in wrangling data, reading data in various formats, accessing third party packages to reduce time having to write code, writing mathematical functions, debugging and troubleshooting, organizing files/saved work and commenting R code
Meet your Instructor
Phil Sampson is currently running the gambit as a Lead Data Scientist Manager for a large global consulting firm and stationed here in Huntsville.
He has used R in various aspects throughout his career; from data cleaning to machine learning algorithms.
He has been teaching in different positions for over 17 years and looks forward to simplifying complex subject matter into easily understood concepts for others.
Since his Armed Forces retirement as an Explosive Ordnance Disposal (EOD) technician, he has continued to serve as an advanced improvised electronics project lead, master trainer, Senior ERP/Business Analyst level V, data analyst, black/white box agile software tester, Data Scientist and culminating everything together as a Data Scientist Manager.