About
This is the outline for Session 1 of the five session series of GARP YYC Data Science Labs for Risk Managers and Trading Professionals ^©^
- Topic: R basics for Trading and Risk Management
- Meeting Date: TBD
- Physical Location: TBD
- Virtual Location: TBD
GARP YYC Data Science Lab is a Hybrid Real and Virtual event that will cover topics related to Data Science and Trading/Risk Management. The intent of the meeting is to create a virtual environment for the participants to continue their discussions even after the live meeting is over.
This meeting is organized by GARP Calgary and with the support of GARP.
- To learn more about GARP please visit GARP Website
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About me: My Name is Nima Safaian, ERP. I am the organizer of the Data Science Series for GARP Calgary. Please find me on social media: Github Linkedin Twitter Google+
Meeting Logistics and Setup
- For Live Questions Please Use: twitter handle: #garpyyc
- Use Google+ and Comment Section of the Page for after the meeting
Please have R and Rstudio Installed on your Laptop if you want to follow the meeting in the live session.
(1) Google+: If you are on Google+ you can directly participate in this event from Google+ by Clicking on Big Data YYC. Or alternatively you can watch the meeting by scrolling down in this page.
(2) Github The files used in this session are located in the Github
(3) R and R Studio In order to follow the session
+ Install R
+ Install Rstudio
Audiance
The intended Audience for this meeting are:
- Trading Professionals
- Risk Managers
- Trading Analyst
- Finance Professionals
While not required, some exposure to analytic tools such as R, Python, Matlab, SAS, and etc… will be useful. Most of material will use R and tools in the R ecosystem.
Background
There are number of really interesting R resources and courses you can use to get up-to-speed with the material covered in this session:
- General Information about R: (1) Data Camp (2) Coursera Data Scientist Tool Box
- Learning tidyr & dplyr: dplyr Basics & data wrangelinng cheat sheet
- Learning ggplot2: ggplot2 basics and ggplot2 cheatsheet
Objectives
(1) Getting Started R Package
(2) Brief introduction to R Packages
(3) R Data Structure
(4) Accessing Data using Web APIs
(5) Data Munging Using dplyr
(6) Data Visualization Using ggplot2