Finance in R with tidyquant - New Learning Lab 1-Hour Course
Written by Matt Dancho
We have 2 announcements:
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Special Delivery to LL Pro Members - We have just released a NEW Learning Lab “1-Hour Course” - Finance in R with tidyquant
- Available in Learning Labs PRO). Learn how to performance Stock Analysis and Portfolio Optimization using the tidyquant
package.
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Spcecial Delivery for Everyone - Next Learning Lab Announcement - We are going to teach you how to Productionalize Machine Learning models with plumber
API’s. You can Register Here! (Registration is open until May 22nd)
Tidyquant Course - You Create This Optimized Portfolio
Optimize 250 Portfolios in this Learning Lab 1-Hour Course
What are Learning Labs PRO “1-Hour Courses”?
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High-impact, super-efficient courses that teach you exactly what you need to know with the 80/20 Rule in full effect!
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We release a new Learning Lab “1-Hour Course” every 2-weeks.
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You learn in bite-size chunks on your schedule!
Join Learning Labs PRO for $19/Month
Learn Finance in R with tidyquant
The “1-Hour Course” agenda encompasses a crystal clear path to teach you exactly what you need to know about Finance with R and FAST!
Course Agenda - What You Learn - FAST
Here’s what you get in 1-hour (fast and effective)
Get the Code!
You get the code using tidyquant
to perform a portfolio optimization of 250 portfolio combinations.
Get the Code to Genarate this 3D Plot
Begin Learning for $19/Month
Coming May 22nd - Build API’s with Plumber!
We’ve just announced our next Learning Lab topic - Building Web API’s with plumber
. Register today!
Coming Wednesday, May 22nd - Building API's with Plumber
How do you take Machine Learning Models into Production?
There are a number of ways - One really good option is by creating an API. API’s enable Web Applications to authenticate and connect to your machine learning models.
In this Business Science Learning Lab 1-Hour Course, you will learn how to create a web API with a machine learning model in R using plumber
.
Register Here - Open (until May 22, 2019)