Data Science Education is bad. There are a million people saying a million different things. Most “data scientists” doing the talking have no experience in the real world. Most programs suck. This makes learning data science a struggle. The sad fact is that most learners don’t succeed.
In this first episode of Learning Labs, we discuss how to how to learn R fast, and give you a 30-minute playbook for success.
We had 115 attendees on the LIVE recording. For those that weren’t able to make it, subscribe to Learning Labs for the next episode.
Get the slide deck from the Learning Lab. All resources are hyperlinked.
Special Course Offer
We want to help you go from Data Scientist Level 0 (Complete Beginner) to 10 (Advanced), accelerating your career in the process.
Here’s your Playbook for Success:
Beginner Course - DS4B 101-R - Business Analysis With R - Learn the fundamentals of data science including tidyverse, dplyr, ggplot2, purrr, broom, lubridate, stringr, forcats, tidyr, & rmarkdown all while solving a customer segmentation project and a new product pricing model project!
Intermediate/Advanced Course - DS4B 201-R - Data Science For Business With R - Cutting-edge machine learning course that solves a Churn Problem using H2O, LIME, recipes and the Business Science Problem Framework!
R-Track Bundle - Best Offer - Save $207 - Get both the 101 & 201 courses to go from Level 0 to 10 in minimal time. Best value!
Resources & Links
- The Ultimate R Cheat Sheet - Free Download
- How To Learn R, Part 1: Learn From A Master Data Scientist’s Code - Includes the 80/20 analysis
- 6 Reasons To Learn R For Business - Discusses Python & R showing why R is a great choice