Series Schedule
Jul 19
16:00 MDT
R Coding Introduction
SESSION 1
Jul 20
16:00 MDT
Functions & Pivoting Data With dplyr
SESSION 2
Jul 21
16:00 MDT
Data Viz With ggplot2 & Next Steps
SESSION 3
What's Included in the Training
Convenience
This course is taught over 3 consecutive weekdays. Get R skills and have a life!
May 17th - 6:00 to 9:00 PM Eastern Time
May 18th - 6:00 to 9:00 PM Eastern Time
May 19th - 6:00 to 8:00 PM Eastern Time
A focus on students
Each class session includes office hours with Dave for questions.
NOTE - This is a live training course and there is an expectation of student attendance. As such, no replays of lectures are available.
Lifetime value
Lifetime access to the online version of R Programming Made Easy (a $249 value) is included with this virtual training.
BTW - I answer all online student questions. This means you have lifetime access to me for your R questions. 😉
Hands-on skills
To learn R programming you must write code. You will write R code via hands-on exercises and labs. Yes, there will be homework.
Unlock advanced analytics
R programming is the easiest, fastest way for ANY professional to unlock advanced analytics like machine learning with their business data.
Piece of mind
You can cancel your enrollment up to 10 days before the first session for a full (less payment processing fees) refund.
Got questions?
Feel free to contact Dave with any questions you may have.
Your Instructor
Dave Langer is the founder of Dave on Data where he crafts and delivers training designed for ANY professional to develop valuable data analysis skills. Dave's vision is a world where data analysis skills are as common as skills with Microsoft Office.
Dave has successfully trained 100s of professionals in a live classroom setting and 1000s more via his online courses and tutorials. Dave is a hands-on analytics artisan, having used the combination of Excel, SQL, and R to deliver insights that drove business strategy at companies like Schedulicity, Data Science Dojo, and Microsoft.
Dave holds a BA in economics and a MS in computer science from the University of Washington.