[av_heading tag='h1' padding='10' heading='Introduction to R Visualizations with Power BI' color='' style='blockquote modern-quote modern-centered' custom_font='' size='40' subheading_active='' subheading_size='15' custom_class=''][/av_heading]
[av_heading tag='h1' padding='10' heading='Introduction to R Visualizations with Power BI' color='' style='blockquote modern-quote modern-centered' custom_font='' size='40' subheading_active='' subheading_size='15' custom_class=''][/av_heading]
Topics: Data Visualization, Data Science & Engineering, ggplot2, Power BI, R Programming, analytics, dplyr
In February I had the privilege of traveling to Amsterdam to teach a great group of folks Data Science. As is so often the case, I felt I learned as much from the students as they learned from me. For example, one of the students asked for some R programming assistance in the area of Data Wrangling and Feature Engineering. The scenario in question really intrigued me. I knew how I could solve the problem using traditional non-functional programming techniques (e.g., using for loops), but I was looking for something more elegant.
Topics: Data Science & Engineering, Feature Engineering, Predictive Modeling, R, R Programming, Data Wrangling, dplyr, Fundamentals
The headline and subheader tells us what you're offering, and the form header closes the deal. Over here you can explain why your offer is so great it's worth filling out a form for.
Remember: