In the early days of film, directors referenced their knowledge of theater to visualize a screenplay. The camera was static. Actors walked in and out of the screen. The techniques that we now know are possible were yet to be developed. It would take time for film to become a medium in its own right.
In the modern day, we encounter online courses that feel like someone placed a camera in front of a lecturer. While this may work in person, it does not deliver on the promise of e-learning.
However, we believe we are entering a golden age. We do not need to recreate the lecture hall; we can design courses that take advantage of being online.
This is our approach with Academy, RStudio’s mentor-led data science apprenticeship for professional teams. Academy takes what we’ve learned from years of teaching to provide the most effective way to learn data skills online.
With Academy, we strived to go beyond the typical e-learning experience to provide what data scientists need to build skills with a new tool.
These features create an online environment that is:
We believe that these qualities are necessary for an effective e-learning environment, regardless of whether learners are in a classroom or at a laptop.
In addition to recognizing and combating the shortcomings of e-learning, we’ve also incorporated online advantages into Academy.
We are excited to provide data science teams with a learning experience that is the next frontier of online training.
Austin Chia, Founder of Any Instructor, describes his transition from studying biology to becoming a healthcare data analyst.
In this series, we walk through lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. The final post focuses on making your document look and work better.