A class for computer-literate people with no programming background who wish to learn basic about Tableau.
This course offers an accelerated intensive learning experience with Tableau – the growing standard in business intelligence for data visualization and dashboard creation. Without prior experience, students will learn to work with multiple data sources, create compelling visualizations, and roll out their data science products for continuous, scalable outputs to key stakeholders. By building insight and weaving narrative, students will be empowered to harness data in a striking way that provides value to organizations large and small.
We do not offer this course at this moment. Please join our waiting list to be notified when it becomes available again.
Prerequisites
Know how to use Mac, Windows. Familiarity with relational databases will be nice but not required:
gain a greater appreciation for the logic underlying Tableau’s features
utilize their capstone project to visualize ‘big data’ by accessing a variety of server- or cloud-based sources
Before the course begins, pre-work will be available for students interested in strengthening their ability to access and extract data from relational databases (e.g. SQL-based servers).
I attended the Introductory Python course. I really enjoyed this class and after just one month I feel like I have strong foundation of Python. (I had no coding experience prior taking the course). Classes were a combination of theory and practice. Anthony<span class="read-more"> Schultz did a great job with covering all necessary course material and making it interesting and funny!
Our instructors are consistently highly rated by their students. They not only know their subject cold, they are experts at teaching you.
Our curriculum is continuously updated to reflect the latest technology trends.
Learn on the latest technology. When you complete this course, you will have a solid foundation in python and the use of the tools.
Wes Aull
DATA SCIENCE INSTRUCTOR
Wes Aull, CPA works as a data scientist/portfolio manager at Economic(a). His research interests include data visualization, time series & harmonic analysis, Bayesian & directional statistics, stochastic processes, and optimization problems. He earned his M.B.A. from Columbia Business School, Master’s of Professional Accounting from University of Texas-Austin, and B.S. Mathematical Economics from University of Kentucky.
Know how to use Mac, Windows. Familiarity with relational databases will be nice but not required:
Certificates are awarded at the end of the program at the satisfactory completion of the course. Students are evaluated on a pass/fail basis for their performance on the required homework and final project (where applicable). Students who complete 80% of the homework and attend a minimum of 85% of all classes are eligible for the certificate of completion.