Models of virus growth are in the news, and this week we take a closer look at the modeling of epidemics, and introduce our newest course:
- June 12 to July 10 Analyzing and Modeling Covid-19 Data
We’ll cover analysis of covid data broadly, and focus on the epidemiological and statistical models used to forecast the spread of the pandemic.
See you in class!
– Peter Bruce
Founder, Author, and Senior Scientist
COVID 19 Models Update
Early on in the Coronavirus epidemic, one model forecast possible deaths at over 2 million. Shortly thereafter, another widely followed model forecast deaths at over 200,000, but then revised it successively downward to the point where the forecast is for about 75,000 deaths. Learn how models can produce such different results […]
Word of the Week
For infectious diseases, R0 (R-nought) is the unimpeded replication rate of the disease pathogen in a naive (not immune) population. An R0 of 2 means that each person with the disease infects two others. Some things to keep in mind […]
Training A Team
Is your firm taking advantage of the economic downturn to catch up on training & skill development? If you have a team that could benefit from custom training in analytics and data science, online or in-person, please contact Janet Dobbins at firstname.lastname@example.org, and tell her how many people would be involved in the training and what the goals are.
To help sharpen your understanding of what we can do for your training program, while supplies last, we’ll offer you a free copy of:
Mining Your Own Business: A non-technical primer on how organizations bridge the gap between technically-valid data science models and actual deployment success, by Gerhard Pilcher and Jeff Deal, CEO and COO, respectively, of Elder Research.
Just email Janet Dobbins at email@example.com, and tell her which book you’d like, where to send it, how many people would be involved in the training and what the training goals are.
This month we spotlight our introductory programming courses for R and Python. These courses are organized into 3-course sequences that constitute a Mastery, which gives you considerable savings over taking the courses individually. Choose between
Or, get started with just a single course:
- May 15 – June 12: Introduction to Python Programming
- May 15 – June 12: R Programming Introduction Part 1
See you in class!
Digital badges provide employers and peers concrete evidence of what you have learned and the skills required to earn your credential. Each badge’s digital image holds verified metadata describing your qualifications and the mastery required to earn them.
Contact Us To Learn More
If you have any questions on our courses, certificates, and degree programs and how they can apply to you, your work, and to your career, please get in touch. We’re here to help you succeed.