LIVE TRAINING

SAVE THE DATE: January 18th, 2022 @ 12 pm EST

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Bruno Gonçalve’s work focuses on the use of Big Data techniques (Data Mining, Analysis, and Machine Learning) to understanding and modeling of human behavior. Past projects have included the use of large Twitter datasets to study political discourse and information diffusion online; modeling of online navigation using real-world traces and the modeling and prediction of epidemics at the global scale. 

LIVE TRAINING: Introduction to PYTHON for Programming 

October 12th @12 PM EST

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Price: $147

Regular price $210, discounted 10%
  • 4 hour immersive session

  • Hands-on training with Q&A

  • Recording available on-demand

  • Certification of Completion

30% Discount Ends in:

Subscribe and get an additional 10% to 35% off ALL live training session
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Pricing: $147

Regular price $210, discounted 30%
  • 4 hour immersive session

  • Hands-on training with Q&A

  • Recording available on-demand

  • Certification of Completion

30% Discount Ends in:

Subscribe and get an additional 10% to 35% off ALL live training session
View Plans

Meet Your Instructor

Bruno Gonçalves

Bruno Gonçalves is currently a Senior Data Scientist working at the intersection of Data Science and Finance. Previously, he was a Data Science fellow at NYU’s Center for Data Science while on leave from a tenured faculty position at Aix-Marseille Université. Since completing his PhD in the Physics of Complex Systems in 2008 he has been pursuing the use of Data Science and Machine Learning to study Human Behavior. Using large datasets from Twitter, Wikipedia, web access logs, and Yahoo! Meme he studied how we can observe both large scale and individual human behavior in an obtrusive and widespread manner. The main applications have been to the study of Computational Linguistics, Information Diffusion, Behavioral Change and Epidemic Spreading. In 2015 he was awarded the Complex Systems Society’s 2015 Junior Scientific Award for “outstanding contributions in Complex Systems Science” and in 2018 he was named a Science Fellow of the Institute for Scientific Interchange in Turin, Italy.

Course Overview

What’s the plan? 

In this course, we will explore the basics of epidemiology and the epidemic model in a practical and intuitive way. We will leverage our understanding of Python and NetworkX to introduce the fundamental concepts and models of epidemic modeling and use them in conjunction with public datasets to better understand the way in which CoVID-19 is spreading, grasp concepts such as R0, herd immunity, and vaccine efficacy, the impact of seasonality, and different competing strains and understand the explore the consequences of our assumptions and interventions through simple simulations and models. As the world braces for the next wave or variant, this tutorial will provide you with the hands-on tools to separate the hype from the facts.

Course Outline

What’s the plan? 

Matt Harrison has been working with Python and data since 2000. He has a computer science degree from Stanford. He has worked at many amazing companies, created cool products, wrote a couple books, and taught thousands Python and Data Science. Currently, he is working as a corporate trainer, author, and consultant through his company Metasnake, which provides consulting and teaches corporations how to be effective with Python and data science.

Course Overview

Python is a powerful tools that XXX

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Course Outline 

Module 1:
Background Information

Module 2:
Compartmental Models

Module 3:
Network Models

Module 4:
Vaccination

  • Visualizing cases and deaths
  • Geographic spread
  • SIR model structure 
  • R0 and Rt 
  • Herd Immunity 
  • Model simulations
  • Agent-based models
  • Contact Tracing
  • Modeling vaccination campaigns
  • Vaccine efficacy

Key on emojidex Key Details

DATE

TIME:

DURATION:

LEVEL:

JANUARY 18th, 2022

TIME: 12 PM EST, 9 AM PST

4 HOURS

BEGINNER

Prerequisites

Basic understanding of Python

Upcoming Live Training

January 20, 2022

Pandas can be tricky, and there is a lot of bad advice floating around. This training sessions will cut through some of the biggest issues the instructor has seen with Pandas code after working with the library for a while and writing two books on. By undertaking this course, you will be able to understand the benefits of using the correct types, write pandas code that is fit for EDA but also deployment and master the best practices to be more efficient.

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Upcoming Live Training

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Open Data Science

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