Transform your Data Science team with expert-led workshops. Learn proven Data Science methodologies, improve Data Science processes, and develop strong relationships with customers. Join 167 experienced Data Science professionals for interactive training.
Our workshops are designed to help Data Science teams and professionals develop essential skills and improve their Data Science process.
Learn from experienced Data Science professionals who have mastered the art of building strong relationships and closing deals.
Gain real-world Data Science experiences through interactive exercises and role-playing scenarios.
Access professional Data Science training from anywhere with our virtual workshop format.
Cover essential Data Science skills, from customer insights to closing techniques.
Perfect for Data Science managers looking to develop their team's capabilities.
Advance your Data Science career with proven methodologies and best practices.
Our workshops cover essential aspects of professional Data Science to help you and your team succeed.
Our workshop hosts are experienced Data Science professionals who have mastered the art of building strong relationships and closing deals. They bring real-world Data Science experiences to help you develop essential Data Science skills.
Enhance your Data Science knowledge with these carefully selected books.
ISL is a fundamental book and popular amongst undergrad and grad students for its clarity and simplicity with explaining concepts. The math required to understand the book is kept to a minimum, making it unique in its format.
Statistical methods are a key part of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.
For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with the Python Data Science Handbook do you get them all—IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and other related tools.
Complement your workshop learning with these comprehensive Data Science courses.
Everything you need to know about our Data Science workshops.
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