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Workshops can help you and your team to learn new skills, improve your processes and get better at what you do. Find a Data Science workshop with an expert today.
Workshops can help you and your team to learn new skills, improve your processes and get better at what you do. Find a Data Science workshop with an expert today.
Guidance from top Data Science experts
We offer the leading selection of Data Science experts and coaches to help with your professional development and Data Science workshops.
Our mentors are experienced professionals, ready to help you and your team to learn new skills, improve your processes and get better at what you do. Find a Data Science workshop with an expert today.
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.
Math is the foundation of Machine Learning and much needed if you need to work on the inner logic of its systems. Senior engineers are encouraged to propose and submit their own papers – and getting your LinAlg back in order is a must for that.
Kirill Eremenko's course on Udemy is a classic with almost a million (!) students worldwide. A-Z takes you from a bit of coding knowledge to making your own predictions and building ML models pretty swiftly. At prices between $10 - $20 it's also cheaper than many alternatives.
Lex Fridman is the instructor of an immensely popular and fundamental Deep Learning course at MIT. Together with the other MIT AI courses, this can help polish your skills and get the foundations right.
We’ve already delivered 1-on-1 mentorship to thousands of students, professionals, managers and executives. Even better, they’ve left an average rating of 4.9 out of 5 for our mentors.
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