An introduction to R, and a broad coverage of mathematics for Data Science and Machine Learning: algebra, linear algebra, calculus, probability and statistics.
This 3-day course is designed for anyone who's going to make a career working in data. It is practical in nature and will take you through the most common mathematical statistical models that you're going to need to thrive as a data scientist or data analyst.
Whether you work with Excel, SQL, Hadoop, or any other data solution, you're going to be able to understand a model more effectively with mathematics. You'll learn to improve existing statistical models and start developing the right skills to ask more advanced questions.
Aimed at fledging data scientists who wish to have a proper understanding of the underlining mathematics and algorithms behind Machine Learning and data analytics.
At the end of this course attendees will know:
At the end of this course attendees will be able to: