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Understand the key principles of analysis and machine learning, perfect for experienced Python programmers.
You will learn the state of the art in data analytics and machine learning by leveraging the most widely used Python libraries - developed and maintained by big companies like Google, Facebook and Twitter.
As both data analytics and machine learning fields are vast and fast expanding, we will focus our efforts on grasping the foundations. The foundations which we will go through could enable you to get a junior position as a data analyst and/or machine learning engineer.
Libraries that will be taught in this course:
This course is designed to open the vast world of data analytics and machine learning to those without prior experience of the field, using Python. Knowledge of mathematical concepts is beneficial, and delegates must have Python already.
Applicants must have successfully completed the Introduction to programming with Python or have Python to a similar standard.
As this is an introductory data analytics course you are not expected to have any data analytics or machine learning experience.
Knowledge of mathematical concepts such as those presented here is essential.
Applicants must be proficient in written and spoken English.
Introduction to Data Analytics and Machine Learning with Python is taught over 10 lessons, once a week in the evening from18:30 to 20:30 on every Monday, allowing you to continue with full-time employment.
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