Understand supervised and unsupervised learning algorithms from scratch, model with scikit-learn, and learn model evaluation and the logic of putting models into production.
Understand supervised and unsupervised learning algorithms from scratch, model with scikit-learn, and learn model evaluation and the logic of putting models into production.
Python and basic statistics are required (the Data Analysis with Python course is recommended). After purchase you access the curriculum and calendar from your student panel; you have an unconditional refund right within 14 days. You can pay by card in 3-9 instalments. Those who complete the course receive a certificate with a verification code.
During the course the student support team replies on weekdays between 09:00 and 21:00; in the mentor Q&A hour you can talk to the instructor one to one.
Learn the attack surface, common vulnerabilities and defence methods hands-on in a controlled lab environment.
Learn Python from scratch and work like a data analyst who cleans, analyses and visualises real datasets.
Learn SQL, the basic language of reporting and analysis, on a realistic e-commerce database.
