Five session course
This is the perfect introductory course if you would like to start a career in data science. Using open source tools, it covers all the concepts necessary to move through the entire data science pipeline, and whether you intend to continue working with open source tools, or later opt for proprietary services, this course will give you the foundation you need to assess which options best suit your needs. You will receive 5 days of instructor-led training which will teach you how to translate business questions into Machine Learning problems and understand what your data is telling you. Students will also be able to explore and analyse data from the Web, Word Documents, Email, Twitter feeds, NoSQL stores, Relational Databases and more, for patterns and trends which specifically relate to your business.
Select a class time
Tue 9 Jul, 9:00am - 4:30pm
Wed 10 Jul, 9:00am - 4:30pm
Thu 11 Jul, 9:00am - 4:30pm
Fri 12 Jul, 9:00am - 4:30pm
None of the dates work for you? Let the host know and you will be notified when new dates are added.
You will only receive an email from us if new dates are added for this class, you will not receive any marketing emails, and that's a promise!
We ensure quality. If your class doesn't reach your expectations, we'll give your money back.
About your host, Learning Tree International
Learning Tree International has helped 2.4 million professionals improve their skills since they were established in 1974.They provide individual, team and organisation-wide IT and management training on topics including: web development, cyber security, programme and project management, Agile, operating systems, networking, cloud computing, leadership, and more.
Learning Tree has also created a Managed Learning Service Model that oversees the complete learning life cycle and is flexible to meet various organisational needs. This will save you time on training administration, supplier management, and reporting, and leave you free to work towards your organisational goals.
Flexible cancellation policy
Any class can be cancelled and fully refunded within 24 hours of purchase. See cancellation policy.