7 hour course
Attendance at this 2 day course will equip you with a range of skills to construct and deploy machine learning products using Python. Prospective students should be aware that this course is intensive and is designed for software engineers and developers with a good working knowledge of Python and who wish to enhance their proficiency of constructing data products. As well as being suitable for developers, this course is also ideal for data analysis and data scientists who have a basic understanding of Python technologies. The course will be comprehensive and students will complete a variety of activities, practical exercises and interactive discussions. You will also have the opportunity to actively implement the concepts that you learn about within a real data science environment. Your knowledge will be developed through expert tuition, engaging learning activities and the support of an experienced tutor to guide you through the training.
We ensure quality. If your class doesn't reach your expectations, we'll give your money back.
This is a Flexitime class, which means the teacher can run this class around your schedule.
Time & Location
Select a date and location you want and your teacher will get back to you to confirm their availability.
About your host, Noble Prog
NobleProg are an international training and consultancy group, providing excellent courses for all sectors, including Artificial Intelligence, IT, Management and Applied Statistics. NobleProg ensure flexibility in time, budget and ability, so whether you want to learn in the classroom on online, you will be able to find something to suit you. They know how important it is to ensure that their courses are relevant and up to date with the latest developments, along with using feedback to continually improve their service. Their enthusiastic trainers have been hand picked and undergone thorough checks and interviews so you will get the most from every learning experience.
Flexible cancellation policy
Any class can be cancelled and fully refunded within 24 hours of purchase. See cancellation policy.