This intermediate-level program will give you hands-on experience in one of the hottest areas of data science. You’ll learn the techniques and tools for data acquisition, transformation and predictive analysis, ensuring you having a solid foundation in working with the entire data pipeline.
This complimentary online session will be a high-level overview of how to use machine learning to solve problems, make decisions and build smart programs, including an overview of the online courses available to gain these sought-after skills.Join our next session
From Siri to smart cars, the ability to make computers learn from data without being programmed to do so is reshaping the modern world—making it a highly sought-after skill across industries.
As one of the fastest-growing fields in data science, machine learning is increasingly used to make high-level decisions and develop innovative new technologies. It’s why there are 50% more jobs requiring machine learning skills than job seekers who have them. It’s also the 3rd highest paid analytical skill.
Applied Data Science: Machine Learning is for anyone who wants to gain the skills and understanding to oversee or implement a project that covers the full data science pipeline, including modelling and evaluation. You either want to switch careers or open up new career opportunities in your current workplace with a formal recognition of your skills and an EPFL certification.
" The course structure and content are amazing. You cannot find anything else like it online. "
Pascal, EPFL Extension School Alumnus
The Applied Data Science: Machine Learning program includes four certified courses and a customizable capstone project. Learners who successfully complete the program earn an EPFL Certificate of Open Studies Diploma and 15 ECTS credits.
Foundational concepts of data analysis:
Working across the entire data analysis pipeline
Basics of machine learning with Scikit-learn
Advanced machine learning techniques
Showcase the skills and knowledge you’ve learnt on the program by applying them to your own data science project.
These program details are subject to change; please refer to the program outline at the time of registration.
This program is taught at intermediate-level. You should have the following tools, skills and abilities prior to registering for this course:
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