You benefit from a full-stack skills solution for data analytics and machine learning. Your team will work closely with our world-class experts among our faculty with experience relevant to your particular industry to develop the skills you need.
DurationYou benefit from a full-stack skills solution for data analytics and machine learning. Your team will work closely with our world-class experts among our faculty with experience relevant to your particular industry to develop the skills you need.
Tailor your own curriculum from a range of skills-based corporate training modules focused on applied learning to give your workforce the skills and tools you need most. Delivering your curriculum through our patented learning platform EDUKATE.AI built for data science gives your team the flexibility and support to thrive along with their training and professional development journey.
Cambridge Spark is an education technology company that enables organisations to achieve their business goals by educating their workforce in data science & artificial intelligence.
Data science is a field that has exploded in popularity in recent years, and for good reason. Companies across industries are increasingly relying on data to inform their decision-making, and skilled data scientists are in high demand.
Join us as we explore the world of Machine Learning (ML) using Python! The course is designed for individuals who wish to advance their careers in Data Science or get started in Machine Learning.
This course offers an in-depth exploration of data analytics and machine learning techniques, equipping you with the knowledge and practical skills needed to turn data into a valuable asset for your organisation.
Software developers and software engineers with a basic knowledge of Python. Data Scientists, Data analysts and Business Intelligence professionals who are new to Python. Developers, engineers, researchers and analysts who want to start learning about Artificial Intelligence and related concepts.
In this course, you will learn how to develop ML (Machine Learning) models to resolve business issues with the help of Google Cloud technologies which are widely used to design ML models.
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