Data Science and Machine Learning with R

lt;pgt;This five-day course is aimed at those who are familiar with data analysis and are interested in learning about how Data Science, Analytics, Machine Learning, and Artificial Intelligence (AI) can be used to yield value from data assets.lt;/pgt;lt;pgt;This course will be of interest if you are interested in developing your own skills to move from analytics to Data Science, or if you are working with Data Scientists and want to learn more about whatamp;rsquo;s possible.lt;/pgt;lt;pgt;You will be introduced to key concepts and tools for use in Data Science, including typical Data Science Project lifecycles, potential applications amp;amp; project pitfalls, relevant aspects of data governance and ethics, roles and responsibilities, Machine Learning and AI model development, exploratory analysis and visualisation, as well as techniques and strategies for model deployment.lt;/pgt;lt;pgt;Throughout the course you will engage in activities and discussions with one of our Data Science technical specialists. Theoretical modules are complemented with comprehensive practical labs.lt;/pgt;lt;pgt;lt;stronggt;Target Audiencelt;/stronggt;lt;/pgt;lt;pgt;Members of the audience are required to have some technical expertise such as table structure, working with tabular data in R, and intermediate data analysis.lt;/pgt;lt;pgt;They may come from other technical backgrounds such as Data Analysts, Software Developers, and Data Engineers who either work with Data Scientists or are using this course in their journey towards training as a Data Scientist.lt;/pgt;lt;pgt;They may be Mid/Senior Leadership seeking a greater understanding of how to implement Data Science within their organization.lt;/pgt;