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.
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 what’s possible.
You will be introduced to key concepts and tools for use in Data Science, including typical Data Science Project lifecycles, potential applications & 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.
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.
Target Audience
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.
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.
They may be Mid/Senior Leadership seeking a greater understanding of how to implement Data Science within their organization.
At the end of the course attendees will know:
At the end of the course attendees will be able to:
Introduction to Data Science & Machine Learning
Introduction to R for Data Science
Descriptive & Inferential Statistics with R
Preprocessing Data for Analysis
Supervised Learning: Regression
Supervised Learning: Classification
Model Selection & Evaluation
Unsupervised Learning
Ethics for Data Scientists
Deploying Models & Insights
Where to Go Next
Join our public courses in our Istanbul, London and Ankara facilities. Private class trainings will be organized at the location of your preference, according to your schedule.