Data Science Training

This intensive Data Science and Data Engineering training course teaches architects the theoretical and practical aspects of applying Data Science and Data Engineering methods in real-world scenarios. Students master relevant concepts, terminology, theory, and tools used in this field.  

This Data Science training teaches attendees how to define and scope their data science projects, balancing technical complexities with business requirements for stakeholders. Students learn practical techniques and strategies for identifying challenges, exploring data, creating a project plan, and executing it effectively.

This Data Science training guides students on the different roles in the data science domain. The course teaches attendees the history and evolution of data science roles and the responsibilities of each role. This course gives attendees the skills and tools required for each role and discusses the trends and future developments in data science roles.

This Data Warehousing course teaches attendees the theories, concepts, domains, techniques, and terminology essential for every business and information technology professional involved in data warehousing. Students also learn best practices for data warehouse development and implementation.

This Machine Learning (ML) course provides a comprehensive overview of the current trends in Data Science and ML. After this 1-day seminar, attendees have a thorough understanding of their current state and the future directions they may take.

This Python and Data Science training course teaches health professionals how to incorporate data science into their daily work and extract valuable insights from healthcare data using the Python programming language.

This Data Science training teaches healthcare professionals how data science fits into the healthcare landscape, demystifies data science buzzwords, compares data science programming languages like R and Python, and more.