Events Search and Views Navigation
R is the world’s most popular data mining and statistics package. It’s also free, and easy to use, with a range of intuitive graphical interfaces. This two-day course will introduce you to the R programming [...]
Our leading course has transformed the artificial intelligence (AI), machine-learning (ML) and data science practice of the many managers, sponsors, key stakeholders, entrepreneurs and beginning data science practitioners who have attended it. This course is an intuitive, hands-on introduction to data science and machine learning. The training focuses on central concepts and key skills, leaving the trainee with a deep understanding of the foundations of AI, data science and even some of the more advanced tools used in the field. The course does not involve coding, or require any coding knowledge or experience.
Many people today have been developed emotionally and mentally for an era that no longer really exists. This has created a critical soft-skills gap between current workforce ability and business requirements today. In this course participants learn to ‘readapt’ their soft skills so that they are aligned with a thriving 21st century business. They are also given a simple framework from which to continue the self-development so that the training instigates sustainable change. Through a mixture of tried and tested experiential and didactic learning techniques applied to the data science setting, participants develop the following skills relevant to innovative data scientists in the 21st century: creativity, a beginner’s mind, global citizenship, efficient communication, compassion, resilience, self-leadership, critical thinking, empathy, emergence/adaptability, self-awareness, & self-regulation. Equally, a deep appreciation for cultural, intellectual and gender diversity is gained.
Data science is the key to business success in the information economy. This one-day workshop will teach you about best practices in deploying a data science capability for your organisation. Technology is the easy part; [...]