Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics

2019-10-25T02:39:22+00:00Categories: Predictive Analytics & AI, Level 1, Data Culture Electives, Data Science Curriculum, Data Governance Curriculum, Executive Curriculum, Data Engineering Curriculum, Dr Eugene Dubossarsky, Innovation & Tech (CTO) Curriculum, AI Engineering Curriculum, All Academy Courses|Tags: , , , , |

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 analytics and data science practitioners who have attended it. This course is an intuitive, hands-on introduction to ai, data science and machine learning, it's your artificial intelligence 101. The training focuses on central concepts and key skills, leaving you with a deep understanding of the foundations of ai and 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.

Intro to R (+ data visualisation)

2019-11-05T23:25:16+00:00Categories: Level 1, Data Culture Electives, Impact, Data Science Curriculum, R, Data Visualisation, Data Engineering Curriculum, Dr Eugene Dubossarsky, AI Engineering Curriculum, All Academy Courses|Tags: , |

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 language, teaching you to create functions and customise code so you can manipulate data and begin to use R self-sufficiently in your work.

Intro to Python for Data Analysis

2019-11-25T06:55:55+00:00Categories: Level 1, Data Culture Electives, Data Science Curriculum, Python, Data Engineering Curriculum, Dr Eugene Dubossarsky, AI Engineering Curriculum, All Academy Courses|Tags: , |

Python is a high-level, general-purpose language used by a thriving community of millions. Data-science teams often use it in their production environments and analysis pipelines, and it’s the tool of choice for elite data-mining competition winners and deep-learning innovations. This course provides a foundation for using Python in exploratory data analysis and visualisation, and as a stepping stone to machine learning.

Data Governance 1

2019-10-25T10:12:30+00:00Categories: Data Culture Level 1, Data Culture Electives, Government, Data Science Curriculum, Data Governance Curriculum, Data Science Level 1, Executive Curriculum, Mark Burnard, Data Engineering Curriculum, Innovation & Tech (CTO) Curriculum, Data Governance Level 1, AI Engineering Curriculum, Financial Risk, Data Engineering Level 1, AI Engineering Level 1, Executive Level 1, All Academy Courses, Innovation & Tech (CTO) Level 1|Tags: , , , |

This two day course provides an informed, realistic and comprehensive foundation for establishing best practice Data Governance in your organisation. Suitable for every level from CDO to executive to data steward, this highly practical course will equip you with the tools and strategies needed to successfully create and implement a Data Governance strategy and roadmap.

Leadership and Resilience Skills for Data Professionals

2019-10-25T10:26:00+00:00Categories: Data Science Curriculum, Data Science Level 1, Data Engineering Curriculum, Leadership & Management, Katrina Loukas, Data Engineering Level 1, All Academy Courses|Tags: , |

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.

Data Transformation and Analysis Using Apache Spark

2019-11-25T06:49:44+00:00Categories: Jeffrey Aven, Level 1, Data Science Curriculum Electives, Data Governance Curriculum Electives, Apache Spark, Data Engineering Curriculum, All Academy Courses, Apache Spark Training with Jeffrey Aven, Experienced Analytics Instructor + Big Data Author|Tags: , |

With big data expert and author Jeffrey Aven. The first module in the “Big Data Development Using Apache Spark” series, this course provides a detailed overview of the spark runtime and application architecture, processing patterns, functional programming using Python, fundamental API concepts, basic programming skills and deep dives into additional constructs including broadcast variables, accumulators, and storage and lineage options. Attendees will learn to understand the Apache Spark framework and runtime architecture, fundamentals of programming for Spark, gain mastery of basic transformations, actions, and operations, and be prepared for advanced topics in Spark including streaming and machine learning.

Best Practices in Enterprise Information Management

2019-10-24T04:45:22+00:00Categories: Data Culture Level 1, Data Culture Curriculum, Innovation & Tech (CTO) Curriculum Electives, Data Governance Curriculum, Stephen Brobst, Fraud and Security, Executive Curriculum, Data Engineering Curriculum, Data Governance Level 1, Data Management, Executive Level 2, Big Data, Data Engineering Level 1, All Academy Courses, Innovation & Tech (CTO) Level 3|Tags: , , , , , |

The effective management of enterprise information for analytics deployment requires best practices in the areas of people, processes, and technology. In this talk we will share both successful and unsuccessful practices in these areas. The scope of this workshop will involve five key areas of enterprise information management: (1) metadata management, (2) data quality management, (3) data security and privacy, (4) master data management, and (5) data integration.

Data Driven Management

2019-12-01T06:42:57+00:00Categories: AI Engineering Curriculum Electives, Data Engineering Curriculum Electives, Government, Data Science Curriculum, Data Governance Curriculum, Data Science Level 1, Executive Curriculum, Data Engineering Level 2, Dr Eugene Dubossarsky, Innovation & Tech (CTO) Curriculum, Data Governance Level 1, AI Engineering Level 2, Executive Level 1, All Academy Courses, Innovation & Tech (CTO) Level 1|Tags: , , , |

This course is for executives and managers who want to leverage analytics to support their most vital decisions and enable better decision-making at the highest levels. It empowers senior executives with skills to make more effective use of data analytics. It covers contexts including strategic decision-making and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.

Overcoming Information Overload with Advanced Practices in Data Visualisation

2019-10-24T04:46:56+00:00Categories: Data Culture Electives, Innovation & Tech (CTO) Curriculum Electives, Data Science Curriculum, Data Science Level 1, Data Culture Level 2, Innovation & Tech (CTO) Level 2, Stephen Brobst, Executive Curriculum, Data Visualisation, Data Management, AI Engineering Curriculum, Executive Level 2, Big Data, AI Engineering Level 1, All Academy Courses|Tags: , , , , , , , |

In this workshop, we explore best practices in deriving insight from vast amounts of data using visualisation techniques. Examples from traditional data as well as an in-depth look at the underlying technologies for visualisation in support of geospatial analytics will be undertaken. We will examine visualisation for both strategic and operational BI.

Data Driven Decision Making for Executives and Managers

2019-10-18T03:28:45+00:00Categories: AI Engineering Curriculum Electives, Data Engineering Curriculum Electives, Government, Data Science Curriculum, Data Governance Curriculum, Data Science Level 1, Executive Curriculum, Data Engineering Level 2, Dr Eugene Dubossarsky, Innovation & Tech (CTO) Curriculum, Data Governance Level 1, AI Engineering Level 2, Executive Level 1, All Academy Courses, Innovation & Tech (CTO) Level 1|Tags: , , , |

This course is for executives and managers who want to leverage analytics to support their most vital decisions and enable better decision-making at the highest levels. It empowers senior executives with skills to make more effective use of data analytics. It covers contexts including strategic decision-making and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.