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

2020-10-19T04:47:41+00:00Categories: Predictive Analytics & AI, Level 1, Data Science Curriculum, Data Governance Curriculum, Executive Curriculum, Data Engineering Curriculum, Dr Eugene Dubossarsky, Innovation & Tech Curriculum, AI Engineering Curriculum, All Academy Courses|Tags: , , , , |

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 fundamentals and key skills, leaving you with a deep understanding of the core concepts 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. As our leading course, it 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.

AI and Data Science for Managers and Executives

2020-09-22T00:26:33+00:00Categories: Predictive Analytics & AI, Data Culture Electives, Data Governance Curriculum, Executive Curriculum, Dr Eugene Dubossarsky, Innovation & Tech Curriculum, All Academy Courses|Tags: , , , |

Improve your project’s chance of success by avoiding common failures in AI and data science projects. This one-day workshop is aimed at current or aspiring leaders and managers of AI / machine learning teams and functions. The focus of the course is on the key concepts that are required to avoid the most common and far too frequent failures in AI projects and initiatives.

Data-Driven Management

2020-09-17T07:24:02+00:00Categories: AI Engineering Curriculum Electives, Data Engineering Curriculum Electives, Government, Data Science Curriculum, Data Governance Curriculum, Executive Curriculum, Dr Eugene Dubossarsky, Innovation & Tech Curriculum, All Academy Courses|Tags: , , , |

The Data-Driven Management 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.

Data Science and Big Data Analytics: Leveraging Best Practices and Avoiding Pitfalls

2020-10-19T06:44:36+00:00Categories: Data Engineering Curriculum Electives, Data Science Curriculum, Data Governance Curriculum Electives, Stephen Brobst, Executive Curriculum, Data Visualisation, Data Management, Big Data, All Academy Courses|Tags: , , , , , , |

Data science is the key to business success in the information economy. This workshop will teach you about best practices in deploying a data science capability for your organisation. Technology is the easy part; the hard part is creating the right organisational and delivery framework in which data science can be successful in your organisation. We will discuss the necessary skill sets for a successful data scientist and the environment that will allow them to thrive. We will draw a strong distinction between “Data R&D” and “Data Product” capabilities within an enterprise and speak to the different skill sets, governance, and technologies needed across these areas. We will also explore the use of open data sets and open source software tools to enable best results from data science in large organisations. Advanced data visualisation will be described as a critical component of a big data analytics deployment strategy. We will also talk about the many pitfalls and how to avoid them.

Data Governance I

2020-09-18T02:53:29+00:00Categories: Data Culture Electives, Government, Data Science Curriculum, Data Governance Curriculum, Executive Curriculum, Mark Burnard, Data Engineering Curriculum, Innovation & Tech Curriculum, AI Engineering Curriculum, Financial Risk, All Academy Courses|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.

Agile Insights

2019-10-25T10:26:46+00:00Categories: AI Engineering Curriculum Electives, Data Culture Electives, Data Governance Curriculum, Introductory, Executive Curriculum, Innovation & Tech Curriculum, Alexander Heidl, All Academy Courses|Tags: , , , , |

This course presents a process and methods for an agile analytics delivery. Agile Insights reflects the capabilities required by any organization to develop insights from data and validating potential business value.Content presented describes the process, how it is executed and how it can be deployed as a standard process inside an organization. The course will also share best practices, highlight potential tripwires to watch out for, as well as roles and resources required.

Overcoming Information Overload with Advanced Practices in Data Visualisation

2019-10-24T04:46:56+00:00Categories: Data Culture Electives, Innovation & Tech Curriculum Electives, Data Science Curriculum, Stephen Brobst, Executive Curriculum, Data Visualisation, Data Management, AI Engineering Curriculum, Big Data, 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.

Blockchain, Smart Contracts and Cryptocurrency

2020-10-19T06:54:16+00:00Categories: AI Engineering Curriculum Electives, Data Culture Electives, Data Science Curriculum Electives, Data Governance Curriculum Electives, Executive Curriculum Electives, Tristan Blakers, Introductory, Data Engineering Curriculum, Innovation & Tech Curriculum, All Academy Courses|Tags: , , , |

Blockchain is one of the most disruptive and least understood technologies to emerge over the previous decade. This course gives participants an intuitive understanding of blockchain in both public and private contexts, allowing them to distinguish genuine use cases from hype. We explore public crypto-currencies, smart contracts and consortium chains, interspersing theory with case studies from areas such as financial markets, health care, trade finance, and supply chain. The course does not require a technical background.

Quantum Computing

2020-09-18T06:21:35+00:00Categories: AI Engineering Curriculum Electives, Data Science Curriculum Electives, Introductory, Dr Eugene Dubossarsky, Innovation & Tech Curriculum, All Academy Courses|Tags: , , , |

This course is an introduction to the exciting new field of quantum computing, including programming actual quantum computers in the cloud. Quantum computing promises to revolutionise cryptography, machine learning, cyber security, weather forecasting and a host of other mathematical and high-performance computing fields. A practical component will include writing quantum programs and executing them on simulators as well as on actual quantum computers in the cloud.

The Future of Analytics

2020-07-21T02:14:18+00:00Categories: Predictive Analytics & AI, Data Science Curriculum Electives, Data Governance Curriculum Electives, Stephen Brobst, Executive Curriculum, Data Engineering Curriculum, Data Management, Innovation & Tech Curriculum, AI Engineering Curriculum, Big Data, All Academy Courses|Tags: , , , , , , |

This full day workshop examines the trends in analytics deployment and developments in advanced technology. The implications of these technology developments for data foundation implementations will be discussed with examples in future architecture and deployment. This workshop presents best practices for deployment of a next generation data management implementation as the realization of analytic capability for mobile devices and consumer intelligence. We will also explore emerging trends related to big data analytics using content from Web 3.0 applications and other non-traditional data sources such as sensors and rich media.

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