Management

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

2020-01-09T04:11:53+00:00Categories: Data Governance Level 2, Data Engineering Curriculum Electives, Data Science Curriculum, Data Science Level 2, Data Governance Curriculum Electives, Stephen Brobst, Executive Curriculum, Data Visualisation, Data Engineering Level 2, Data Management, Executive Level 2, 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 1

2020-01-09T04:14:59+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.

Quantum Computing

2019-10-18T03:34:56+00:00Categories: AI Engineering Curriculum Electives, Data Science Curriculum Electives, Introductory, Dr Eugene Dubossarsky, Innovation & Tech (CTO) Curriculum, All Academy Courses|Tags: , , , |

This 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.

Blockchain, Smart Contracts and Cryptocurrency

2019-10-25T01:54:25+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 (CTO) 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.

Agile Insights

2019-10-25T10:26:46+00:00Categories: AI Engineering Curriculum Electives, Data Culture Electives, Data Governance Curriculum, Introductory, Executive Curriculum, Innovation & Tech (CTO) 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.

Capacity Planning for Enterprise Data Deployment

2019-10-24T04:51:48+00:00Categories: Innovation & Tech (CTO) Curriculum Electives, Data Governance Curriculum Electives, Executive Curriculum Electives, Stephen Brobst, Data Engineering Curriculum, Data Governance Level 1, Data Management, AI Engineering Curriculum, Infrastructure & Technologies, Data Engineering Level 1, AI Engineering Level 1, Executive Level 1, All Academy Courses|Tags: , , , |

This workshop describes a framework for capacity planning in an enterprise data environment. We will propose a model for defining service level agreements (SLAs) and then using these SLAs to drive the capacity planning and configuration for enterprise data solutions. Guidelines will be provided for capacity planning in a mixed workload environment involving both strategic and tactical decision support. Performance implications related to technology trends in multi-core CPU deployment, large memory deployment, and high density disk drives will be described. In addition, the capacity planning implications for different approaches for data acquisition will be considered.

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

2020-02-14T02:04:02+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.