Expert

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

2020-11-02T23:25:54+00:00Categories: Predictive Analytics & AI, Level 1, Data Science Curriculum, Data Governance Curriculum, Executive Curriculum, Data Engineering Curriculum, Dr Eugene Dubossarsky, Innovation and Technology 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.

Data Visualisation and Communication

2020-09-17T08:23:30+00:00Categories: Executive Curriculum Adv Electives, Data Culture Electives, Data Science Curriculum, Introductory, Data Visualisation, Dr Eugene Dubossarsky, All Academy Courses|Tags: , , , |

This course prepares data analytics professionals to communicate analytics results to business audiences, in a business context while being mindful of the skills, incentives, priorities and psychology of the audience. It also equips analysts [...]

Report Automation – Excel to PowerPoint with R

2020-10-30T03:38:27+00:00Categories: Dr Craig Savage, Data Engineering Curriculum Electives, Data Science Curriculum Electives, R, Data Visualisation, All Academy Courses|Tags: , , , |

Report automation can deliver powerful, time-saving results. This course teaches analytics professionals to automate the creation of PowerPoint packs from input Excel workbooks using R. Time is allotted for students to implement techniques taught so that, by the end of the course, students will have wrangled input data, created plots and tables, defined a PowerPoint template, and built a sample set of slides.

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 and Technology 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.

Identifying Digital Change Initiatives

2021-01-18T01:01:41+00:00Categories: Petr Podymov, Enterprise Digital Investment Curriculum, All Academy Courses|Tags: , , |

This course provides a practical framework for identifying digital change initiatives with enterprise analysis to highlight opportunities where real change is needed within the organisation. The framework covers how to appropriately prioritise these opportunities, identify missing competencies and resource them, and then how to evaluate and propose digital change solutions. The course concludes with how to devise and plan an appropriate implementation strategy and trajectory.

Enterprise Digital Portfolio Management

2021-01-18T01:08:27+00:00Categories: Petr Podymov, Enterprise Digital Investment Curriculum, All Academy Courses|Tags: , , |

The Enterprise Digital Portfolio Management course covers key concepts required to manage an enterprise digital investment portfolio, including classical and goal-driven approaches. The course considers both the organisational and technological change potential of such investments.

Intro to R (+ data visualisation)

2020-10-19T01:35:22+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: , |

This R training 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. 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.

Intro to Python for Data Analysis

2020-11-03T00:09:02+00:00Categories: Level 1, Data Culture Electives, Data Science Curriculum, Python, Data Engineering Curriculum, Dr Eugene Dubossarsky, AI Engineering Curriculum, All Academy Courses|Tags: , |

This course provides a foundation for using Python in exploratory data analysis and visualisation, and as a stepping stone to machine learning. 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.

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

2020-10-26T10:07:42+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 II

2020-12-02T02:02:44+00:00Categories: Executive Curriculum Adv Electives, Data Culture Electives, Government, Data Science Curriculum, Data Governance Curriculum, Mark Burnard, Data Engineering Curriculum, Innovation and Technology Curriculum, AI Engineering Curriculum, Financial Risk, All Academy Courses|Tags: , , , |

This one day course builds on the foundation of Data Governance I, and dives deeper into selected areas that are designed to provide the most practical and real-world applications of data governance. It includes the change management journey to the “data-driven” organisation, and implications of the necessity of model governance in the context of data science, AI/ML initiatives and RPA/IPA .

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