Dr Eugene Dubossarsky

AlphaZetta Academy Course Author & Trainer

Eugene DubossarskyEugene Dubossarsky is Managing Partner of AlphaZetta Academy and a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the head of the Sydney Data Science group (3,000+ members), the Sydney Users of R Forum (1,900+ members), and Datapreneurs (400+ members). Eugene is regularly invited to be a conference presenter, consultant and advisor, and appears in print and on television to discuss data science and analytics. He also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R.

Eugene is also our principal trainer, offering over 21 training courses in data science and related topics.

Data Visualisation and Communication

2021-09-08T03:57:01+00:00August 20th, 2020|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 [...]

Critical Thinking for Data Analytics

2021-09-08T03:54:32+00:00March 16th, 2020|Tags: |

This course is a vital first step in the data literacy journey, and the one that introduces the most vital and basic skills of the effective 21st century professional or leader. Working with data is not just about manipulating software tools : it is first and foremost about effective reasoning, using all available information. As such, this course loads the key “software” into the most vital hardware of the business - the human professional, enabling them to reason effectively with data, and thus realise the value that data analytics promises, deriving more reliable and correct insights and making better decisions.

Data-Driven Decision-Making

2021-09-08T06:35:02+00:00December 1st, 2019|Tags: , , , |

The Data-Driven Decision-Making 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.

AI and Data Science for Managers and Executives

2021-03-12T03:58:10+00:00July 20th, 2019|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.

Advanced Python 2

2021-04-13T04:06:24+00:00March 5th, 2019|Tags: , |

In the Advanced Python 2 course, you will learn advanced methods and packages for working with "big data" with Pandas. The course also covers using Dask for parallel computation. Machine learning is demonstrated with [...]

Advanced Python 1

2021-03-12T03:57:58+00:00March 5th, 2019|Tags: , |

This class builds on the introductory Python class. Jupyter Notebook advanced use and customisation is covered as well as configuring multiple environments and kernels. The Numpy package is introduced for working with arrays and matrices and a deeper coverage of Pandas data analysis and manipulation methods is provided including working with time series data. Data exploration and advanced visualisations are taught using the Plotly and Seaborne libraries.

Advanced R 2

2021-03-12T03:57:58+00:00March 1st, 2019|Tags: , |

This course goes deeper into the tidyverse family of packages, with a focus on advanced data handling, as well as advanced data structures such as list columns in tibbles, and their application to model management. Another key topic is advanced functional programming with the purrr package, and advanced use of the pipe operator. Optional topics may include dplyr on databases, and use of rmarkdown and Rstudio notebooks.

Advanced R 1

2021-03-12T03:57:58+00:00March 1st, 2019|Tags: , |

This class builds on “Intro to R (+data visualisation)” by providing students with powerful, modern R tools including pipes, the tidyverse, and many other packages that make coding for data analysis easier, more intuitive and more readable. The course will also provide a deeper view of functional programming in R, which also allows cleaner and more powerful coding, as well as R Markdown, R Notebooks, and the shiny package for interactive documentation, browser-based dashboards and GUIs for R code.

Advanced Machine Learning Masterclass I

2021-03-12T03:57:57+00:00March 1st, 2019|Tags: , |

This course is for experienced machine-learning practitioners who want to take their skills to the next level by using R to hone their abilities as predictive modellers. Trainees will learn essential techniques for real machine-learning model development, helping them to build more accurate models. In the masterclass, participants will work to deploy, test, and improve their models.

Go to Top