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Intro to R (+ data visualisation) – Melbourne

November 18 @ 9:30 am - November 19 @ 5:00 pm

Intro to Python for Data Analysis – Melbourne

November 26 @ 9:30 am - November 27 @ 5:00 pm

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. This two-day course is an introduction to Python programming and Jupyter Notebooks, beginning with the most basic operations of downloading and installing the Python environment. The course will use Anaconda, a popular Python distribution for data science that includes many of the packages used in this course. The course will also introduce core Python objects and operations, Numpy for statistical and matrix operations, matplotlib and Plotly for visualisations, and Pandas, a comprehensive data manipulation and analysis package. Participants will learn how to input, read, write, and manipulate data, primarily using Pandas, and be instructed in all the aspects of procedural programming in Python, allowing them to create their own Python modules. Jupyter Notebooks will be featured as the recommended interface to write code, explore and analyse data, and to document and communicate the results of the data analysis with interactive visualisations. The course is focused on providing a foundation for participants to use Python for exploratory data analysis and visualisation, which can be used as a stepping stone to machine learning using the popular scikit-learn package and deep-learning packages unique to Python. Familiarity with Python will allow users to use packages and access data and web services that have existing connections to Python, e.g. natural language processing, APIs, and web scraping.

Data Transformation and Analysis Using Apache Spark – Melbourne

December 2 @ 9:30 am - December 3 @ 5:00 pm

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 [...]

Stream and Event Processing Using Apache Spark – Melbourne

December 10 @ 9:30 am - December 11 @ 5:00 pm

Advanced Analytics Using Apache Spark – Melbourne

December 12 @ 9:30 am - December 13 @ 5:00 pm

Data Governance 1 – Melbourne

January 26, 2020 @ 9:30 am - January 27, 2020 @ 5:00 pm

Data Science and Big Data Analytics: Best Practices and Avoiding Pitfalls – Melbourne

February 19, 2020 @ 9:30 am - 5:00 pm

Data science is the key to business success in the information economy. This one-day workshop will teach you about best practices in deploying a data science capability for your organisation. Technology is the easy part; [...]

Persuasive Presenting Masterclass – Melbourne

February 25, 2020 @ 8:00 am - February 26, 2020 @ 5:00 pm

This is a highly interactive course that has transformed the careers of many analytics and technical teams in the past. It goes well beyond just ‘presenting’ and its influence and effect bridges across to communication [...]

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