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September 2018

Predictive analytics, machine learning, data science and AI: Sydney, 20–21 September 2018

September 20 @ 9:30 am - September 21 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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Our leading course has transformed the machine-learning and data-science practice of the many managers, sponsors, key stakeholders, entrepreneurs and beginning data-science practitioners who have attended it. This course is an intuitive, hands-on introduction to data science and machine learning. The training focuses on central concepts and key skills, leaving the trainee with a deep understanding of the foundations of data science and even some of the more advanced tools used in the field. The course also covers key issues of…

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Introduction to Python for Data Analysis: Canberra, 20–21 September 2018

September 20 @ 9:30 am - September 21 @ 5:00 pm
Atlas Computer Training, Canberra, Level 1, 33–35 Ainslie Place
Canberra, ACT 2601 Australia
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Python is a high level and general purpose programming language. Millions of Python users contribute to a thriving open-source community that also enjoys immense commercial use and support. A core set of packages and interfaces (Jupyter Notebooks, Pandas, Numpy, scikit-learn) presents analysts and data scientists with an interactive and powerful tool to perform data mining, statistical analysis and visualisation. Data-science teams usually use at least one of Python and R in their production environments or analysis pipelines. Python is also…

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Advanced Machine Learning Masterclass: Sydney, 25–26 September 2018

September 25 @ 9:30 am - September 26 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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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. Topics covered will include data exploration, data preparation, feature engineering, and prediction, using advanced modelling techniques including glmnet, xgboost, and random forests. Participants…

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Advanced R: Canberra, 25–26 September 2018

September 25 @ 9:30 am - September 26 @ 5:00 pm
Atlas Computer Training, Canberra, Level 1, 33–35 Ainslie Place
Canberra, ACT 2601 Australia
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This class builds on the introductory R class, providing students with powerful, modern R tools including pipes; the tidyverse—featuring the powerful dplyr and tidyr packages for data manipulation, along with many other packages that make coding for data analysis easier, more intuitive and more readable; and the tibble data type that makes it possible. The course will also provide a deeper view of functional programming in R, which also allows cleaner and more powerful coding. R Markdown and R Notebooks…

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Advanced R: Sydney, 27–28 September 2018

September 27 @ 9:30 am - September 28 @ 5:00 pm
BCA, Sydney, BCA, Level 1, 65 York Street
Sydney, New South Wales 2000 Australia
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This class builds on the introductory R class, providing students with powerful, modern R tools including pipes; the tidyverse—featuring the powerful dplyr and tidyr packages for data manipulation, along with many other packages that make coding for data analysis easier, more intuitive and more readable; and the tibble data type that makes it possible. The course will also provide a deeper view of functional programming in R, which also allows cleaner and more powerful coding. R Markdown and R Notebooks…

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