Using data to provide insights and guidance that computers alone cannot, requires “data literacy”. This course explains how. With the advent of automation, humans’ role has become to do what computers cannot. Many more [...]
This course provides a foundation for using Python in exploratory data analysis and visualisation, and as a stepping stone to machine learning. You will gain 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. 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.
Many people today have been developed emotionally and mentally for an era that no longer really exists. This has created a critical soft-skills gap between current workforce ability and business requirements today. In this course participants learn to ‘readapt’ their soft skills so that they are aligned with a thriving 21st century business. They are also given a simple framework from which to continue the self-development so that the training instigates sustainable change. Through a mixture of tried and tested experiential and didactic learning techniques applied to the data science setting, participants develop the following skills relevant to innovative data scientists in the 21st century: creativity, a beginner’s mind, global citizenship, efficient communication, compassion, resilience, self-leadership, critical thinking, empathy, emergence/adaptability, self-awareness, & self-regulation. Equally, a deep appreciation for cultural, intellectual and gender diversity is gained.
Our most popular course is an intuitive, hands-on introduction to data science and machine learning. Our leading course has transformed the AI, machine-learning and data-science practice of the many managers, sponsors, key stakeholders, entrepreneurs [...]
With the advent of automation, humans’ role has become to do what computers cannot. Many more white-collar workers—perhaps all of them—will end up “working with data” to some extent. This course for managers and workers [...]
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 [...]
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 [...]
