Data Literacy for Everyone
Data Literacy for Everyone
Date: To be confirmed
About the course
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.
Using data to provide insights and guidance that computers alone cannot requires “data literacy”, which is doubly important for anyone working alongside, supporting, leading, or hiring a data-science and analytics team.
Data literacy involves a broad range of skills, including:
an appreciation of the language of data
understanding uncertainty (expressed as probabilities) and complexity
interpreting relationships in data (multivariate correlation) and visual representations of them
reading visual representations of data
It also includes the ability to think rigorously and abstractly about evidence-based decision-making and manipulate data accordingly.
This course introduces a range of skills and applications related to critical thinking in such areas as forecasting, population measurement, set theory and logic, causal impact and attribution, scientific reasoning and the danger of cognitive biases.
It is highly recommended for managers and workers who have not had quantitative work as the basis of their career to date, and for many IT professionals. The main tool used will be Microsoft Excel, and other tools for data manipulation, analysis and visualisation will also be introduced. There are no prerequisites beyond high-school mathematics; this course has been designed to be approachable for everyone.
Having studied stats at Uni I was surprised how far the field has progressed in the last few years, particularly in the area of big data. The great thing about Eugene’s course is I left with a sense that I was up to date with the latest big data modelling concepts but more importantly could also deploy them with some confidence using R. Eugene also made it clear he was available to answer questions after the course, so you are not left hanging. I would absolutely recommend this!
—Damon Rasheed, CEO, Rate Detective
For someone who does not come from an IT background R is a terrifying program. Before doing the Introduction to R course I had previously done other courses in R but always found myself in over my head because they assumed a high level of program experience (even course that required no prior programming knowledge). This course is not like that at all. It starts at ground zero and teaches you everything you need to know to be able to use R confidently in your everyday workplace. It is a must attend for anyone who wants use R!
Data science can be a challenging topic but Eugene’s “Introduction to Machine Learning” course turns complex statistical models into plain English. The course contents and presentation were accessible and I enjoyed the mixture of hands-on rattle() exercises, the challenge of building multiple models with real life data, and the salient theory whiteboard discussions created many “aha” moments.
It was a great introductory course and it gave me with a better grasp of Machine Learning in general, a great framework for thinking about it and practical hands-on skills that I can put to immediate use. I wish I had done this course sooner.
—Charl Swart, Director of Business Operations, Unisys Credit Services
Courses are taught by Dr Eugene Dubossarsky and his hand-picked team of highly skilled instructors.
Meals and refreshments
Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.
Frequently asked question(s) (FAQ(s))
Do I need to bring my own computer?
There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.