Data literacy for digital transformations – business education for the 21st century
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.
Digital transformations aim to use data to provide insights and guidance that computers alone cannot. Interpreting data insights requires “data literacy”; skills which are doubly important for anyone working alongside, supporting, leading, or hiring a data science and analytics team.
What is Data Literacy?
Data literacy is the ability to identify, locate, interpret and evaluate information and then communicate key insights effectively. (Australian Public Service Commission, 2018)
We believe data literacy means a non-expert level of ability to competently turn data into useful knowledge, and apply that knowledge to drive effective decision making. All professionals will need to be data literate in an automated, decision-focused future.
Data Literacy for Everyone covers a broad range of what are now important business 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
Critical thinking skills for reading data insights are becoming core skills for 21st century workplaces. The course covers how to think rigorously and abstractly about evidence-based decision-making and manipulate data accordingly. It introduces a range of skills and applications related to logic and 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.
The course is highly recommended for managers and workers who have not had quantitative work as the basis of their career to date, for business analysts and for many IT professionals. The main tool used will be Microsoft Excel, and other tools for data manipulation, data analysis and data visualisation will also be introduced, with hands-on exercises. There are no prerequisites beyond high-school mathematics; this course has been designed to be approachable for everyone.
Educational Support for Digital Transformations
Effective digital transformation requires more than technology and skilled specialists. It means that the humans in the organisation are not left in the 20th century, but acquire the skills necessary to be productive in the 21st.
This course is specifically designed to support digital transformation efforts in organisations big and small. Think of it as business analytics training for the whole organisation. Training your staff in data literacy as a business capability will improve your organisation’s ability to succeed in making data analytics and analytics insights an integrated part of the business process. The natural extension course for managers is Data-Driven Decision-Making.
Discounts
Face to face public courses: early bird pricing is available until 2 weeks prior. Group discounts: 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.
Online public courses: available at a 25% off the face-to-face courses as a special introductory price. to groups or to individuals who want to follow a curriculum program and attend multiple courses:
- 2-4 courses/attendees 10% off
- 5+ courses/attendees 20% off
Hurry as bookings will close 1 week before each course. Group discounts are calculated during checkout on individual courses. Individuals can book multiple courses at a discount – please enquire.
Additional Information – Data Literacy for Digital Transformations (Everyone!)
Audience | C-Suite, Management, Business This is a must-do course for any white collar professionals looking to add value in the 21st century. This is therefore a course of immediate relevance to anyone in all departments including sales, project management, marketing, HR, operations, and others, as well as the senior management suite. It is a also a prerequisite for management-level decision making courses. |
Prerequisites | No prior knowledge is required to take this course. |
Objective |
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Format | Class |
Duration | 2 days |
Course Author | Dr Eugene Dubossarsky |
Trainer | Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors. |
Delivery Method | Online, in-person at AlphaZetta Academy locations or on-premise for corporate groups |
Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.
This is a must-do course for any white collar professionals looking to add value in the 21st century.
This is a must-do course for any white collar professionals looking to add value in the 21st century.
Scheduled Public Courses
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Private and Corporate Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours, or online. Please enquire to discuss your needs.
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Testimonials
Eugene’s courses are not your standard technical courses where you learn how to put data into a model and get a result. The real life experiences – warts and all – he brings to the instruction mean that attendees walk away with a better understanding of the real life challenges of analytics as well as the technical know-how. We routinely send our team members on these courses to help them get the capabilities that really help our clients get better insights from their data.
Eugene’s introductory course to data science was outstanding. I found the subject matter and delivery fascinating, accessible and informative. Eugene is approachable, interesting to listen to and excellent at simplifying complex concepts. I highly recommend this course for anyone who wants to know what data science—and all the buzz surrounding it!—are all about.