Data Culture & Data Science Training Courses & Workshops
Learn everything from critical thinking and data literacy to data engineering, AI and data science
We’re different to other providers of data culture and data science training in the short course format because our focus is on teaching understanding of core concepts rather than on learning particular tools. Learn and be mentored by our highly experienced team of expert analytics trainers.
Our curricula are shaped to meet the demand for knowledge at all levels; from data practictioners and business users to management and C-suite executives. Curricula and courses can be customised to fit corporate needs and private delivery is available.
Online courses are run as live events taught by our expert instructors, enabling key mentoring and interactivity opportunities.
Negotiation and Influence Skills for Data Professionals
Using insights from neuroscience, this practical and interactive workshop explores the mechanisms underlying why influence attempts often go wrong, and what to do about it. We explore key threats inherent in communication and how they can unintentionally trigger resistance in others, resulting in disengagement and push-back. Participants will learn a framework and practical tools to help them influence more effectively by neutralising potential social threats and maximising the receptivity of others to their message.
Persuasive Presenting Masterclass
This is a highly interactive masterclass that has transformed the careers of many analytics and technical teams in the past. It goes well beyond just ‘presenting’ and its influence and affect bridges across to communication as a whole. It is run by Michelle Bowden, a 20+ year veteran and recognised leader in persuasive presentation skills and a coach to many business leaders.
Group sizes are limited to only 10 people – the learning experience is interactive, personalised, and packed with personal coaching from Michelle.
Report Automation – Excel to PowerPoint with R
Report automation can deliver powerful, time-saving results. This course teaches analytics professionals to automate the creation of PowerPoint packs from input Excel workbooks using R. Time is allotted for students to implement techniques taught so that, by the end of the course, students will have wrangled input data, created plots and tables, defined a PowerPoint template, and built a sample set of slides.
Optimising Business Engagement in Analytics
The Optimising Business Engagement in Analytics workshop is to improve team engagement in analytics projects by providing a common understanding of the activities involved in an analytics project. Participants also learn a process that helps them elicit a clear definition of business, data and analytics outcomes.
Critical Thinking for Data Analytics
This course is a vital first step in the data literacy journey, and the one that introduces the most vital and basic skills of the effective 21st century professional or leader. Working with data is not just about manipulating software tools : it is first and foremost about effective reasoning, using all available information. As such, this course loads the key “software” into the most vital hardware of the business – the human professional, enabling them to reason effectively with data, and thus realise the value that data analytics promises, deriving more reliable and correct insights and making better decisions.
Intro to R (+ data visualisation)
This R training course will introduce you to the R programming language, teaching you to create functions and customise code so you can manipulate data and begin to use R self-sufficiently in your work. R is the world’s most popular data mining and statistics package. It’s also free, and easy to use, with a range of intuitive graphical interfaces.
Intro to Python for Data Analysis
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.
Enterprise Digital Portfolio Management
The Enterprise Digital Portfolio Management course covers key concepts required to manage an enterprise digital investment portfolio, including classical and goal-driven approaches. The course considers both the organisational and technological change potential of such investments.
Fundamentals of AI, Machine Learning, Data Science and Predictive Analytics
This course is an intuitive, hands-on introduction to ai, data science and machine learning, it’s your artificial intelligence 101. The training focuses on fundamentals and key skills, leaving you with a deep understanding of the core concepts of ai and data science and even some of the more advanced tools used in the field. The course does not involve coding, or require any coding knowledge or experience. As our leading course, it has transformed the artificial intelligence (AI), machine learning (ML) and data science practice of the many managers, sponsors, key stakeholders, entrepreneurs and beginning data analytics and data science practitioners who have attended it.
