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. 

AlphaZetta Academy is led by Dr Eugene Dubossarsky, a global expert in analytics and Managing Partner of AlphaZetta Academy.

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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.

core concepts in ai


AI and Data Science for Managers and Executives

Improve your project’s chance of success by avoiding common failures in AI and data science projects. This one-day workshop is aimed at current or aspiring leaders and managers of AI / machine learning teams and functions. The focus of the course is on the key concepts that are required to avoid the most common and far too frequent failures in AI projects and initiatives.

avoid common failures in AI and data science projects


Data Literacy for Everyone

This course is for workers and managers without a strong quantitative background. It introduces a range of skills and applications related to data literacy for digital transformations 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. There are no prerequisites beyond high-school mathematics; this course has been designed to be approachable for everyone.

data literacy and critical thinking


Data-Driven Decision-Making

The Data-Driven Decision-Making course is for executives and managers who want to leverage analytics to support their most vital decisions and enable better decision-making at the highest levels. It empowers senior executives with skills to make more effective use of data analytics. It covers contexts including strategic decision-making and shows attendees ways to use data to make better decisions. Attendees will learn how to receive, understand and make decisions from a range of analytics methods, including visualisation and dashboards. They will also be taught to work with analysts as effective customers.

data-driven decision-making


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.

Report automation - Excel to PowerPoint with R


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.

Optimising Business Engagement in Analytics


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.

Critical thinking for data analytics - Photo by Ashley Batz on Unsplash


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.

R training course


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.

python training for data analysis