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Data Science with Python Workshop

Brian Sletten's Data Science with Python Workshop

Join this workshop to gain the skills you need to get started with data science, including statistical and numerical methods and Python. You will learn about visualising data, big data environments and how to interact with linked data in Python. Upon completion of the workshop, you will have an understanding of relevant languages and tools as well as an appreciation of the discipline to be data-driven, but not data-driven off the road.

There is a rush to hire data scientists these days, and a coincident rush to update resumes to include the term "Data Scientist". Unfortunately, like most types of science, it is less a single topic and more a multi-disciplinary way of thinking, inquiring and communicating. Individuals do not need to know everything about the field, but teams should be composed of individuals who collectively do. This workshop will equip you with the tools you need to develop a study plan for working with data and moving on to becoming a Data Scientist.

About the Author

Brian Sletten is a renowned consultant, speaker and software engineer with a focus on forward-leaning technologies. He provides advice and practical solutions for organizations interested in adopting disruptive technologies and concepts to their development and management.


This course is intended for anyone who works as a developer, DBA, manager or in a business-oriented role with a technical leaning. It will be an engaging, hands on exposure to a wide variety of new skills as well as a path for moving forward in these various disciplines.


Learning Objectives

Learn how to:

Apply the following skills to your progression to become a Data Scientist:

  • Maths
  • Statistics
  • Machine learning with scikit-learn
  • Visualisation
  • Python numerics and data manipulation with libraries numpy, pandas and matplotlib
  • Open source Data Science Tools
  • Big Data
  • Linked Data


This course is intended for a wide audience and assumes only general programming skills.

Bring your own hardware

To participate in this course you are required to bring your own laptop so that you can develop with your own tools and languages. If you are unable to bring you own laptop, please let us know at least two weeks prior to the course start date, and our team will be able to provide you with the appropriate environment.

Course Content

  • Data Science as a field
  • Basic statistics and numerical methods for dealing with data
  • Data analysis in spreadsheets
  • The Python programming language, its environment and online ecosystem
  • Visualisation packages
  • Interactive with and visualising data
  • Interacting with Big Data environments
  • Interacting with Linked Data

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Online Courses

You may prefer an online course if you are looking for a flexible and cost-effective solution. Online courses allow you to study at your own pace, at a time that suits you.

We have the following eLearning options available:

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