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.
Learn how to:
Apply the following skills to your progression to become a Data Scientist:
- Machine learning with scikit-learn
- Python numerics and data manipulation with libraries numpy, pandas and matplotlib
- Open source Data Science Tools
- Big Data
- Linked Data
- 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
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.
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.