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
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.