Data Science and Machine Learning with Python

About this course

The course introduces key data science concepts, including structured and unstructured data, databases and big data, before exploring Python-based analysis. Participants work with Pandas for data manipulation and use Matplotlib and Seaborn to visualise findings. The machine learning component covers fundamental concepts and the use of Scikit-Learn and TensorFlow to create models. Teaching combines practical activities with a Personal Learning Plan, allowing the course to address individual learning needs.

What you'll learn

• Apply Python to basic data science tasks
• Manipulate datasets using Pandas
• Create data visualisations with Matplotlib and Seaborn
• Use statistical methods to analyse data
• Build introductory machine learning models with Scikit-Learn and TensorFlow

Is this course right for you?

The course is intended for improver-level learners rather than complete newcomers to IT. Participants need a basic understanding of programming, preferably in Python, and must be able to use a computer.

• Requires basic programming knowledge
• Python familiarity is preferred
• Not intended as a beginner IT course

Before you go

• Learners must be able to use a computer to join the course.