This course enables students to model and interpret data. With a comprehensive combination of theory and practice, you will learn how to construct, analyse and present integrated data sets and deliver valuable insights for their organisations.
The course introduces you to Data Science concepts, principles of statistical analysis, data interpretation and visualisation techniques, aspects of probability models, data cleaning and manipulation, pattern recognition and learning and statistical methods.
Students will use Python programming language to solve work-based big data problems, learn how to classify data sets into structured, semi- structured and unstructured data and apply their own code to work with this data.
WHAT YOU WILL LEARN
On completion of this course, you will have created the following assets:
ASSIGNMENTS & ASSESSMENT
Assignments are centred on work-based business challenges.
Students will be given course-specific assignments that both reinforce the learning and provide work-based experience of applying new skills. All assignments are subject to a rigorous assessment framework.
Assessments for this specific course will include weekly quizzes.
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