Data science allows organisations to understand and interpret swathes of data and gain insights that allow for smarter decision making, driven by data.

This two-week course provides an overview of the key concepts in data science, from understanding regression to using K-means clustering.

Discover new data analysis techniques through engaging data science projects

Whether you’re beginning a career in data science or want to understand your organisation’s data better, this course will strengthen your knowledge of data analysis tools and techniques.

You’ll complete practical projects that will demonstrate real-world applications of data science. This will allow you to assess different data science scenarios and choose the best approach, grounded in a broad knowledge of data analysis methodology.

Explore data visualisation tools and methods

You’ll delve into different types of data analysis and explore how to create effective data visualisation using MySQL. Using case studies as a starting point, you’ll discover step-by-step data visualisation processes, from gathering the data to displaying the output.

With this knowledge, you’ll be able to solve problem statements with data visualisation and be able to apply this knowledge to your own work.

Develop your data manipulation and interpretation skills

Having explored data analysis methods, you’ll then learn to evaluate and interpret this data in a meaningful way.

With a solid understanding of how to collect, review, and evaluate data, you’ll be able to explain your findings and the supporting methodology.

By the end of this course, you’ll understand applied data science methods and concepts. You’ll have gained insights into a variety of analytical approaches to data and be able to use these to interpret data effectively.