Aimed at professionals who work with data and want to learn how to analyse, visualise and present results with Power BI.
3 Weeks (32h.) | No timetables
At the end of the course, you will be able to participate in data analysis projects, apply best practices in information quality and preparation, and generate powerful and functional visualisations using Power BI. You will be able to transform data into clear and useful reports for decision making in business and technical environments.
In this unit you will be introduced to the fundamentals of data science and the phases of the life cycle of a data science project. You will learn about the main roles involved and their function in the process, as well as the key aspects to guarantee data quality, a fundamental pillar to obtain reliable results.
In this unit you will learn how to clean, structure and organise raw data using Data Wrangling to make it ready for analysis. In addition, the management of data throughout its lifecycle will be addressed. At the end of the unit, you will apply these concepts through practical examples in Python, highlighting their importance in data analytics.
In this unit you will learn the fundamental principles of creating effective visualisations. You will see how to transform raw data into clear visual representations, exploring different types of graphics and their application. You will also learn the importance of using colour and Gestalt principles to improve the perception of patterns in your visualisations.
In this unit, you will be introduced to Power BI, a key tool for data analysis and visualisation. You will learn how to navigate its interface, understand the workflow including data acquisition and preparation, and how to transform, model and visualise data using the Power BI Editor. You will also see how to publish your reports efficiently.
English (UK)