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Upcoming events (3)
** External Registration Required - will open 6th August ** This is a gentle beginner-level hands-on introduction to Power BI at a relaxed pace. We'll build some great visualisations and connect and wrangle our data into a good shape for analysis and visualisation. The format is a mixture of short presentations and demos and guided hands-on labs. There will be group of expert coaches to help you and answer any Power BI questions you may have. You will need to bring a laptop with the latest version of Power BI Desktop installed. Attendees will be in groups of about 6 people. Groups will work on three challenges and each challenge will have a choice of two exercises. The coaches will introduce the two exercises; explain the data and suggest why this may be an interesting challenge. At the end of each exercise, one or two groups will make quick presentation of their results. Draft Agenda 09:30 Welcome 09:40 Overview of Power BI 10:10 Getting started - our first Power BI Visualisation This will be a step-by-step guided exercise to get familiar with Power BI. We look at some schools in south London . 11:00 Break 11:15 Group Exercise – Challenge 1 Groups can choose either - Baby Names: should you call you child Harry or Hunter, Olivia or Audrey? - League Table: can you build a better league table than the BBC Sports design? 12:30 Lunch 13:15 Group Exercise – Challenge 2 Groups can choose either - Titanic: was it women and children first? - Workers: analyse number of UK workers by region, country of birth over last decade 14:30 Break 14:45 Group Exercise – Challenge 3 Groups can choose either - Longevity: A prediction of lifespan for men and women in 35 countries. Eastern European men may not want to choose this! - Text Analysis: Frequency analysis of a news article - simply a matter of filter, split, pivot, anti-join and group-by. 15:45 Resources for Improving Your Power BI Skills 16:00 Close
Founded in 1829, King’s is London’s most central university, with four campuses bordering the Thames and a fifth located in Denmark Hill. It is also one of the UK’s leading research universities, and teaches over 30,000 students. King’s excels in many areas, however its approach to data management, business intelligence and analytics weren’t amongst them. The previous approach had a lot of inconsistency, paucity of available information, siloed data, little automation and limited governance. One staff member describe the landscape as ‘data rich but intelligence poor’. Then in 2016, King’s implemented Power BI, and for the past three years it has used it to transform this use of data to inform decisions across the organisation. In this session, Matt Gordon, Associate Director of Data and Analytics at King’s College London, will give us an overview of the Power BI journey and how King’s has been using it to help transform the organisational culture around data and analytics. Matt will discuss the successes and failures, along with the lessons learnt throughout the process, and showcase a range of Power BI reports that have been created. Matt will cover off how we’ve developed staff to get through the DAX wall and create good data models. Additionally, he will talk about positive staff engagement and adoption – focusing on the organisation of seven successful hackathons involving over 300 staff members. Finally, Matt will discuss how the programme that began with Power BI has developed to include setting up an analytics infrastructure in Azure, including a data lake and a data warehouse.
** External registration required - will open mid October ** This is a free full day training to Power BI for people who work with data, no matter what their job title is. It will focus on the recently introduced capabilities to help analysts get to insight more quickly. This will include the visuals with unobtrusive helpful machine learning such as the Key Influencers. We'll show how to apply machine learning and cognitive services (such as text analysis) as we prepare the data. There will be full details and agenda once registration opens in October.