Sports Data Analytics - (Power BI, Python, Tableau etc.) - Lorna Belford #42 Keep updated and connect with me via my website 👉🏼 https://www.chris-gill.comThis podcast is sponsored by In-Play Online! Tag and analyse your sports videos like the professionals. All from just £10/month!Check it out here 👉🏼 https://in-playsports.com/software/individuals?fpr=chrisgill_ukUse code GILL20 for 20% discount!◽️◽️◽️◽️◽️◽️The guest for this video is Lorna Belford, the Performance Data Lead at the UK Sports Institute. Lorna explains what she gets up to in her role, and explains the tools that she uses now, and has done in the past to help gain better insights across a range of sports.Lorna also spent some time in the golf sector, carrying out some really interesting tests on golf balls, clubs, and even turf.We speak about (and Lorna gives some advice) on Tableau, Power BI, Python, SPSS, Matlab, Minitab and others. If you have any questions, please leave a comment below, and don't forget to subscribe to the channel if you haven't already!The books Lorna mentioned:Data Visualisation (Andy Kirk) - https://amzn.to/3TYuipJInvisible Women (Caroline Criado Perez) - https://amzn.to/3to8Q2w TLDR email that Lorna mentioned - https://tldr.tech/ 0:00 - Introduction1:59 - Lorna joins, the difference between data analyst/engineer/scientist6:41 - Dashboards, the UK Sports Institute9:17 - Lorna's education and background13:19 - Lack of female representation in data roles21:05 - Lorna's interesting roles in golf29:58 - Matlab, Minitab, VBA for Excel34:10 - Lorna's current role (Performance Data Lead)43:53 - Tips for Tableau and Power BI52:08 - Other tools, different tech stacks of different teams54:46 - Case study explains work with UK diving and swimming teams59:52 - Lorna gives 3 tips to get started1:03:37 - Book recommendations, summary, where to find Lorna◽️◽️◽️◽️◽️◽️PAID RESOURCES 💻 Video Analysis Software (GILL20 for 20% off) - https://in-playsports.com/software/individuals?fpr=chrisgill_uk 📊 Learn data skills with Data Camp: https://datacamp.pxf.io/WqBZGA