Aimee Gott
About Aimee Gott
Aimee Gott is the Head of Certification Content at DataCamp, where she has worked since 2021. She holds a PhD in Statistics from Lancaster University and has extensive experience in data science consulting and training across various industries.
Current Role at DataCamp
Aimee Gott serves as the Head of Certification Content at DataCamp, a position she has held since 2021. In this role, she is responsible for overseeing the development and management of certification programs that validate learners' skills in data science. Her work focuses on ensuring that the content meets industry standards and effectively assesses learners' competencies.
Previous Experience at DataCamp
Prior to her current role, Aimee Gott worked at DataCamp as the Head of Skill Assessment Content from 2019 to 2021. During this period, she focused on creating assessments that accurately measure the skills of data science learners. Her contributions helped shape the evaluation processes used in DataCamp's learning platform.
Career at Mango Solutions
Aimee Gott has extensive experience at Mango Solutions, where she held multiple roles. She worked as a Senior Data Science Consultant from 2016 to 2018, and prior to that, she served as a Data Science Consultant from 2013 to 2016. Her responsibilities included designing and delivering data science training, particularly in programming with R. She also held the position of Education Practice Lead from 2018 to 2019.
Educational Background
Aimee Gott has a strong academic background in mathematics and statistics. She earned a Bachelor of Science (BSc) in Mathematics and Statistics from Lancaster University from 2005 to 2008. She continued her studies at the same institution, obtaining a Master of Science (MSc) in Statistics from 2008 to 2009, followed by a Doctor of Philosophy (PhD) in Statistics from 2009 to 2012.
Publications and Contributions
Aimee Gott co-authored the book 'SAMS Teach Yourself R in 24 Hours', which serves as a resource for individuals looking to learn R programming. Additionally, she has contributed to various projects across industries, focusing on statistical analysis and the development of large-scale applications in Shiny.