Data Science 101 for Non-Data People:
Even though technology now permeates every aspect of our lives – from how we connect with others, to how we pay for gas – the world of data, Artificial Intelligence, and Machine Learning is still so enigmatic to many of us. But the potential for these technologies to be used to break new ground and make substantial advancements in the social impact sector are real – and we want to make sure that you’re ready for it when it happens! On the other hand, we know that data can also be used as a weapon for mis/disinformation and to further inequities, systemic racism and discrimination. To ensure data is used for the greater good, we need to be knowledgeable and comfortable with data science concepts and their application to social issues.
Join us for an introduction to the world of Data Science, where experts working in the field will go over basic concepts and knowledge to guide the not-so-data savvy among us
In this webinar, you will learn:
Software Engineer, Assistant Professor at Mount Royal University
Yasaman Amannejad is an Assistant Professor at Mount Royal University. She received her Ph.D. in Software Engineering from the University of Calgary.
Yasaman's research interests are building innovative solutions for real-life challenges, applied machine learning, and large-scale data analytics. Her research is published in many conferences and journals and is recognized by several research grants, such as Petro-Canada Young Innovator Award, Natural Sciences and Engineering Research Council of Canada (NSERC), and New Frontiers in Research Fund. Yasaman is also a selected member of the NSERC and the National Science Foundation (NSF)on integrating consideration of diversity in NSE research. Yasaman is currently involved in different projects and is collaborating with experts from academia and industry on developing innovative predictive and preventive solutions for social and healthcare challenges. To learn more, visit her website at http://mru.ca/amannejadRead
Dr. Matthew Parker
Executive VP, Innovation & Technology
Matt joined the HelpSeeker team in Nov 2020 with a background in driving innovation in the public sector and a heavy focus in healthcare. Matt has deep experience in driving innovation forward and developing commercialization strategies for these products. Previous to his work in AI/ML, Matt worked in commercialization and innovation in Toronto for Sinai Health System. Matt has obtained his PhD in Biochemistry from the University of Victoria and an MBA from the Schulich School of Business.Read
Dehao (Dee) is a data analyst with a bachelor’s degree in Mathematics and Economics and has also has completed the post-Baccalaureate diploma of data science and analytics at the University of Calgary.
He has strong proficiency in data analytical programming such as Python, R and data visualization tools such as Tableau. He also has experience working in the Canadian financial industry. Dee supports the team with data wrangling, building and modifying models, and analyzing the hidden patterns behind data by creating visualizations and applying machine learning algorithms.Read
Sr. Manager, Research & Data
Chantal brings 15 years’ experience in the field of health and human services with a focus on the collection, interpretation, and visualization of data to inform policy and programming. She has expertise in developing and implementing databases, online database governance, privacy regulation and practices, and using data to make better decisions.
Chantal’s special interest is Geography: understanding where things are found, why they are there, and how they develop and change over time. She utilizes Geographic Information Science (GIS) technology, as its spatial focus embraces the idea of interconnectedness.