517: Courses in Data Science and Machine Learning

Episode Summary

Executive Summary: Sadie Saint Lawrence discusses her path from music and psychology into data science, the success of her popular Coursera SQL course, and her upcoming UC Davis machine learning certificate focused on practical, job-ready skills. She also explains Women in Data’s mission to increase diversity through awareness, education, and advancement, and shares her broader vision for data literacy, ethical tech, and future-facing innovations like NFTs and VR.

Main Topics: Coursera SQL Course and Teaching Philosophy: Sadie explains why SQL is foundational for beginners, how the UC Davis-Coursera partnership works, and why her course succeeded by making technical concepts accessible to non-technical learners. Upcoming UC Davis Machine Learning Certificate: She outlines a four-course certificate centered on applied machine learning, production deployment, deep learning, and project-based learning for career readiness. Women in Data Mission and Programs: Sadie describes the organization’s goal to increase diversity in data careers through awareness, education, and advancement, supported by webinars, mentorship, residencies, and partnerships. Career Path into Data Science: She shares her transition from piano performance and psychology into analytics, emphasizing how teaching music and leaving animal research led her toward data science. Data Literacy and Standardization: Sadie argues that SQL’s stability and standardized querying make it indispensable, and she extends that logic to the need for more standardization and ethical evaluation in algorithms. Future Tech, NFTs, and Ready Player One: She discusses interest in NFTs, VR, AR, and the metaverse, recommending Ready Player One as a useful lens on where technology and society may be heading.

Key Arguments: SQL is the right entry point for data careers because it is foundational, stable, and unlikely to disappear, unlike many rapidly changing tools. Teaching technical material well is a separate skill from doing the work; her piano-teaching background helped her learn to explain concepts multiple ways. Machine learning education should be applied and project-oriented, including production deployment and collaboration with data engineers and business stakeholders. Many education programs teach theory but not the practical realities of getting models into production and working across teams. Women in Data addresses both pipeline and retention by helping people enter, stay in, and advance through data careers. Data literacy should extend beyond professional data scientists to consumers and business people so they can make better decisions and participate in the digital economy. Standardization in data science, including how algorithms are built and evaluated, could improve ethics, usability, and impact. NFTs and related technologies are reshaping art, ownership, and potentially fashion, with broader implications for the future digital economy.

Data Points: Coursera students: over 300,000 - Sadie’s SQL course has reached more than 300,000 students all time on Coursera Course rating/status: one of the most highly rated - Her Coursera data science course is described as among the top-rated on the platform Female instructor milestone: first female data science instructor on the platform - Sadie was noted as the first female data science instructor on Coursera Women in Data community size: over 20,000 people - The organization’s current community size Women in Data chapters: 45 chapters - Global chapter network supporting local engagement Women in Data countries: 15 countries - Geographic reach of the organization Women in Data founded: 2015 - Year Sadie founded Women in Data Machine learning certificate courses: 4 courses - Intro to machine learning, supervised and unsupervised learning, applied machine learning, and deep learning Residency program duration: 8 weeks - Women in Data’s practical project program for career transitioners Residency cohort size: team of 10 people - Each residency program cohort works on a data science project together Participant salary outcome: over $100,000 - A residency participant landed a first data science job paying more than $100k NFT art sales: about $6 billion - Sadie cites the scale of art sold via NFTs Notable NFT artwork sale: $69 million - She references a famous Christie's digital art sale Book recommendation: Ready Player One - Her suggested book for understanding metaverse-related future trends

Pivotal Quotes: "if it will just help one person, I will be happy" — Sadie Saint Lawrence: Her mindset when designing the SQL course "data science and machine learning is a team sport" — Sadie Saint Lawrence: Her explanation of why applied ML education must include production and cross-functional collaboration "how do we empower people to become data literate and use that to make better decisions in every area of their life?" — Sadie Saint Lawrence: Her long-term vision for the field and Women in Data’s broader impact

Implications: The episode highlights a shift toward practical, job-ready, and inclusive data education. For listeners and the industry, it suggests future success will depend on data literacy, cross-functional ML deployment skills, and more accessible pathways into data careers.