Welcome to the eleventh episode in our “Meet the Mentor” series where we get to know Flatiron School mentors in an interview-style conversation. Whether you’re just starting out or looking to level up, these stories are packed with practical advice, encouragement, and insights to help you navigate your own path in tech. Each article includes
Starting a journey in data science can feel like navigating a vast, uncharted territory. With so much data available across every industry, from healthcare to finance, how do professionals transform raw information into valuable insights? The answer lies in having a structured, reliable process. One of the most trusted frameworks in the industry is CRISP-DM.
Welcome to the ninth episode in our “Meet the Mentor” series where we get to know Flatiron School mentors in an interview-style conversation. Whether you’re just starting out or looking to level up, these stories are packed with practical advice, encouragement, and insights to help you navigate your own path in tech. Each article includes
The data science field is evolving at a rapid pace. New papers, tools, and benchmarks emerge weekly, making it challenging to stay current. We sat down with Frances Cue, a data scientist / AI engineer at Hartford HealthCare and one of our data science facilitators, to discuss practical strategies for keeping up in this fast-moving
A career in artificial intelligence isn’t just about working with cutting-edge technology. It’s also about solving real-world problems, improving lives, and shaping the future. As industries continue to adopt AI at a rapid pace, the demand for skilled professionals is growing across sectors like healthcare, retail, and finance. Whether you’re passionate about machine learning, data
When I first started exploring data science, the field felt both exciting and overwhelming, with so many tools, algorithms, and career paths to consider. And I’m not alone: the Bureau of Labor Statistics projects a 34% growth in data scientist jobs by 2032, while AI-driven roles are expanding rapidly. With innovation accelerating through machine learning,
Python remains one of the most popular programming languages, and for good reason. Whether you’re a beginner looking to break into tech or an experienced programmer expanding your skill set, Python is a versatile and powerful tool. From data science and machine learning to web development and software development, Python is the go-to language for
Neural networks, supervised learning, reinforcement learning — what are they, and how will they impact our lives?
JavaScript, Python, C/C++ — what data science programming language should you learn if you want to become a data scientist in 2021?
The words “AI,” “job loss,” and “layoffs” can usher in uneasy feelings for people working in tech. Many of us have seen talented peers lose jobs in the shifting market. The World Economic Forum’s (WEF) Future of Jobs Report 2025 predicts, “By 2030, AI and other information processing technologies will transform 86% of businesses, creating
In her Meet the Mentor interview, she shares how curiosity and a deep passion for learning led her to explore many different applications of data science across industries. From biomedical engineering and aerospace manufacturing to becoming a data scientist, her story is a powerful example of how embracing change and following your curiosity can lead to a fulfilling and purpose-driven career in tech.
A Shift Toward Permission-Based Access Cloudflare announced a significant change to how AI companies interact with websites across its network. Cloudflare’s infrastructure supports nearly 20% of the internet’s sites, which is huge. Going forward, AI crawlers will be blocked by default unless they have explicit permission to access content. This change applies to new domains
Modern data scientists combine technical skills with business acumen to drive data-driven decisions The field of data science has evolved dramatically, transforming how organizations handle large datasets and make business decisions. Today’s data scientist job description extends far beyond traditional statistical analysis, encompassing everything from machine learning algorithms to business intelligence. Whether you’re pursuing a
Software is hierarchy A respected engineering colleague once told me that the hallmark of an exceptional software engineer is that they can create a great document outline. Software engineering is a profession that requires humans to become adept at thinking like machines – organized, hierarchical, logical. It requires a certain knack for creating a mental