Data Science

Data exploration uncovers patterns, anomalies, and relationships in datasets through descriptive statistics and visualizations. It sets the stage for advanced analysis and informs business decisions. Continue reading for a step-by-step exploratory data analysis using a sample dataset.

Gain insights into the key responsibilities of a data analyst role, plus the essential skills needed to succeed and the various career paths data analysts can travel down.

Join us on a journey to explore the art and science of data visualization. Discover the importance of mastering this skill, the various types of charts and graphs available, and the powerful tools that can bring your data to life.

Explore the essentials of data types and structures in this beginner's guide. Learn about integers, strings, floats, lists, dictionaries and more.

"When I found Flatiron School, I was excited about the opportunity to level up my coding skills and gain a deeper understanding of machine learning and AI."

Predictive modeling in data science involves using statistical algorithms and machine learning techniques to build models that predict future outcomes or behaviors based on historical data. It encompasses various steps, including data preprocessing, feature selection, model training, evaluation, and deployment.