Data & Analytics
Data & Analytics covers machine learning, predictive modelling, and data mining. It involves collecting, processing, and analyzing big data to extract insights. Key areas include natural language processing, computer vision, and business intelligence. AI-driven analytics optimizes decision-making, automates processes, and uncovers patterns humans might miss, revolutionizing industries from healthcare to finance.
Simplify data + AI teams solve the world’s toughest problems
Databricks is a cloud-based platform for data and AI, unifying engineering, analytics, and machine learning. Built on Apache Spark, it handles big data efficiently and integrates with AWS, Azure, and Google Cloud. It also supports frameworks like Dash, Shiny, and Streamlit for building AI apps.
The world's largest community of data scientists
Kaggle is an online platform for data science and machine learning, offering competitions, datasets, notebooks, and learning resources. It allows users to collaborate, improve skills, and solve real-world challenges.