Material from the previous year can be found on the course's dedicated public webpage: https://lse-dsi.github.io.DS101. This course is designed to introduce students to data science and its practice: ...
See How It Works for details. In this module, you will learn the foundations of visualization design. You will walk through the key components of a visualization, how we effectively represent data ...
Identify big data or large, distributed systems. Know when and when not to use big data. Practice software engineering fundamentals. Create an application that uses rest collaboration, event ...
This course is designed to introduce students to data science and its practice: how it works and how it can produce insights from social, political, and economic data. It combines accessible knowledge ...
From detecting and diagnosing issues to analyzing user interactions, Eric will showcase how these tools can be leveraged to make data-driven decisions and prioritize development efforts. In ...
Fundamentals can include measurable, quantitative data (like cash flow and debt-to-equity ratio) and qualitative, situational factors (like business model and competitive advantage). The most ...