Module 1: Introduction to Data Science

Topics Covered

• What is Data Science?

  Data Science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

  • Data Science lifecycle
  • Key components: Data collection, analysis, and visualization
  • Applications in business, healthcare, and more
• Applications of Data Science

  Data Science is used across industries to make data-driven decisions:

  • Healthcare: Predicting diseases and optimizing treatment plans
  • Finance: Fraud detection and stock market prediction
  • E-commerce: Personalized recommendations and customer analysis
• Data Science Workflow

  The Data Science workflow involves the following steps:

  • Data collection: Gathering raw data from various sources
  • Data cleaning: Preparing data for analysis
  • Data analysis: Applying statistical and computational methods
  • Visualization and communication: Presenting findings effectively