Data Collection and Cleaning

Module 4: Data Collection Methods

Lesson 1: Types of Data

  • Structured vs. Unstructured Data
  • Quantitative vs. Qualitative Data
  • Data Formats

Lesson 2: Data Sources

  • Public Datasets
  • Internal Data Sources
  • Data Sharing and Access

Lesson 3: Web Scraping

  • Basics of Web Scraping
  • Libraries (e.g., BeautifulSoup, Scrapy)
  • Handling Web Data

Lesson 4: APIs and Data Collection

  • Introduction to APIs
  • Making API Requests
  • Handling API Responses

Module 5: Data Cleaning

Lesson 1: Introduction to Data Cleaning

  • Importance of Data Cleaning
  • Common Data Issues
  • Data Cleaning Techniques

Lesson 2: Handling Missing Values

  • Methods for Handling Missing Data
  • Imputation Techniques
  • Data Deletion

Lesson 3: Data Transformation

  • Data Normalization
  • Data Standardization
  • Feature Engineering

Lesson 4: Data Normalization and Standardization

  • Normalization Techniques
  • Standardization Techniques
  • When to Apply Normalization and Standardization