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Data Science with Python

Data Science for Change

Students will use and analyze data to better understand a problem, measure the scope of a problem, or understand how people are affected by the problem. They will learn more about cleaning a dataset and filtering by column, rows, and conditions.

Lessons

2.1 Data Science for Change

  • Project Kickoff: Data for Change
  • Using Data in the Social Sector
  • The Akshaya Patra Foundation
  • The Akshaya Patra Foundation
  • Step 1: Ask Questions

2.2 Big Data and Bias

  • Big Data and Bias
  • Big Data and Bias
  • Machine Learning and Human Bias
  • Machine Learning and Human Bias
  • Cognitive Biases
  • +3 more

2.3 Importing and Filtering Data

  • Importing and Filtering Data
  • Importing and Filtering Data
  • iloc
  • loc
  • Animal Sounds
  • +2 more

2.4 Conditional Filtering

  • Live Code - Conditional Filtering
  • Conditional Filtering
  • Instagram Filters
  • Book Conditions
  • Project: Import and Filter Your Data

2.5 Data Cleaning

  • Data Cleaning
  • Data Cleaning
  • Live Code - Data Cleaning
  • Dropping Data
  • Fixing Data Types
  • +4 more

2.6 Exploring with Visualizations

  • Analyzing Your Data
  • Live Code - Data Displays
  • Data Exploration Functions
  • Data Displays
  • Step 3: Analyze Data
  • +1 more

2.7 Interpret and Present

  • Your Dataset
  • Statistical Measures
  • Data Visualizations
  • Step 4: Interpret Data
  • Present Your Findings

2.8 Data Science for Change Quiz

  • Data Science for Change Quiz

Courses that include this module