Udacity Data Analysis Nanodegree

About

This repository contains all of my core and optional projects done for Udacity’s Data Analyst Nanodegree (short: DAND) programme. Language of instruction was primarily Python and R. The degree taught via theory and real life examples the following:

• Descriptive and Inferential Statistics
• Data Cleaning and Wrangling
• Explorative Data Analysis (taught by Facebook)
• Machine Learning
• Data Visualization with Tableau
• Data Visualization with D3.js
• Statistical A/B Testing Design (taught by Google)

In other words, all core aspects to stark working as a Data Scientist in real life projects.

Projects

• P0: Analyse Bay Area (California) Bike Share Data
• P1: Investigate the Titanic Dataset
• P2: Wrangle Düsseldorf’s OpenStreetMap Data with Python and SQL
• P3: Explore and Summarize Data with R: Who and why are People Leaving the Company?
• P4: Test a Perceptual Phenomenon: Stroop Effect
• P5: Identify Fraud from Enron Emails
• P6: Make an Effective Data Visualization in Tableau: Economic Freedom
• P7: Make an Effective Data Visualization in D3.js: Relationships in a Company
• P8: A/B Testing for a New Modal Window

Resources

Source files from all projects can be found on the Github repo site.