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.
- 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
- 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