This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

Pranav e17e9c937c Include R Language 6 years ago
P0 - Bay Area Bike Share Analysis 8c6f1e8b1e Add All Projects 6 years ago
P1 - Test A Perceptual Phenomenon 8c6f1e8b1e Add All Projects 6 years ago
P2 - Investigating Lahman's Baseball Database 8c6f1e8b1e Add All Projects 6 years ago
P3 - Wrangling OpenStreetMap Data 8c6f1e8b1e Add All Projects 6 years ago
P4 - Exploratory Data Analysis e17e9c937c Include R Language 6 years ago
P5 - Identifying Fraud from Enron Email Dataset 8c6f1e8b1e Add All Projects 6 years ago
P6 - North-Korea's Missile Testing History 8c6f1e8b1e Add All Projects 6 years ago
.gitattributes e17e9c937c Include R Language 6 years ago
Certificate.jpg 8c6f1e8b1e Add All Projects 6 years ago
License.txt 8c6f1e8b1e Add All Projects 6 years ago
README.md 821c7b570f Added Project Links 6 years ago

README.md

Udacity: Data Analyst Nanodegree

This repository contains the projects completed as a part of Udacity's Data Analyst Nanodegree.

Certificate of Completion

Contents

P0: Bay Area Bike Share Analysis

Using bike-rental data provided by Bay Area Bike Share, insights on ridership patterns are discovered. The data investigation is shared using a Jupyter Notebook.

P1: Test A Perceptual Phenomenon

In this project, Stroop Effect, a classic result of experimental psychology is verified using descriptive statistics and statistical testing.

P2: Investigating Lahman's Baseball Database

Investigation of a curated dataset sourced from Lahman's Baseball Database is done to study player-performance metrics for their significance in match-winning contributions & player's salary.

P3: Wrangling OpenStreetMap Data

OpenStreetMap data of San Francisco, California is audited, cleaned and stored in an SQLite database. The database is then queried to extract information related to users contributing to the database & the amenities in the region. The project also provides suggestions for improving the data quality.

P4: Exploratory Data Analysis

This project is about investigating a dataset on chemical properties and quality ratings of wine samples by using exploratory data analysis techniques. The primary research target of the investigation was to find the chemical properties that affect the quality of red wines.

P5: Identifying Fraud from Enron Email Dataset

With the help of machine learning techniques, a classification model is built to identify Enron Employees who may have committed fraud based on the public Enron financial and email dataset.

P6: Visualizing North-Korea's Missile Testing History

This project is a data visualization in the form of a Tableau story which summarizes the history of missiles tested by North Korea based on 'The James Martin CNS: North Korea Missile Test Database.'

License

Modified MIT License © Pranav Suri