Assigments and project for SOFT8032 Programming for Data Analytics 26756
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Updated
Apr 14, 2019 - HTML
Assigments and project for SOFT8032 Programming for Data Analytics 26756
Tokyo Gig Guide Python web scraping and data analysis project
An analysis of A/B Test results to help an e-commerce site decide whether or not they should implement a new page design.
This repository contains all of the code, projects and reports that I wrote as I pursued my Udacity - Data Analyst NanoDegree.
Data Visualization & Communication with Data Findings
Perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that convey findings.
Analysis of Loan Data from Prosper
Data Science project using decision tree classifier
In this project, you will perform an exploratory analysis on data provided by Motivate, a bike-share system provider for many major cities in the United States. You will compare the system usage between three large cities: New York City, Chicago, and Washington, DC. You will also see if there are any differences within each system for those user…
Azure Databricks notebook sample to connect Blob Storage of Azure Log Analytics
The DAND Program is a course that helps to learn how to wangle, analyze and visualize data using Python and its libraries.
Analysis of Uber's Ridership Data for NYC.
The dataset I wrangled (and analysed and visualized) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs. WeRateDogs is a Twitter account that rates people's dogs with a humorous comment about the dog.
Ford GoBike System Data Exploration and Findings Communication: This document explores a dataset with information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area in 2019
We will analyze a dataset provided by an e-commerce marketplace called [Olist](https://www.olist.com) to answer the CEO's question: Should Olist remove underperforming sellers from its marketplace? How to increase customer satisfaction (so as to increase profit margin) while maintaining a healthy order volume?
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