Materials for following along with Hands-On Data Analysis with Pandas – Second Edition

Audiometry is an application framework written in C# and based on WPF and .NET that enables accurate digital recording, search, analysis, graphical visualization, and reproduction of human audio-vestibular impairment test data to assist in hearing loss or disability diagnosis.

# Analyzing-Visualizing-Data-PowerBI  This repository contains the lab files and other resources for the free Microsoft course DAT207x: Analyzing and Visualizing Data with Power BI. To learn how to con…

Foundational Python skills for Working with a real-world data set and a real-world inspired scenario to identify patterns and trends

Real time analytics: Kafka + Druid + Superset. Setting up streaming analytics using open source technologies -> Apache {Kafka, Superset, Druid} to set up a system that allows you to get a visualization of some data.

==> I made this repository to post my Programming code with Python and document my progress while Learning Python for Everybody Specialization From the University of Michigan in Coursera

Initial import of dataset for analysis & Data Visualization

14.Leaflet - Visualizing Data with Leaflet

CensusMapper is a browser-based, interactive mapping application used to visualize the results of the United States Census.

Repository for implementation details for Data-Science

Creating an interactive map with Leaflet.js

Predict Customer Churn for Banking Industry.

Students learn basic functional R commands/procedures whilst tying in key statistical content. Repository for ENGS93 text files

This is where I'll store files to demonstrate skills making interactive data visualizations using Shiny

Assignments of Data Science Class

Leaflet Challenge - Visualizing Data with Leaflet- Completed for UC Davis's data analytics and visualization Bootcamp

Program offered by IBM on learning to develop SW in Python, geared towards Data Science.

BI Project

This repo supports the project I produced for the Honors Track Assignment of the final Course 'Capstone - Retrieving, Processing and Visuallizing Data with Python' from 'Python for Everybody' Specialization by the 'University of Michigan' on Coursera.

Reviewed unstructured data to understand the patterns and natural categories that the data fits into. Used multiple algorithms and both empirically and theoretically compared and contrasted their results. Made predictions about the natural categories of multiple types in a dataset, then checked these predictions against the result of unsupervise…