Kai Sheng Teh - Udacity Data Analyst Nanodegree
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data-analyst-nanodegree
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Repository for the projects needed to complete the Data Analyst Nanodegree.
api data text-mining udacity statistics numpy pandas data-visualization seaborn dataset data-analytics data-analysis matplotlib data-wrangling tweepy data-gathering web-crawling data-cleaning data-analyst-nanodegree
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Udacity nanodegree projects: DLND, DRLND, DAND
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Nanodegree programs https://www.udacity.com/nanodegree
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Code and Projects for Data Analyst Nanodegree.
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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
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Udacity DAND 2018-2019
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A collection of my final project works for Udacity Data Analyst Nanodegree.
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This repository contains a collection of all the capstone projects made for the Data Analyst Nanodegree Certification - Udacity
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Udemy Course Data Analysis Explore the world of online learning with the Udemy Course Data Analysis project. Dive into the depths of Udemy's vast collection of courses to uncover insights about course prices, popularity, and more. Leveraging Python and data visualization techniques, this project provides a comprehensive overview of Udemy's course o
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Projects for Udacity Data Analyst Nano Degree
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Udacity Nanodegree - Data Analyst - Wrangling, Exploring, Analyzing, and Visualizing Data
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Udacity Machine Learning Engineer Nanodegree capstone proposal.
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🔫 The data comes from the FBI's National Instant Criminal Background Check System. The NICS is used by to determine whether a prospective buyer is eligible to buy firearms or explosives. 🔫
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Data Science Portfolio - DAND - Udacity - Projects -Data Analytics
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My journey through Udacity & Bertelsmann Data Science Scholarship
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In this advanced course, Learning the three phases of data wrangling: gathering, assessing, and cleaning data.
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Overview of the Udacity Data Analyst Nanodegree
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EDA Project from Udacity developed using the Prosper dataset
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Learning the data analysis process of questioning, wrangling, exploring, analyzing, and communicating data. Working with data in Python using libraries like NumPy and pandas.
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