Kai Sheng Teh - Udacity Data Analyst Nanodegree
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
A collection of my final project works for Udacity Data Analyst Nanodegree.
Udacity DAND 2018-2019
Udacity Nanodegree - Data Analyst - Wrangling, Exploring, Analyzing, and Visualizing Data
My journey through Udacity & Bertelsmann Data Science Scholarship
Data Science Portfolio - DAND - Udacity - Projects -Data Analytics
🔫 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. 🔫
EDA Project from Udacity developed using the Prosper dataset
Overview of the Udacity Data Analyst Nanodegree
An analysis of A/B Test results to help an e-commerce site decide whether or not they should implement a new page design.
Apply A/B testing for a client who want to change the layout of their website's landing page.
Udacity Data Analyst Nanodegree Project : Test a Perceptual Phenomenon (Stroop Effect)
Data analysis of the TMBD data set to generate insights and find trends in the data
Udacity-DataAnalystND-P2-Wrangle-and-Analyze-Data The dataset that you will be wrangling (and analyzing and visualizing) is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.
The DAND Program is a course that helps to learn how to wangle, analyze and visualize data using Python and its libraries.
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.
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. Gun shops call into this system to ensure that each customer does not have a criminal record or isn’t otherwise ineligible to make a purchase. The data has been …
Analysing the Kaggle Titanic dataset
Exploring US Bike-Share data of 3 major cities at the year 2016.
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