There are 7 repositories under data-analyst-nanodegree topic.
Kai Sheng Teh - Udacity Data Analyst Nanodegree
Repository for the projects needed to complete the Data Analyst Nanodegree.
Udacity nanodegree projects: DLND, DRLND, DAND
Nanodegree programs https://www.udacity.com/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
Code and Projects for Data Analyst Nanodegree.
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
This repository contains a collection of all the capstone projects made for the Data Analyst Nanodegree Certification - Udacity
Projects for Udacity Data Analyst Nano Degree
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
Udacity Machine Learning Engineer Nanodegree capstone proposal.
My journey through Udacity & Bertelsmann Data Science Scholarship
Data Science Portfolio - DAND - Udacity - Projects -Data Analytics
EDA Project from Udacity developed using the Prosper dataset
Overview of the Udacity Data Analyst Nanodegree
Udacity Nanodegree Program, a data analysis project using the Pisa2012 dataset.
To find factors that are important to know in order to predict if a patient will show up for their scheduled appointment
United States Bikeshare data analysis is a capstone project for a Data Science Internship program at Wejapa. This is a project that make use of Python to explore data related to bike share systems for three major cities in the United States—Chicago, New York City, and Washington. It contains code that imports the data and answers interesting questions about it by computing descriptive statistics. Also, there's a script that takes in raw input to create an interactive experience in the terminal to present these statistics.
I wrangled and analyzed the WeRateDogs (@dog_rates) Twitter data
This repository contains projects for Udacity's Data Analyst Nanodegree
Use Python to perform Data Wrangling (gathering, assessing, cleaning) of WeRateDogs Twitter account & archive, followed by storing, analyzing and visualizing the wrangled data.
This is a data analytics project focusing on data wrangling three separate sources of data for famous Twitter account We Rate Dogs.
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 >supplemented with state level data from census.gov.
Data analysis of the TMBD data set to generate insights and find trends in the data
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.
This is the 3rd project in the Udacity Data Analyst Nanodegree program he data consists of information regarding 183,000 rides made in a bike-sharing system covering the greater San Francisco Bay area.
This repository contains the full project code for the Udacity Data Analyst Nanodegree Project 3. I chose the Prosper Loans dataset, for this exploratory and explanatory data analytics project. The dataset contains 113,937 rows (loans) with 81 columns (loan variables/features).
Python visualization libraries were used to systematically explore a selected dataset, starting from plots of single variables and building up to plots of multiple variables.
This project is about exploring bike sharing system, trying to see any relationship between any of the attributes in the dataset. (Udacity Data Analyst Nanodegree Program)
Udacity-DataAnalystND-P1-Investigate-a-Dataset TMDb movie data This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue. In this project, I will analyze a dataset and then communicate findings about it. I will use the Python libraries NumPy, pandas, and Matplotlib.
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.
Udacity-DataAnalystND-P3-Communicate-Data-Findings Choose a dataset, either your own or a Udacity-curated dataset, and perform an exploratory data analysis using Python. Then, create a presentation with explanatory plots that conveys your findings.
The DAND Program is a course that helps to learn how to wangle, analyze and visualize data using Python and its libraries.
Udacity Data Analyst Nanodegree - Project I