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GitHub topics: data-analyst-with-python

Mr-Chang95/Portfolio

Daniel Chang's Portfolio

Language: Jupyter Notebook - Size: 57.8 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 22 - Forks: 7

PiyushRaj714/Data-Analyst-Project-Series

Data-Analyst-Project-Series

Size: 4.61 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

ShantanilBagchi/DataCamp

DataCamp: 1) Data Scientist with Python 2) Data Analyst with Python 3) Data Analyst with SQL Server 4) Machine Learning Scientist with Python

Language: Jupyter Notebook - Size: 226 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 107 - Forks: 67

DeleLinus/Ford-GoBike-System-Data-Exploration

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

Language: HTML - Size: 421 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 2

emmanuelbogun/Data-Exploration-of-Ford-GoBike-System

Data Exploration of FordBike System is the final project of the Udacity Data Analyst Nanodegree. The dataset includes information about individual rides made in a bike-sharing system covering the greater San Francisco Bay area. It was requested to investigate this dataset to get at least some insights.

Language: HTML - Size: 2.49 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

DeleLinus/WeRateDogs-Wrangle-Analyze-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.

Language: HTML - Size: 1.86 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

DeleLinus/US-BikeShare-Data-Analysis

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.

Language: Python - Size: 179 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1