Learn more. Projects are ordered by most recently added. Utilized Grid Search to tune the model for better performance. In Business Analytics Nanodegree Program I made Music SQL Database Project. ArticleVideos Overview Working on Data Science projects is a great way to stand out from the competition Check out these 7 data science projects … Details are provided in the Analytics Case Structure page. More than 56 million people use GitHub to discover, fork, and contribute to over 100 million projects. If nothing happens, download the GitHub extension for Visual Studio and try again. This is the 10th edition of our monthly GitHub … This repository is mainly for projects I have done under Udacity-Data-Analysis-Nanodegree. Private Universities (python) -- Performed K-Means clustering to see how K-Means clustering would categorize public and private universities. sql-ex.com SQL Exercise Solutions.md (SQL) -- Added the SQL query exercises I have been completing on sql-ex.com as a way to include more SQL code into this repository. I completed this capstone project as part of an online data science course. Ranking: 7.4k stars. Here are 7 Data Science Projects on GitHub to Showcase your Machine Learning Skills! Root Cause Analysis for Springboard Case Study (excel) -- Performed a root cause analysis (RCA) on manufacturing and sales data to identify the source of sudden rate of returns increase. Problem solving is a large portion of our knowledge base and … You signed in with another tab or window. I completed this project as a part of Springboard's Business Analytics course with the results approved by a mentor. The data and company are fictional. Udacity online data analyst program prepares me for a career as a data analyst by helping me learn to clean and organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. Our team pursues leading-edge research in the field of data science and business analytics … The data science projects … The purpose of this individual/pairfinal project is to put to work the tools and knowledge that you gain throughout this course. I complete the entire data analysis process, starting by posing a question and finishing by sharing the findings. The course is pivotal for everyone who wants to improve their analytical thinking and skills." Financial Crisis Bank Data - Capstone Project (python) -- An exploratory analysis of stock market data for 6 major banks throughout the 10 year period surrounding the financial crisis. Our Pick of 8 Data Science Projects on GitHub (September Edition) Natural Language Processing … Funnel Analysis for Springboard Case Study (SQL, excel) -- Created a Funnel Analysis to identify growth opportunities for online retailer. The students of Full Time NSS Data Analytics Cohort 1 would like to thank the following people and organizations.. NSS Staff. I completed this project as part of an online data science course. LinkedIn GitHub. Working on toy datasets and using popular data science … Here are some values that we would like to see in you: - Skills: You should have either a strong software engineering background or a strong ML/AI background. Establis… I completed this project provided by DataCamp. Unfortunately, there is a limit to the hourly number of requests so using the API is not a good solution if you’re looking to analyze large projects (or do some global analysis on a number of them). XSStrike. I completed this project as part of an online data science course. If nothing happens, download GitHub Desktop and try again. It will provide you with more experience using data wrangling tools on real life data sets. GitHub is much more than a software versioning tool, which it was originally meant to be. GitHub itself offers a public API to query any project. Are you ready to take that next big step in your machine learning journey? Here you can read how these partnerships empower on-the … If nothing happens, download Xcode and try again. Data Science Research Lab. 911 Calls -Capstone Project (python) -- An exploratory analysis of the dataset including descriptions of findings using the Montegomery County 911 Calls dataset available on Kaggle. I am developing proficiency in Python and its data analysis libraries (Numpy, pandas, Matplotlib) and SQ… Showcase your skills to recruiters and get your dream data science job. About: Airflow is a platform to programmatically author, schedule and monitor … Use Git or checkout with SVN using the web URL. Udacity online data analyst program prepares me for a career as a data analyst by helping me learn to clean and organize data, uncover patterns and insights, draw meaningful conclusions, and clearly communicate critical findings. Predicting Species of Iris Data Set using Support Vector Machines (python) -- Used Support Vector Machines to classify famous Iris dataset. You signed in with another tab or window. The artificial intelligence application digs into the collected data to analyze basketball shots. GitHub - arjunmann73/Data-Analytics-Projects: Data analysis with real world data sets using Python. The most obvious choice. ( It may be better to place this section inside the readme of the project 1). My message to all consultants is… The Chinook Database holds information about a music store. AI Basketball Analysis. Loan Default Prediction This project analyzes existing loan applicant data to … This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing. If nothing happens, download Xcode and try again. Advertising Predictions using Logistic Regression (python) -- Used Logistic Regression to predict whether users would click on an ad based on user data and to understand what are the leading factors to why users click on ads. Airflow. download the GitHub extension for Visual Studio, AB Testing Retention Rate for Mobile Game Company, Advertising Predictions Using Logistic Regression, Bank Authentication Classifier with Tensorflow, Decision Trees & Random Forest to Predict Borrower Payback, Ecommerce Analysis using Linear Regression, Financial Crisis Bank Data - Capstone Project, Funnel Analysis for Springboard Case Study, K Nearest Neighbors for Anonymized Data Set, K-Means Clustering for Determining Public vs. Implementing Slow Changing Dimensions in a Data Warehouse using Hive and Spark Hive Project- Understand the various types of SCDs and implement these slowly changing dimesnsion in Hadoop Hive and Spark. And version control is a key concept you’ll learn all about in this comprehensive free course on Git and GitHub for data … Now people from different backgrounds and not just software engineers are using it to share their tools / libraries they developed on their own, or even share resources that might be helpful for the community. Contribute to zepdev/data-analytics-case-study development by creating an account on GitHub. I am an experienced Business Process and Data Analyst with a demonstrated history of working in the Information Technology and Services industry for more than 5 years. I used statistical techniques to answer questions about the data and report my conclusions and recommendations in a report. I completed this project as part of an online data science course. How to develop Replicable and Reusable Analytics Projects As in the examples below, please crate a project on GitHub with the same GitHub structure as the projects below. This repository is mainly for projects I have done under Udacity-Data-Analysis-Nanodegree. 3. I completed this project as part of an online data science course. Read: Data Science Project Ideas and Topics. Bank Debts Recovery Analysis (python) -- Used Linear Regression, Chi Squared tests, and Kruskal-Wallis statistical test to confirm the validity of different levels of debt recovery strategy spending based on user expected return value. As a data scientist, a large part of your job is to self-direct your learning and interests to find unique and creative ways to find insights in data. These GitHub repositories include projects from a variety of data science fields – machine learning, computer vision, reinforcement learning, among others . K-Means Clustering for Determining Public vs. Here, I present six such open-source data science projects in this article. Using Python, I gathered data from a variety of sources, assess its quality and tidiness, then clean it. These are data analysis projects that I've worked on using Python, SQL and excel, utilizing visualization and various statistical analysis techniques to pull insights from data sets. I always try to keep a diverse portfolio when I’m making the shortlist – and this article is no different. If nothing happens, download the GitHub extension for Visual Studio and try again. Tips: For data science projects with python, I would recomend you to install numpy , pandas , scipy , scikit learn , matplotlib , seaborn thest basic libraries. I was provided a dataset reflecting data collected from an experiment. Arne Uekotter, INSEAD MBA 15J "I am working in BCG, and R and statistical techniques that we developed in class are extremely useful. The project/code I did at INSEAD on systematic investment strategies as a follow up to the Data Analytics class was the most challenging, but also the most rewarding experience during my MBA. Following the best repos on GitHub can be an immense learning experience. In this project, I choose one of Udacity's curated datasets and investigate it using NumPy and pandas. I completed this project provided by DataCamp. 9. This provides you with multiple benefits. I completed this project as part of an online data science course. This is part of our monthly Machine Learning GitHub … These projects span the length and breadth of machine learning, including projects related to Natural Language Processing (NLP), Computer Vision, Big Data and more. 2. Choropleth Mapping (python) -- Created geographical maps using plotly. ... Big data projects implemented by Maniram yadav. I completed this project as part of an online data science course. Eventbrite - Vanderbilt Data Science Institute presents Managing Analytics Projects in GitHub - Wednesday, February 24, 2021 - Find event and ticket information. Git and GitHub - two essential tools for any data science professional who wants to code. Decision Trees & Random Forest to Predict Borrower Payback (python) -- Created decision tree and random forest models to predict loan payback using Lending Club data. So imagine my joy when I came across this awesome project on GitHub! - Hard work: We expect you to have a strong work ethic. Our research focuses on developement of novel statistical methods for solving complex engineering problems. Switch Theme Portfolio Expert Data Analyst | Web Researcher | Automation Developer | Data Miner. I completed this capstone project as part of an online data science course. Inside this project, I queried the Chinook Database. This app is developed using Shiny and using regression models, it predicts the mileage of a car using … If nothing happens, download GitHub Desktop and try again. Please contact us for more information. Predicting Credit Card Approvals Using Logistic Regression (python)-- Used Logistic Regression to create a model that predicts credit card removal. Bank Authentication Classifier with Tensorflow (python) -- Used tensorflow to create a classifier that used image data from the Bank Authentication Data provided by the UCI repository to determine if a bank note was real or not. I completed this project as part of an online data science course. To view my Kaggle profile, you can use this link: https://www.kaggle.com/thealongsider, To view my work with Tableau, you can use this url: public.tableau.com/profile/brandon.massaro/. AB Testing Retention Rate for Mobile Games Company (python) -- Used the dataset from an A/B test for a mobile game to determine whether changing a game element to a different level improved user retention. "I work for an alternative asset management firm. You can easily find the AI web app and API under Python Projects on GitHub… Mileage predictor App using Regression Models. Contribute to thealongsider/Data-Analytics-Projects development by creating an account on GitHub. You’ll find projects from computer vision to Natural Language Processing (NLP), among others. Use Git or checkout with SVN using the web URL. This is an end-to-end Goodreads Data Pipeline for Building Data Lake, Data Warehouse and Analytics Platform. You not only see what are the best open contributions, b… It helps you become a self-directed learner. TSV), HTML files, TXT files, and JSON files, Store gathered data in a PostgreSQL database, Assess data visually and programmatically using pandas, Distinguish between dirty data (content or “quality” issues) and messy data (structural or “tidiness” issues), Identify data quality issues and categorize them using metrics: validity, accuracy, completeness, consistency, and uniformity, Identify each step of the data cleaning process (defining, coding,and testing), Test cleaning code visually and programmatically using Python, Univariate exploration of data ( histogram , bar charts , Use axis limits and different scales ), Bivariate exploration of data ( scatter plots , clustered bar charts , violin and bar charts , faceting ), Multivariate exploration of data ( encodings , plot matrices , feature enginnering ), Explanatory Visulizations ( story telling with data , polish plots , create slide deck ). Data visualization to a dataset involving the characteristics of diamonds and their prices. Ecommerce Analysis using Linear Regression (python) -- Used Linear Regression to give insight into ecommerce company's decision on whether to focus on their mobile app or website. Private Universities, Predicting Credit Card Approvals Using Logistic Regression, Predicting Species of Iris Data Set using Support Vector Machines, Root Cause Analysis for Springboard Case Study, Added K-Means Clustering for universities project. Work on real-time data science projects with source code and gain practical knowledge. MODA Open Source Analytics Library The Mayor’s Office of Data Analytics partners with agencies to deliver measurable value to City services. its properties and relationships between variables. I completed this project as a part of Springboard's Business Analytics course with the results approved by a mentor. Back to INSEAD Data Analytics for Business Course . Some of my individual projects are documented and shared on this GitHub page. GitHub API. Data … analytics-projects. This article is part of the monthly GitHub project series we host on Analytics Vidhya. download the GitHub extension for Visual Studio, Communicate Data Findings with Ford Bike Sharing Data, Data Wrangle and Analyze with Phase2 Clinic Trial Data, Data Wrangle and Analyze with Twitter WeRateDogs Data Set, Intro to Data Analysis with Weather Forecast Data, https://graduation.udacity.com/confirm/KUM3F4AJ, Anaconda: Learn to use Anaconda to manage packages and environments for use with Python, Jupyter Notebook: Learn to use this open-source web application, Sampling Distribution and Central Limit Theorem, Gather data from multiple sources, including gathering files, programmatically downloading files, web-scraping data, and accessing data from APIs, Import data of various file formats into pandas, including flat files (e.g.
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