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spark-redshift

Redshift data source for Apache Spark

spark-with-python

Fundamentals of Spark with Python (using PySpark), code examples

spark2.0-examples

Examples of Spark 2.0

spotipy

A light weight Python library for the Spotify Web API

spring-boot-application-example

Spring boot example application written in Java

spring-cloud-aws

All development has moved to https://github.com/awspring/spring-cloud-aws Integration for Amazon Web Services APIs with Spring

sql-data-analysis-and-visualization-projects

SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.

sql-for-athena

sql-fundamentals

Mike North's SQL Fundamentals and Professional SQL Courses

sql-server-r-services-samples

Advanced analytics samples and templates using SQL Server R Services

sql-server-samples

Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge

sql_gc

Curso de SQL do Zero com dados da Gamers Club

sqlalchemy

The Database Toolkit for Python

sqlalchemy-redshift

Amazon Redshift SQLAlchemy Dialect

sqlitebrowser

Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:

sqlmap

Automatic SQL injection and database takeover tool

stable-diffusion

stat_rethinking_2022

Statistical Rethinking course winter 2022

statistics-for-data-science

Assignment created in R studios for class DSC520

statistics-for-data-science-using-r

Learn the core statistical concepts, followed by application of these concepts using R Studio with the a nice combination of theory and practice. Learn key statistical concepts and techniques like exploratory data analysis, correlation, regression, and inference.

statistics-for-data-scientists

Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"

stdsinus_dataviz

STD_DataViz_Tableau

stock-market-analysis-and-prediction

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

stock-market-prediction-web-app-using-machine-learning-and-sentiment-analysis

Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts stock prices of the next seven days for any given stock under NASDAQ or NSE as input by the user. Predictions are made using three algorithms: ARIMA, LSTM, Linear Regression. The Web App combines the predicted prices of the next seven days with the sentiment analysis of tweets to give recommendation whether the price is going to rise or fall

stockanalytics

This project is to develop tools for investment decision-making and make investment analysis using data science techniques.

streamlit-example

Example Streamlit app that you can fork to test out share.streamlit.io

sync.soccer

Synchronise event and tracking data using dynamic programming

tableau-10-complete-reference

Transform your business with rich data visualizations and interactive dashboards with Tableau 10

tableau-auto-refresh

This is a Web Data Connector for Tableau which can be used as a Web Page component inside a Tableau Dashboard to achieve auto-refresh without embedding the dashboard into an external web page. See the following blog post for more details: <blog entry soon to be published>

tableau-dashboard-hacktober-fest-2021

Tableau Dashboard repo : Hacktoberfest 2021