We will then visualize the d. What are some good big data projects on GitHub? - Quora Now let's see, how we can work with GitHub using Visual Studio. While choosing your SQL project, you should typically go for a project in which you at least use database normalization techniques. Small projects let you deepen your understanding of analysis . More than 73 million people use GitHub to discover, fork, and contribute to over 200 million projects. Tips: For data science projects with python, I would recomend you to install numpy , pandas , scipy , scikit learn , matplotlib , seaborn thest basic libraries. Use PL/SQL (create Packages, Procedure, Function, View, Trigger) and database Oracle for data analysis - GitHub - bimajinasi/PL-SQL-Data-Analysis-for-E-commerce: Use PL/SQL (create Packages, Procedure, Function, View, Trigger) and database Oracle for data analysis The Top 57 Python Sql Data Analysis Open Source Projects ... SQL Server professionals have already known how to query, transform and cleanse data. Through four progressively more difficult SQL projects with data science applications, you will cover topics such as SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. GitHub Stars: 7k+ The GitHub page of KNEX from where you can download and see the project code is: View Project; Tableau Dashboards. Jupyter Notebook on Github; This data analysis is created based on the data from Kaggle's Instacart Market Basket Analysis, aims to provide business insights with data science techniques. Answer: SQL doesn't give as much freedom as R or python does, still you can run queries to extract those metrics which you feel would give insight about the data. While choosing your SQL project, you should typically go for a project in which you at least use database normalization techniques. Now in this tip, we will be using Visual Studio to create a database project and check-in the code into GitHub.com. Try various aggregations,summarizing ,categorizing and see how the fields vary. GitHub Plugin for Visual Studio. You will then write a SQL query to pull the data needed to successfully answer your question. 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. Projects create an active learning environment where the mind can think critically and employ inquiry-based methods to find solutions. The project contains an in-depth analysis of Covid Cases, implemented using Excel & SQL and . 4.ask and answer questions about the data in a Query command line by commenting the . SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark. Tableau Dashboard of Covid-19 Vaccinations in India - - made using the insights generated after SQL analysis and uses some creative reports from Tableau. The most obvious choice. This SQL project is a cumulation of Data modelling, engineering and analysis and aims to organize employee and department data from 1980s to 1990s. Projects SQL - MySQL for Data Analytics and Business Intelligence: data analysis and data visualizations for answering business related questions for management including, What is breakdown between the male and female employees working in the company each year, starting from 1990? So whether you want to start a career as a data scientist or just grow you data analysis skills, this course will cover everything you need to know to do that. You can identify increasing , decreasing trends in t. - GitHub - ptyadana/SQL-Data-Analysis-and-Visualization-Projects: SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark. SQL-for-data-analysis. 9. GitHub is where people build software. Subjects . Use the pulled data to build a visual (bar chart, histogram, or another plot) that answers your question. More than 73 million people use GitHub to discover, fork, and contribute to over 200 million projects. Udacity Data Analyst Foundation Project. These are design approaches that reduce the dependency and redundancy of data. SQL data analysis project from basic statistics like median, min, max, avg,etc to percentile, correlation or linear regression. Scrapy_uri ⭐ 1 Scraping e Análise de Dados (URI) Data Warehousing. Cloud Storage. You can identify increasing , decreasing trends in t. 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. Try various aggregations,summarizing ,categorizing and see how the fields vary. You can use this sample database with SQL Server 2012 (11.x) and later. Answer (1 of 2): 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. This is a mini project for beginners and explains triggers, transaction logic, and updates and deletes on the database. The Chinook Database holds information about a music store. This project will learn about filtering, sorting, aggregation, categorization, merge, etc., functions using SQL. This Project is about Data analysis on COVID-19 Data across the Globe with the use of SQL server Steps to follow for this project: 1.select a large real-world dataset from kaggle. MySQL project which is a cloned mimic version of Instagram database. I assume that you have registered with GitHub.com. SQL-Data-Exploration. SQL Scripts for Data Retrieval and Analysis Three tables representing XYZ Company and performing queries for answering basic business questions. Which focuses on query for distributed SQL engines like Apache Hive and Apache Imapala And Storages include Hadoop storage (HDFS) and S3 cloud storage. 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). Scrapy_uri ⭐ 1 Scraping e Análise de Dados (URI) . You have the ability to be creative in the questions you ask. You will then write a SQL query to pull the data needed to successfully answer your question. It provides the original data used by the Analysis Services databases and projects that you build and deploy throughout the tutorial. The majority of the world's data is stored in databases, and learning SQL will enable you to access and analyze this data with ease. They are able to work on data science projects after having mastered some statistical techniques. SQL for Data Analysis Extract and analyze a data set using SQL.