business-analytics

Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

Evidence enables analysts to deliver a polished business intelligence system using SQL and markdown

Datart is a next generation Data Visualization Open Platform

Python solutions to solve practical business problems.

📕 Various example reports I use for SQL Server Reporting Services (SSRS) as well as documents for unit testing, requirements and a style guide template.

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

A Qt tool for creating business and scientific charts. This is the canonical repository for KDChart.

Enterprise Data Analytics by Jortilles ( EDA )

Analytics at NYU by JC Bonilla

This repository provides the code examples for the corresponding blog posts. In case you have questions, feel free to contact me directly.

Demo codes, tutorials, and exercises for the master lecture Business Analytics and Data Science offered by the Chair of Information Systems at the Humboldt-University of Berlin

Oportunidades no Sicredi.

BASM - 2017 Spring

В этом релизе Вы найдете дополнительные материалы к книге "Путь аналитика. Практическое руководство ИТ-специалиста" (https://www.piter.com/product_by_id/40878036) Саму книгу можно заказать по адресу https://goo.gl/Av7Zmg

Apache Flagon is a suite of comprehensive, thin-client behavioral logging tools

Journey through data analysis

This repository contains projects I have worked on for Data Cleaning and Manipulation in Python.

This repository is dedicated to the machine learning analysis on StockX prices. Blog 👉

Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms

collection of SQL - Tableau integration projects for Data Analytics and Business Intelligence

Apache Flagon Distill is a python package to support and analyze Flagon UserAle.js logs

Data Science and Business Analytics Task-1 (Predict the percentage of an student based on the no. of study hours)

Predicting the Likelihood to Purchase a Financial Product Following a Direct Marketing Campaign

Project 1.1 : A diamond distributor has recently decided to exit the market and has put up a set of 3,000 diamonds up for auction. Seeing this as a great opportunity to expand its inventory, a jewellery company has shown interest in making a bid. To decide how much to bid, the company’s analytics team used a large database of diamond prices to build a linear regression model to predict the price of a diamond based on its attributes. You, as the business analysts, are tasked to apply that model to make a recommendation for how much the company should bid for the entire set of 3,000 diamonds. Price = -5,269 + 8,413 x Carat + 158.1 x Cut + 454 x Clarity

Course Material: Business Analytics and Decision Support with R

Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer Churn’ dataset.

Winning submission for the SAP challenge "Business Analytics meets Generation Z" at hackaTUM 2021. Instasights offers an instant overview of the latest company insights though Instagram-like stories.

If you are trying to create a Twitter bot, and your Twitter developer account is different from the account you are trying to run your bot on, this Python code should help you.