Tutorial exercises for NUS module BT5152 (AY2018/19 semester 1)

Machine learning models build on real time data

This package contains datasets to illustrate machine learning algorithms in a Business Analytics (BA) course

Predicting Infection of Organization Endpoints by Cybersecurity Threats using Ensemble Machine Learning

This repository contains coursework for the Data Mining course in the MS Applied Business Analytics program at Boston University.

Collection of R-lang based data science projects and notes

Contains Projects done by me

Supplemental material like code, exercises, datasets, notes etc. for my book "The Modern Business Data Analyst: A Case Study Introduction into Business Analytics with CRISP-DM and R"

MBA da FGV em Big Data e Business Analytics

Business Analytics in R

R-Package that contains misc functions for data science and to streamline the development of decision support and business analytics systems

This repo contains a full ETL pipeline coded in R. The script extracts data from Airtable, cleans and aggregates the data into meaningful statistics, then stores the end result in a G-sheet, which feeds a Data Studio dashboard

repositório com os cases de business analytics que fiz na parte prática do curso "Foundations of strategic Business Analytics" do Coursera (2022) utilizando a linguagem R

Analysis of Life Expectancy and Fertility Rate Statistics by country between 1960 & 2020

This repository contains a data set of the reported incidents of crime in the City of Chicago from January 2020 to the end of September 2020.

Utilization of R studio and statistics to analyze data between companies to compare products and differences in overall sales numbers.

Dow Jones Index Forecasting

Repository of work carried out during the MSc Data Science and Business Analytics programme at Plymouth University (2020-21)

Provided valuable data insights for strategic planning on furniture and home furnishings products by carrying out exploratory data analysis using Excel and PowerBI. Finally provided predictive analysis using Holt-Winters model with R programming language in well documented reports.