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ETL console command tool using xml job files transfering/synchronizing ADO.Net, LDAP, JSON, XML, CSV data sources
Transforming Bitly User activity dataset who shorten .gov links into readable tabular data from json file to a DataFrame to eventually a CSV.
This repository contains the data analysis of DataCo Global's supply chain dataset performed by our project group called Dream Five. We are a group of 5 students from St. Clair college who studied Data Analytics for Business as a Post Graduate Diploma.
assignments and projects for Yeshiva University's Katz School Information Architectures course, spring 2020
Bank Loan Data Analysis Using Power BI
Analyzing Real time food ordering data using Excel!
This ETL project was designed to demonstrate the development of a scalable data pipeline for customer sales analysis. It covers all essential steps, from data extraction to transformation and loading into a database, with Apache Airflow used.
Machine Learning models for helping BNP Paribas Cardif accelerate its claims process
A store who sells bikes in North America, Europe, and Pacific needed some help in analyzing the raw data they have . The data is comprised of 1026 rows, and 13 attributes.
Doing ETL from database management system to POWERBI. To aid AtliQ Hardware company with their market growth and issues in terms of tracking sales. Giving Bhavan Patel insights with this business through PowerBI Dashboarding
Data analysis and visualization of New York Yellow Taxi Trip data, The core objective of this is to find the most pickups, drop-offs of public based on their location, time of most traffic and how to overcome the needs of the public, by using BigData Technologies and Tableau.
The data set contains data about city fuel cycle consumption of vehicles. This report demonstartes data cleaning and preparation techniques using SAS to prepare it for statistical analysis. It uses arrays, concatenation, data type converison, outlier removal and standardization. The dataset is downloaded from https://archive.ics.uci.edu/ml/datasets/Auto+MPG in July 2021.
Women's_Maternal and Reproductive Health around the world (WHO Data cleaning, Data transformation, Data Normalization, Data Engineering, Data modeling, ERD Dia, Exploratory Analysis, Data visualization)
AlmaBetter Capstone Project -Exploratory data analysis (EDA) is used by data scientists to analyze and investigate data sets and summarize their main characteristics, often employing data visualization methods.
The following is a SQL contribution for Amazon's seller program. A special thanks to the Catalogue Specialist team for providing the opportunity to showcase this work on GitHub
This is the process of automatically extracting data from websites. This can include text, images, and other media types from various web pages.
HR Analytics dashboard specifically designed for the HR department to save 3 - 4 hours of HR work daily
Power BI Dashboard tracking KPIs and sharing Product & Customer Insights for Adventure Works company
🌐 Web Scraping Project: Extracting Real-time Fire and Emergency Incidents from New Zealand 🔥
To Uncover crucial insights and develop key performance metrics, peak seasons, top-performing segments, markets, and categories.
This result of this project "Uk Salaries Analyser is a WebApp that helps job seekers know more about a specific job in UK regions.
ds repo for my first time data science project with predicting the salary of datascientist
Plato Pizza, a Greek-inspired pizzeria based in New Jersey, USA, is leveraging Power BI to analyze its sales data and optimize revenue generation. The aim is to gain valuable insights into pizza sales trends and customer preferences, ultimately leading to actionable business recommendations.
This repository contains all the assignments and related files for excelR data science and machine learning course.
Error Correcting Codes - Binary Convolutional Code
Flight Insights is a Power BI project analysing 2,000,000 commercial flights from major US airports to uncover patterns in flight delays and cancellations. The project leverages a structured business intelligence workflow, including data transformation, modelling, and visualisation, to create an interactive dashboard to bring our data to life.
This project provides a framework for building energy prediction models. It includes components for data ingestion, transformation, validation, evaluation, and model training, along with utilities for logging, handling exceptions, and managing configurations. This project offers a comprehensive framework for developing machine learning models.
This repository is a data analytics project using Excel and Tableau. The project is about analyzing and getting insights about evolution of video games development, sales, and reviews over the years.
Cricket Player Analysis to find the best Players to Play the Final Match
Conducted a comprehensive data visualization analysis using PowerBI on IPL data to determine the optimal candidate for the Impact Player role. This analysis focuses on evaluating various match situations to identify which player, among the potential impact players, is most likely to create a significant impact when needed.
Data cleaning and SQL queries analyze pizza delivery data, cleaning tables such as customer_orders and runner_orders, and extracting insights like pizza order counts, customer preferences, runner performance, delivery times, and ingredient optimization from the dataset.
The project utilizes real-world survey data to identify the target audience, product offering, and pricing strategy, presenting a data-driven strategy for opening a coffee shop in the United States. This project uses Power Query and Power Pivot in Excel to transform and analyze different question types used in surveys.
This dashboard includes interactive visualizations and reports on employee attendance, preferred working modes, and utilization of work-from-home and sick leave policies, demonstrating the impact on strategic decision-making and employee wellbeing
Compelling data of HR (Human Resource) in Excel and Power BI, acquiring reliable Employee data and meticulously cleaning it to ensure accuracy. Exploring the data visually using charts and graphs to identify trends, then delve deeper with statistical analysis to uncover patterns and relationships.
Netflix Recommendation engine