In this project, CRISP-DM is used to analyze AirBnb dataset.

Data Modelling and Databases II

A repository for practices of Django and web development

An analysis is performed of company employee data by using the dynamic ability of the relational database PostgresSQL in order to transform and query the data.

SQL project designing a database to hold employee data in order to complete analysis. Includes both data engineering and data analysis.

Shamil's blog available at https://shamilnabiyev.github.io

Performing analysis of company employee data by utilizing the dynamic ability of the relational database PostgresSQL to transform and query data.

In this project, we apply Data Modeling with Postgres and build an ETL pipeline using Python.

A complete analysis made to a company's database of its employees using PosgreSQL, ERD Plotting, SQL Alchemy, Matplotlib, Pandas, Numpy.

This project is part of the Udacity Nanodegree® on Data Engineering. It aims to demonstrate database creation from a JSON store by creating appropriate database structures and populating correct data post ETL.

Applying data modeling to a NoSQL database with Apache Cassandra and build an ETL pipeline using Python. And modeling the data by creating tables in Apache Cassandra to run queries.

Sparkify - Data Modeling with Postgres - Udacity Data Engineering Expert Track.

Design the tables to hold the data from the CSV files, import the CSV files into a SQL database, and then answer questions about the data. That is, performing data modeling, data engineering, and data analysis, respectively.

Materiais da disciplina Banco de Dados, das turmas de 2º ano do curso técnico em Informática do IFBA campus Brumado (2022/2023).

Vehicle price prediction using linear, lasso and elastic net regression algorithms.

Deloitte's Virtual Experience (VE) Program offers students a platform to explore and develop skills in cyber technology, forensic investigations, data analytics, platform engineering, and coding. The program empowers participants to shape their own career paths and provides a glimpse into the exciting opportunities available at Deloitte.

Engineered a comprehensive company database in MySQL Workbench, implementing tables for employees, branches, and clients. Developed efficient and effective SQL queries to retrieve specific data.

My first technical assignment entirely in English

Professional Certificate - 9 course series

The WineQT dataset likely includes features such as acidity levels, alcohol content, pH, residual sugar, and more, alongside quality ratings provided by consumers. In this project learning algorithms, such as classification models, will be trained on data to learn the relationships between these inputs features and wine quality ratings.