You will get Extract Transform and Load (ETL) with visualizations
Project details
Data cleaning involves correcting or removing incorrect, incomplete, irrelevant, or duplicate data to ensure accuracy and reliability in analysis.
Extract – Collect data from various sources (databases, files, APIs, etc.).
Transform – Clean, filter, normalize, and convert the data into a usable format.
Load – Store the transformed data in a database or analysis environment.
Data Analysis & Visualization in Power BI / Python – Clear and Actionable Insights
Extract – Collect data from various sources (databases, files, APIs, etc.).
Transform – Clean, filter, normalize, and convert the data into a usable format.
Load – Store the transformed data in a database or analysis environment.
Data Analysis & Visualization in Power BI / Python – Clear and Actionable Insights
Data Tool
PythonWhat's included $5
These options are included with the project scope.
$5
- Delivery Time 2 days
- Number of Revisions 2
About Roberto
Data Mining & Management | Information Analysis, Data Analysis, Git
Dublin, Ireland - 6:14 am local time
Steps for completing your project
After purchasing the project, send requirements so Roberto can start the project.
Delivery time starts when Roberto receives requirements from you.
Roberto works on your project following the steps below.
Revisions may occur after the delivery date.
Initial Data Assessment and Cleaning
Review the dataset to identify missing values, duplicates, and inconsistencies. Perform data cleaning and preprocessing to ensure data quality.