Data Preparation and Cleaning by demi rodriguesData Preparation and Cleaning by demi rodrigues
Data Preparation and Cleaningdemi rodrigues
Use Alteryx to automate data extraction, transformation, and loading (ETL) processes, including data cleaning, deduplication, and normalization.

What's included

Automated workflows for data extraction from multiple sources.
Create and deploy automated workflows using Alteryx to efficiently extract data from various sources such as databases, APIs, spreadsheets, and cloud storage. These workflows run on a scheduled basis, ensuring timely and accurate data collection without manual intervention.
Cleaned and standardized datasets ready for analysis or reporting.
Process the extracted data to remove errors, duplicates, and inconsistencies. Standardize formats and structures to produce high-quality datasets that are immediately usable for analysis or reporting, ensuring reliable and consistent results.
Documentation on workflow steps and logic.
Provide comprehensive documentation outlining each step in the workflow, including data sources, transformation processes, and business logic. This ensures transparency, facilitates easy updates, and supports knowledge transfer to other team members.
Starting at$200
Duration1 week
Tags
MATLAB
pandas
Data Analyst
Data Modelling Analyst
Data Scientist
Service provided by
demi rodrigues proLondon, UK
Data Preparation and Cleaningdemi rodrigues
Starting at$200
Duration1 week
Tags
MATLAB
pandas
Data Analyst
Data Modelling Analyst
Data Scientist
Use Alteryx to automate data extraction, transformation, and loading (ETL) processes, including data cleaning, deduplication, and normalization.

What's included

Automated workflows for data extraction from multiple sources.
Create and deploy automated workflows using Alteryx to efficiently extract data from various sources such as databases, APIs, spreadsheets, and cloud storage. These workflows run on a scheduled basis, ensuring timely and accurate data collection without manual intervention.
Cleaned and standardized datasets ready for analysis or reporting.
Process the extracted data to remove errors, duplicates, and inconsistencies. Standardize formats and structures to produce high-quality datasets that are immediately usable for analysis or reporting, ensuring reliable and consistent results.
Documentation on workflow steps and logic.
Provide comprehensive documentation outlining each step in the workflow, including data sources, transformation processes, and business logic. This ensures transparency, facilitates easy updates, and supports knowledge transfer to other team members.
$200