Python 🐍 Work With Data
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A collection of books and articles on Python and various data manipulation tools. Overview of architecture of business intelligence systems, design and development of BI Reports, data processing in Python Pandas.
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Guide to Data Quality Management: Metrics, Process and Best Practices
https://www.scnsoft.com/blog/guide-to-data-quality-management
Best practice guidelines topics

The following topic list will serve as a link menu for future posts. Expect this list to be updated and completed:

# Futureproofing Power BI solutions
# Preparing, shaping & transforming source data
# Power Query design best practices
# Power Query in dataflows or Power BI Desktop
# Data modeling essentials and best practices in Power BI and AS tabular
# Validating data model results
# Planning for separation – data models and reports
# Power BI delivery options
# Choosing the right report type: analytic or paginated
# Designing and managing large datasets in Power BI
# Multi-developer and lifecycle management for Power BI
# Certified reports, certified datasets & the self-service mindset

https://sqlserverbi.blog/2020/07/12/doing-power-bi-the-right-way/
GitHub - FavioVazquez/ds-cheatsheets: List of Data Science Cheatsheets to rule the world

https://github.com/FavioVazquez/ds-cheatsheets
The Data Culture Playbook
A guide to building business resilience with data.
https://www.tableau.com/data-culture-playbook/read