In the Power BI/Fabric community everyone is excited about the recent release of Semantic Link: the ability to analyse Power BI data easily using Python in Fabric notebooks.Sandeep Pawar has an ...

In this project, I wanted to follow a Data Analyst workflow, starting from retrieving the data, cleaning the data, creating a database and creating meaningful visualizations. I used Microsoft Excel to ...

Defining an effective data structure in a dashboard is important. The images below show tables used in analysis. Tables used in this model. customers - Data related to each individual customers, their ...

Evolution of Data Tools for CX. The roles of Excel, SQL and Python have evolved as analysts have gained access to tools that have expanded the capabilities of the platforms, allowing them to be ...

Excel workbooks are one of the slowest data sources you can use with Power Query in Excel or Power BI. Reading small amounts of data from small workbooks is usually fast; reading large amounts of data ...

SQL, Tableau, Excel, and Python each bring unique strengths to the table, catering to different aspects of the data workflow. SQL is indispensable for database operations, Tableau excels in ...

This post is designed to spare other SEO pros the same fate. Within it, we’ll cover the Python equivalents of the most commonly used Excel formulas and features for SEO data analysis – all of ...

1. Mo Chen. Mo Chen is a goldmine for learning data analysis. His videos mostly focus on practical uses of data analysis using Python, SQL, Excel, Tableau, and Power BI.