Designed and developed a data analysis project for an EdTech startup to optimize their recorded lecture strategy. Cleaned and analyzed platform data to deliver actionable insights on course ...

A collection of weekly workbooks and projects completed during a data technician bootcamp. This repository highlights the development of key skills in data manipulation, analysis, visualization, and ...

Proficiency in programming languages (Python, R, SQL), data visualization tools (Tableau, Power BI), and cloud platforms (AWS, Azure, Google Cloud) is critical for success across these careers.

Choose the appropriate source, such as Excel, SQL Server, or an online service like Google Analytics. Loading Data: Once the data source is selected, load the data into Power BI Desktop.

In the dynamic realm of data analytics, the synergy between programming languages and business intelligence tools has become pivotal for organizations seeking comprehensive insights. This guide delves ...

Explore the realm of data visualization, where the choice of tools determines how raw data is turned into insights that can be put to use. We will investigate the features of three leading competitors ...

The main problem to solve is how to get data from Power BI into Excel in a format that Python in Excel can consume easily, ie a table rather than a PivotTable. The easiest way to do this is using the ...

Python and Excel can only really talk to each other through limited functions—xl () and =PY ()—that can only return code results, not macros, VBA code, or other data, Microsoft claims.