I hope that it’ll be useful to those who already have a background in software or Python, but who are looking for an easy-to-scan reference to use in data analysis projects. Python is easy to ...

Another key aspect of Python’s appeal is speed. In many data analytics use cases, the Python code tends to be simple – requiring just a few lines — which means that time to market is reduced.

Once your external data connection is established, Python integration in Excel allows you to elevate your analysis. Using the `xl` function, you can load connected data into a Pandas DataFrame ...

Mingo Sanchez, senior sales engineer, Plotly, joined DBTA's webinar, Empowering Data Analysts and Database Professionals: Harnessing Dash Enterprise for Smarter Insights, to explore how Plotly AI in ...

As rapidly growing amounts of data are ... experience using Excel, as well as various statistical techniques such as sampling, inference, and regression. This course teaches the principles of ...

His videos mostly focus on practical uses of data analysis using Python, SQL, Excel, Tableau, and Power BI. We particularly recommend his videos on Excel if you are looking to up your Excel game.