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 ...

What are some common techniques for image data analysis using Python? Some common techniques for image data analysis using Python include image segmentation, object detection, feature extraction ...

Freepik, the online graphic design platform, unveiled a new “open” AI image model on Tuesday that ... with AI startup Fal.ai and trained using 64 Nvidia H100 GPUs over the course of two ...

End-to-end SQL project analyzing Walmart sales data using PostgreSQL. Includes data cleaning with Python(pandas), business insights, and advanced SQL queries to solve real-world retail problems ...

Businesses often use the assessment of big data by such experts to turn it into actionable information. Nearly every department in a company can utilize findings from data analysis, from human ...

This project is an exploratory data analysis (EDA) of world population data using Python and Pandas ... s ‘Ultimate Data Analytics Bootcamp’ that focuse on SQL, Excel, Tableau, Power BI, Python(Pandas ...

Genomic analysis is the identification ... quantify and correct for the impact of biases in genomic data are emerging. The authors review how the choice of analytical methods used to process ...