How to use SQL for Data Analysis 1:07 pm August 8, 2024 By Julian Horsey In the world of data analysis, advanced SQL techniques are essential for extracting valuable insights from complex datasets.

The core value of conversational BI lies in lowering the threshold for data analysis and promoting "data democratization." Traditional BI requires users to master SQL, OLAP, and possess data thinking ...

Customers that already use SQL Server Analysis Services in their private data centers can take the models from that deployment and move them to Azure, too.

According to statistics from Liepin.com, 90% of big data positions require at least one programming language to be mastered. From a data analysis assistant earning 8k a month to a data scientist ...

Use the tools and techniques of data analysis to make sense of mountains of information.

Master data analysis with free datasets, custom data creation tips, and visualization tools. Perfect for Excel, Power BI, and SQL enthusiasts.

My expertise lies in financial analysis, risk management, data analysis using SQL, Python, and machine learning tools.