Key Takeaways Interviews for data analysts test technical and business understanding.Practicing real examples helps you ...

SQL Fundamentals: Understanding the basics and building a strong foundation. Advanced Querying: Writing complex queries to retrieve, manipulate, and analyze data. Database Design: Designing efficient ...

Welcome to the Braintree Analytics Code Challenge! This is an opportunity for you to show us your grasp of SQL which plays a key role in the day-to-day job that you're applying for. All members of the ...

As an example, SQL was the first programming language to return multiple rows per single request. This makes it easier to get data on what is taking place within a set of data—and consequently ...

Snowflake is adding generative AI-powered SQL functions to help data analysts and their organizations analyze unstructured data with SQL. These new AISQL functions will be part of Snowflake’s ...

3. Codebasics. Codebasics is an excellent channel for anyone eager to learn data analysis via projects. The content mostly focuses on using Python, Power BI, SQL, and other tools to build projects ...

President Trump's $500B Stargate Project unites tech giants to boost US AI supremacy. Microsoft and Oracle stand to benefit, but uncertainty remains.

That’s not to say tools don’t matter; today’s data analyst absolutely needs to be able to use at least a few of the most common tools such as Excel, SQL, Tableau, Power BI, R or Python.

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