@jasonniebauer
Analytics Engineer & Data Scientist
Nothing here yet.
Jan 4 · 8 min read · As a seasoned data analyst working in business environments, I use SQL every day to extract actionable insights, support decision-making, and drive operational efficiency. Structured Query Language (SQL) remains the cornerstone of relational database...
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Jan 4 · 4 min read · As a data analyst, you spend a significant portion of your day writing SQL queries to pull, join, and transform data from relational databases. Mastering the different types of keys in SQL is essential. It ensures your joins are accurate, prevents da...
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Jan 4 · 4 min read · After years of experience wrangling complex datasets, I have seen firsthand how a structured SQL querying workflow can transform raw data into actionable insights. Whether you are analyzing customer behavior, financial trends, or operational metrics,...
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Jan 1 · 5 min read · An overview of the hierarchical stages of data maturity and the specific professional roles required to manage each level. The data needs pyramid illustrates a progression from foundational data collection and storage handled by infrastructure owners...
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Jan 1 · 4 min read · Supervised learning utilizes specific target variables and input data to forecast future events or establish causal relationships, such as predicting equipment failure or customer purchases. In contrast, unsupervised learning focuses on discovering h...
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