Familiarity with advanced concepts and techniques for analyzing data using SQL
The ability to generate random data for training and benchmarking
Familiarity with datasets through descriptive statistics and histograms
Working knowledge of binning techniques and time series analysis
The ability to produce cumulative aggregation, subtotals, cubes, pivot tables, and data summaries for analysis
The ability to clean and prepare data with interpolation and linear regression
SQL databases have been around since the 1970s. Some of the smartest people in the world worked on making it easy to slice, dice, fetch and manipulate data quickly and efficiently. SQL databases have come such a long way that many developers and data scientists have...
Basic SQL for Data Analysis
Grouping and Subtotals
Running and Cumulative Aggregation
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