Through four progressively more difficult SQL projects with data science applications, the topics covered are SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more. These topics instruct how to apply SQL creatively to analyze and explore data; demonstrate efficiency in writing queries; create data analysis datasets; conduct feature engineering, use SQL with other data analysis and machine learning toolsets; and use SQL with unstructured data sets.
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Through four progressively more difficult SQL projects with data science applications, the topics covered are SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more.
KevinVChin/Learn-SQL-Basics-for-Data-Science
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Through four progressively more difficult SQL projects with data science applications, the topics covered are SQL basics, data wrangling, SQL analysis, AB testing, distributed computing using Apache Spark, Delta Lake and more.
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