This discusses the capabilities of SQL in relation to data analysis. It compares various types of databases, describes methods for preparing data for analysis. It discusses data types, the structure of SQL queries, profiling, structuring, and cleaning data. Methods for...
analyzing time series and trends are described, with examples of data analysis considering seasonality. Separate chapters are devoted to cohort analysis, text analysis, identifying and processing anomalies, analysis of experiment results and A/B testing. It describes the creation of complex datasets, combining analytical methods. Practical examples of analyzing sales funnels and consumer baskets are provided.
This discusses the capabilities of SQL in relation to data analysis. It compares various types of databases, describes methods for preparing data for analysis. It discusses data types, the structure of SQL queries, profiling, structuring, and cleaning data. Methods for analyzing time series and trends are described, with examples of data analysis considering seasonality. Separate chapters are devoted to cohort analysis, text analysis, identifying and processing anomalies, analysis of experiment results and A/B testing. It describes the creation of complex datasets, combining analytical methods. Practical examples of analyzing sales funnels and consumer baskets are provided.
Be the first to know about our current discounts, offers and new products!
Check icon
You have added to your basket
Check icon
You have added to favourites
Sold out
The item is currently out of stock.
In stock
Available in warehouse. You will receive the exact delivery date from the operator after the order confirmation.
To order
The product is delivered directly from the publisher. The order processing time is up to 14 days, you will receive the exact delivery date from the operator after the order confirmation.