A01=Cathy Tanimura
Age Group_Uncategorized
Age Group_Uncategorized
Author_Cathy Tanimura
automatic-update
Category1=Non-Fiction
Category=UMT
COP=United States
Delivery_Delivery within 10-20 working days
eq_bestseller
eq_computing
eq_isMigrated=2
eq_nobargain
eq_non-fiction
Language_English
PA=Available
Price_€50 to €100
PS=Active
softlaunch
SQL analysis data science analytic functions time series
Product details
- ISBN 9781492088783
- Dimensions: 178 x 232mm
- Publication Date: 30 Sep 2021
- Publisher: O'Reilly Media
- Publication City/Country: US
- Product Form: Paperback
- Language: English
Secure
checkout
Fast Shipping
Easy returns
With the explosion of data, computing power, and cloud data warehouses, SQL has become an even more indispensable tool for the savvy analyst or data scientist. This practical book reveals new and hidden ways to improve your SQL skills, solve problems, and make the most of SQL as part of your workflow.
You'll learn how to use both common and exotic SQL functions such as joins, window functions, subqueries, and regular expressions in new, innovative ways--as well as how to combine SQL techniques to accomplish your goals faster, with understandable code. If you work with SQL databases, this is a must-have reference.
Learn the key steps for preparing your data for analysis
Perform time series analysis using SQL's date and time manipulations
Use cohort analysis to investigate how groups change over time
Use SQL's powerful functions and operators for text analysis
Detect outliers in your data and replace them with alternate values
Establish causality using experiment analysis, also known as A/B testing
Cathy Tanimura has a passion for connecting people and organizations to the data they need to make an impact. She has been analyzing data for over 20 years across a wide range of industries, from finance to B2B software to consumer services. She has experience analyzing data with SQL across most of the major proprietary and open source databases. She has built and managed data teams and data infrastructure at a number of leading tech companies. Cathy is also a frequent speaker at top conferences, on topics including building data cultures, data-driven product development, and inclusive data analys
