Data Science Handbook, A Practical Approach, Wiley, John Wiley & Sons,Artificial intelligence (AI),Computer science, Business Intelligence; Data Engineering; Decision Science; Artificial Intelligence; Machine Learning; Supervised Learning; Classification; Cross validation; Clustering; Deep Learning; Linear Regression; A/B Testing; Hypothesis Testing; Statistical Power; Standard Error; Exploratory Data Analysis (EDA); Data Visualization; R programming; Python; SAS; SPSS; TABLEAU; VBA; Structured Query Language; ETL; GitHub; Data Models; Data Warehouse; AWS; Big data; Cloud computing; Data Analytics; Data Exploration; Data Management; Data wrangling; Data processing; Data security; Data governance; Data Manipulation; Data Migration; DevOps; HADOOP; Multivariate; Calculus and Linear Algebra; MATLAB,, , United States, en-UShttps://www.wiley.comBusiness Intelligence; Data Engineering; Decision Science; Artificial Intelligence; Machine Learning; Supervised Learning; Classification; Cross validation; Clustering; Deep Learning; Linear Regression; A/B Testing; Hypothesis Testing; Statistical Power; Standard Error; Exploratory Data Analysis (EDA); Data Visualization; R programming; Python; SAS; SPSS; TABLEAU; VBA; Structured Query Language; ETL; GitHub; Data Models; Data Warehouse; AWS; Big data; Cloud computing; Data Analytics; Data Exploration; Data Management; Data wrangling; Data processing; Data security; Data governance; Data Manipulation; Data Migration; DevOps; HADOOP; Multivariate; Calculus and Linear Algebra; MATLAB, [BLURB],[CITY],,books, ebooks, biblet, Book2look