000 02843 a2200301 4500
003 OSt
005 20221205131707.0
008 221130b xxu||||| |||| 00| 0 eng d
020 _a9781108716208
040 _cIIT Kanpur
041 _aeng
082 _a300.723
_bB398d
100 _aBekes, Gabor
245 _aData analysis for business, economics, and policy
_cGabor Bekes and Gabor Kezdi
260 _bCambridge University Press
_c2021
_aCambridge
300 _axxiii, 714p
520 _aThis textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; carry out data analysis; and visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analyses in Stata, R, and Python, can be found at www.gabors-data-analysis.com. Provides students with a clear explanation of data analysis, as one-third of the book consists of running case studies that develop the data analysis process logically through the book by using real-world scenarios and data Fills an important and growing niche between technical econometrics books and more basic business analytics texts Ideal for students who do not want to take more econometrics courses but would rather gain hands-on experience working with real data. Suitable for non-PhD track students in economics and business Coding language neutral. The text does not include code in any language, and hence, may be used in a variety of settings Uses R and Stata and Python to teach methods, a far more useful and industry-relevant approach than the spreadsheet programs used by most business analytics books Full suite of ancillaries, including code and data used in case studies that have been carefully curated to match the printed text
650 _aQuantitative research
650 _aBusiness -- Research -- Methodology
650 _aEconomics -- Research -- Methodology
650 _aSocial sciences -- Research -- Methodology
650 _aEconometrics
650 _aPolitical planning -- Data processing
650 _aBusiness -- Data processing
650 _aEconomics -- Data processing
700 _aKezdi, Gabor
942 _cTXT
999 _c566087
_d566087