Data Analysis for Business, Economics, and Policy

 I. THÔNG TIN SẢN PHẨM
Mã sản phẩm : STT482
Nhà xuất bản: Cambridge University Press (May 6, 2021)    
Tác giả : Gábor Békés, Gábor Kézdi
Ngôn Ngữ : Tiếng Anh
ISBN      : 1108716202
Số trang ‏ : ‎ 738 pages
Hình thức : Bìa Mềm, IN ĐEN TRẮNG / hoặc IN MẦU LASER
Loại : Sách gia công đóng gáy keo chắc chắn chất lượng cao
Giấy in : Giấy ngoại định lượng 70msg, viết vẽ và hightlight thoải mái.
Chất lượng : Bản in rõ nét, giá rất tốt cho mọi người.

II. MÔ TẢ SẢN PHẨM

1.Mô tả sản phẩm
This textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to 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 analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.
    
2. Tác giả
Gábor Békés is an assistant professor at the Department of Economics and Business of the Central European University, and Director of the Business Analytics Program. He is a senior fellow at KRTK and a research affiliate at the Center for Economic Policy Research (CEPR). 

Gábor Kézdi is a research associate professor at the University of Michigan's Institute for Social Research. He has published in top journals in economics, statistics, and political science on topics including household finances, health, education, demography, and ethnic disadvantages and prejudice.