Books like Data Science for Business and Decision Making by Luiz Paulo Fávero
How are these books recommended?
The books recommended for Data Science for Business and Decision Making by Luiz Paulo Fávero are shaped by reader interaction. Votes on how closely books relate, user ratings, and community comments all help refine these recommendations and highlight books readers genuinely find similar in theme, ideas, and overall reading experience.
Have you read any of these books?
Your votes, ratings, and comments help improve recommendations and make it easier
for other readers to discover books they’ll enjoy.
Books similar to Data Science for Business and Decision Making (11 similar books)
Data analytics is a rapidly evolving field. In today’s labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, “a new online course” if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.
Data analytics is a rapidly evolving field. In today's labour market, knowing how to acquire, process, and interpret large amounts of data to make optimal decisions is crucial for many professionals, especially those in business and engineering. This open textbook, "a new online course" if you will, focuses on three key concept areas: data acquisition, data processing, and decision-making models. In this course, students will be able to develop advanced knowledge and skills to acquire related data for operations of business or projects; apply quantitative literacy skills such as statistics and machine learning; and use predictive or prescriptive modeling to make timely, actionable, and meaningful decisions.
Some Other Similar Books
Data Science from Scratch: First Principles with Python by Joel GrusThe Data Warehouse Toolkit: The Definitive Guide to Dimensional Modeling by Ralph Kimball, Margy Ross
Data Analysis Using Regression and Multilevel/Hierarchical Models by Gelman, Hill
Python for Data Analysis: Data Wrangling with Pandas, NumPy, and IPython by Wes McKinney
An Introduction to Statistical Learning: with Applications in R by Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Storytelling with Data: A Data Visualization Guide for Business Professionals by Cole Nussbaumer Knaflic
Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data by Wesley Chun
Statistical Methods for Data Analysis in Quality and Reliability by Vladimir A. Svoronos
Doing Data Science: Straight Talk from the Frontline by Cathy O'Neil, Rachel Schutt