Tag Archives: books

Books on Analytics Methodologies

  1. Data Science and Analysis
    1. Provost and Fawcett (2013) Data Science for Business
    2. Grus (2015) Data Science from Scratch: First Principles with Python
    3. Python for Data Analysis
    4. Jupyter notebooks
  2. How to collect the right data?
    1. Savoia (2019) The Right It: Why so many ideas fail and how to make sure yours succeed
      1. How to collect data in the early-stage product ideation

Recommended Books on “How technology is changing the industry and society?”

Book Review Assignment:
  1. Read one of the following books during the course.
  2. Write a book review with the following questions:
    1. Why did you select this book?
    2. Write a brief summary of the book.
    3. What did you learn from this book? Did you get a new idea from this?
Recommended books on “How technology is changing the industry and society”
  1. Andrew McAfee and Erik Brynjolfsson (2017) Machine, Platform, Crowd: Harnessing Our Digital Future. Link: Norton
  2. Kartik Hosanagar (2019). A Human’s Guide to Machine Intelligence: How algorithms are shaping our lives and how we can stay in control. Link: Penguin Random House
  3. Cathy O’Neil (2016). Weapons of Math Destruction: How Big Data increases inequality and threatens democracy. Link: Penguin Random House
  4. Michael D. Smith and Rahul Telang (2016) Streaming, Sharing, Stealing: Big Data and the Future of Entertainment. Link: MIT Press.
  5. Ajay Agrawal, Joshua Gans, and Avi Goldfarb (2018) Prediction Machines: The Simple Economics of Artificial Intelligence. Link: Book website
  6. Anindya Ghose (2017). Tap: Unlocking the Mobile Economy. Link: MIT Press.
  7. Arun Sundararajan (2016) The Sharing Economy: The end of employment and the rise of crowd-based capitalism. Link: MIT Press
  8. Eric Topol (2019) Deep Medicine: How AI can make healthcare human again. Link: Basic Books.