Art of Solving Business Problems - The Data Science Way

10 ratings

It is not an exaggeration to say that the world we live in today is being redefined by Data Science. Data Science and AI touches every aspect of our lives. Whether we are shopping online, taking an Uber or driving our cars, working with our smartphone assistants, connecting on social networks — Data Science is transforming the way we interact with the world and the way world interacts with us.

We are generating more data now than ever before. With every video we upload, photo we tag, sensor data we generate, medical reports that we process, we make data a catalysing force. Data is the new currency.

Because of these profound implications, it is essential for leaders, educators, business owners, policymakers — indeed, everyone — to understand what AI and Data Science is, how it works, what it does, and what it means for them, their careers, families, friends and communities. 

A new class of practitioners and leaders are needed to navigate this new future. This book is a great starting point.

We demystify the Art of Business Problem Solving with the help of Data Science. We start with asking the right business questions first and not the machine learning techniques.

To bring the importance of business problem-solving into clearer focus, we have used a fictionalized case study to illustrate key concepts. The scenario of a food aggregator app is all too familiar to most of us, and encompasses both the B2C and B2B business models for maximum understanding.

We take you through the process of examining a business problem and converting it into a Data Science problem step-by-step, in order to highlight the key skills required at each stage.

You will gain an understanding of who you will be expected to deal with, and more importantly, how you should approach each interaction, so you can use that knowledge in your subsequent work.

  • Size
    3.51 MB
  • Length
    75 pages
  • Size3.51 MB
  • Length75 pages


(10 ratings)
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Art of Solving Business Problems - The Data Science Way

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