Data science isn’t just for data scientists anymore

Data science isn’t just for data scientists anymore

  • Relegating all data knowledge to a handful of people within a company is problematic on many levels. It’s hard for them to communicate their findings to colleagues who lack basic data literacy.
  • Airbnb, a huge believer in the democratization of data science, strives to empower every team member to make data-driven decisions. To ensure that, the company created its own Data University.
  • Smart companies today ensure that many of their employees can speak the language of data and use it to improve work outcomes.

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The Democratization of Data Science

hbr.org

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Data literacy is necessary to make data-driven decisions

Despite the explosion of interest in big data, many organizations continue to relegate data-science knowledge to a small number of employees. That’s a mistake, it’s unsustainable. Very few companies expect only professional writers to know how to write. Companies that want to compete in the age of data need to do three things: share data tools, spread data skills, and spread data responsibility.

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Increased spending on digital technologies

Navigating through the Covid-19 pandemic in March 2020 caused organisations to work remotely and find ways to cut spending. However, companies significantly increased their spending on digital technologies for employees.

Over 50% of midsized companies increased their spending in this area, and 69% plan to increase their digital tools in 2022. Yet, many of these investments will not generate substantial business impact because they lack a sustained and successful focus on improving digital dexterity.

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How to Build Digital Dexterity Into Your Workforce

hbr.org

  • Python is a general-purpose, object-oriented programming language.
  • It emphasises code readability by using white space.
  • It is easy to learn.
  • It is a favourite of programmers and developers.
  • Python is very well suited for use in machine learning at a large scale.
  • Its suite of specialised deep learning and machine learning libraries includes tools like scikit-learn, Keras and TensorFlow. It enables data scientists to develop sophisticated data models that plug directly into a production system.

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Python vs. R: What’s the Difference?

ibm.com

There are two types of data
  1. Raw, unstructured data, consisting of numbers or lines of code.
  2. Processed data, which is raw data that has been cleaned, organized and transformed into information (i.e., knowledge).

Raw data is unusable, while processed data is key to driving business decisions.

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Data Isn't Important, But How You Consume It Is

entrepreneur.com