From personalized education, to cleaning the oceans, or transforming healthcare – data science is poised to continue revolutionizing how businesses operate by producing actionable insights from data. Digitalization has made it easier for companies to collect data about their internal processes, but this data can’t be used to its full potential without data scientists.
But what exactly is data science and how does one become a data scientist?
Udacity has trained hundreds of managers and executives since the launch of our first Executive Program — AI for Business Leaders — earlier this year. Today, we’re excited to announce our newest program aimed at preparing executives for digital transformation: The Data Science for Business Leaders Executive Program.
This program — designed in partnership with Alteryx, a leading provider of an end-to-end data science and analytics platform — prepares managers and executives to implement data science initiatives across their businesses.
Why should business leaders consider this course? According to Udacity CEO Gabe Dalporto, “The most successful businesses in the world today put data at the center of their culture and decision making. Udacity’s newest Executive Program equips business leaders to unlock the value of data in their organizations and achieve transformational business outcomes.”
In the past few years, more data has been produced than in the millennia of human history before. This data represents a gold mine in terms of commercial value and also important reference material for policy makers. But much of this value will stay untapped — or, worse, be misinterpreted — as long as the tools necessary for processing the staggering amount of information remain unavailable.
In this article, we’ll look at how machine learning can give us insight into patterns in this sea of big data and extract key pieces of information hidden in it.
In keeping with our mission to upskill the workforce of tomorrow, we’re excited to announce that we’re giving early access to the second course in our upcoming Data Product Manager Nanodegree program.
Access to the first course, Applying Data Science to Product Management, has been available since June. As of today, Establishing Data Infrastructure, the second course in the Nanodegree program, is also open for enrollment at 30% off!
It’s no surprise that data product manager roles are increasingly coveted in the tech industry as the total amount of data created worldwide is expected to reach 175 zetabytes by 2025. After all, someone needs to manage the reams of data being created on a daily basis.
If you’re wondering what a data project manager does and why they’re so important, this blog post will fill you in.
In today’s digital age, information is constantly being created, collected, stored, and analyzed. Every aspect of customer behavior can be translated into data points and interpreted by different technologies. With the unstoppable expansion of the data universe, organizations need more of their employees to have the analytical skills to comprehend the ubiquitous amount of data and transform it into actionable insights.
To analyze data, it first needs to be extracted from databases. Currently, the most popular language used for querying and manipulating databases is SQL. While we often think of SQL as a tool used in technical roles, such as programmers and data scientists, many people today in “non-technical” roles such as marketing and sales are being trained in SQL to better leverage data and extend their professional capabilities.
As the business world continues to become more data-driven, the demand for data visualization jobs will continue to rise. With worldwide revenues for big data and business analytics expected to exceed 274 billion dollars by 2022, more specialized roles in the field will be needed.
