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.
In keeping with our mission to upskill the workforce of tomorrow, we’re excited to announce that we’re giving early access to our upcoming Data Product Manager Nanodegree program.
In fact, we’re launching the first course called Applying Data Science to Product Management — an in-demand job skill, available for enrollment today at 30% off!
Not only will you receive a certificate for the completion of this course, but all progress in this course will be considered as credit toward the Data Product Manager Nanodegree program — to be launched in August 2020. Additionally, taking this course will unlock 30% off the price of the full Nanodegree.
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.
It’s no secret that it’s easier for most of us to digest complex information through the use of images versus text. After all, as the saying goes, a picture is worth a thousand words. That’s exactly why data visualization, and having the right data visualization tools, is so critical.
“Data is the new oil” said Clive Humby, a renowned mathematician. In a world where 2.5 quintillion bytes of data are created each day, it’s no surprise why data science jobs are in the new hot commodity.
With a median salary of $107,801 and job satisfaction level of 4 out of 5, it makes sense to consider it as a career option.
Data science jobs ranked No.3 on Glassdoor’s list of best jobs in America 2020 — after being consistently ranked as the No. 1 career option since 2016.
What’s more, data scientists have also been ranked as No.3 in LinkedIn’s Emerging Jobs Report 2020. So this career option is on track to stay and flourish.
