The data science community is full of lifelong learners. Perhaps more than any other career, data scientists strive to continually increase their knowledge.
Other successful folks, including Bill Gates, Warren Buffett, and Oprah Winfrey, attribute much of their success to spending five hours a week of deliberate learning in their particular area of knowledge.
But following their lead poses a problem when it comes to data science. With so much information out there — on the internet, in books, in magazines and newspapers — you don’t have the time to sort through it all, let alone determine what is valuable and worth reading. There are only 24 hours in the day, and you deserve to spend that time only reading the best content on the web.
As data scientist Vin Vashista has noted:
The data scientist who will be most successful is the one who can use data science and machine learning to generate revenue or reduce costs. That’s impossible for those who don’t understand the business.
Your tech, science, and math skills will take you halfway. Your communications, business acumen, and domain expertise will make you worth your weight in gold.
In other words, your business skills can be almost more valuable than your tech skills.
And with all of the data science content on the web, I estimate that roughly 70-80% is focused on programming or mathematics/statistics. There’s isn’t that much out there related to the business aspect of data science. That data, unfortunately, is missing.
Missing Data is here to fill that gap and provide only the best resources to help you learn about the business of data science.
Each week, you’ll receive one email with hand-picked resources related to data science and business. We spend each week scouring the piles and files of content on the web so you don’t have to.
This content includes videos, articles, events, and books that can help you fill in the missing data that will guide you on your journey to becoming one of the most sought-after data scientists out there.
Go ahead and sign up below to get started. I think you’ll like what we have for you.
Thanks for stopping by,
Chief Curator, Missing Data