2.5 quintillion bytes of data are produced every day, and businesses are rushing to hire enough data analysts and data scientists to make sense of it all. To say that the data science and data analytics job markets are booming would be an understatement. In the US over the next decade, headcounts in data science and data analytics are expected to grow by 36% and 23%, respectively, against a baseline of 5% across all occupations. With such demand, data professionals are already able to command lucrative salaries well above the median household income of $67,521, with most in excess of $100,000 per year.
At DataSciencePrograms.com, our mission is support this job pipeline by providing expert-researched, actionable information and recommendations that can help qualified individuals at all stages of their careers, whether they are looking to break into data science or data analytics, move themselves up in their companies or the field, or improve how they hire and manage data-focused teams.
What We Offer
Around the site, you can expect to find the following:
Useful, digestible background articles about data science and data analytics career paths, skills, and techniques for those at all stages of their careers
Expert-written deep dives and tutorials on the newest developments in the data science and data analytics fields
Vetted program recommendations for bootcamps and bachelor’s, master’s, and PhD programs
Proven tips for making bootcamp and degree applications and resumes stand out from the crowd.
While data science and data analytics are hot fields and only getting hotter, at times things get over-hyped. The truth is that not everyone who applies to a data science or data analytics educational program will be successful, and not everyone who gets through one of these programs will wind up at Google or another FAANG company. Throughout the site, we strive to share the opportunities out there while tempering expectations and without overpromising.
The information and recommendations we provide throughout the site aren’t museum-pieces: they’re written to inspire you to take action in the real world. Sometimes when plotting out next steps, it’s easy to get stuck in analysis paralysis. With data-centric careers, it’s also easy to get lost in the theory behind things: the sophisticated mathematics, the intricate coding principles. Now, analysis and theory are important, but not at the cost of action and practical application. When discussing educational pathways and jobs, our focus is always on what you can do to move forward, and when discussing data science skills and concepts, we emphasize how these feature in the day-to-day of actual data scientists and analysts.
To continue providing helpful and relevant content, we partner with sponsors, some of whom pay us a small fee when our readers engage with an educational opportunity they are offering. When we recommend a sponsor’s program, we will always clearly disclose this relationship. You can read more about our partnering policies below.
Our success is measured by the success of our readers. With that in mind, all the information we provide is painstakingly researched and, where necessary, vetted by data experts. While we might receive financial incentives for pairing interested users with quality programs, we don’t enter partnerships with these programs unless we feel confident the programs will help students succeed in the field.