Almost every company has developed a data strategy. But what separates a good one from a great one? Further, how can an organization with a good strategy transition into one with great strategy? We can recognize failure when we see it. Resources are spent, teams are created, time passes by — but then it yields… Continue reading How do you decide which projects in data science are worth pursuing?
As humans, we are known for being judgmental—it’s one of our less favorable traits. It wouldn’t as bad if these judgements, particularly ones from first impressions, were not formed as quickly (typically in the time it takes to blink), as prone to mistakes, and as difficult to change. To this point, new research via Princeton… Continue reading Wearing ‘Rich’ Or ‘Poor’ Clothing Impacts Split-Second Judgments of Competence
This new decade signals the end of understanding data’s impact and the dawn of using data to propel innovation. Businesses are shifting from simple prediction models towards robust machine learning algorithms to obtain insight and keep up with the advances in technology. Thus, data literacy is required to be competitive in the job market. Data… Continue reading Can Data Literacy Enhance Your Career?
Analytics is one of the most popular niches to blog about online. The blog-o-sphere is full of people trying to make it big with an analytics blog. For Data science professionals, blogging offers an opportunity to write about your passions in data and analytics. Not only that, but you can also monetize your blog to… Continue reading How do I build a successful analytics blog?
The report, Ethics and governance of artificial intelligence for health, is the first global report to be produced on the topic of AI in healthcare. The report highlighted that there are opportunities to benefit from AI, but the report also indicated that there are risks of misuse and harm (as there are with any tech).… Continue reading WHO report: health care has AI use cases and six keys to tackling potential health disparities from AI
As projects in healthcare and their needs are constantly shifting, especially these days, insights and data are more and more significant. Not only is data valuable, but the requirement for continuous, punctual access to data is crucial for the jobsite. While there’s a big requirement to have regularly updated data, the effort that is necessary… Continue reading Reasons for Integration with Microsoft Power BI
There’s no doubt about it: data scientists are in high demand. As of 2020, the average data scientist in the US makes over $113,000 a year, and data scientists in San Francisco make over $140,000. Learn data science and you could find yourself working in this promising, well-compensated field. But even if you’re not interested in becoming… Continue reading Guide to Learning Data Science (step-by-step)
If you work on behalf of a health plan seeking to work with an analytics and technology vendor, then you might have questions. The answers to the following questions could help you decide if a current or prospective vendor is a proper fit for your organization. 1. Is the relationship that you offer to clients… Continue reading Health Plans Need to Ask The Following Eight Questions of Analytics and Tech Vendors
The realm of analytics, data science, and programming can be daunting to those new to them. The field is constantly evolving and becoming fragmented. As the field changes, new tools, new job roles, and new niches are being rapidly developed. I only recently found out about a growing need for Analytics Engineers — those who… Continue reading Finding a mentor in data science
When I first began learning to program, it was a time of constant fire in my belly—I was so excited about every new issue and every new technology! Alright, the enthusiasm was not really constant—it alternated with moments of doubt when I was facing a problem with my code. Sometimes I was learning just for… Continue reading The 8 Most Frequently Made Errors in Programming by Newbies