Every day, billions of queries are entered into the Google search bar. We’re constantly looking for something — the definition of a word, the bus schedule, the lyrics to that certain song. However, in the realm of computer science the term “search” has a slightly broader meaning. With search algorithms, we’re often not looking for a single item, but for a series of steps: the optimal strategy for solving a given problem. That fact is what makes this family of algorithms so central to so many different applications.
You’ve done it! You worked hard, learned how to code, and now you’ve landed a job as an entry-level React developer. You spend your days pairing with more experienced developers, debugging by clicking around in Chrome dev tools, and crafting nifty components in React.
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.
The prospect of learning HTML can seem confusing at first: where to begin, what to learn, the best ways to learn — it can be difficult to get started. In this article, we’ll explore the best ways for learning HTML to assist you on your programming journey.
Out of 13 million new jobs that have been created in the United States in the last 10 years, over 8.5 million have required skills in technology. And as the future of work moves forward, the tech skills necessary to succeed in these new roles will only become more advanced. Skilled workers need to be able to work with technology beyond an internet browser or word processing application.
Jobs like Human Resources (HR), that never seemed to need technology before, are now specifically looking for applicants with skills in data analysis. In a survey done by SHRM, over half of survey responders require data analysis when hiring for their HR department.