Tackle messy tables head-on with PostgreSQL.
Imagine you’ve just been asked to manage your company’s relational database system. Eager to impress, you quickly run a few initial queries to familiarize yourself with the data… only to find the tables in organizational disarray.
You freeze. You’re worried about the negative impact the inconsistent dependencies could have on future data manipulation queries and long-term analyses. But you’re also unsure of what steps to take to correctly redesign the tables. And suddenly the unwelcome urge to dig through your notes from the database management course you took a lifetime ago begins to plague you.
Sound familiar?
Don’t panic. Whether…
The title says it all
Data cleaning. The process of identifying, correcting, or removing inaccurate raw data for downstream purposes. Or, more colloquially, an unglamorous yet wholely necessary first step towards an analysis-ready dataset. Data cleaning may not be the sexiest task in a data scientist’s day but never underestimate its ability to make or break a statistically-driven project.
To elaborate, let’s instead think of data cleaning as the preparation of a blank canvas that brushstrokes of exploratory data analysis and statistical modeling paint will soon fully bring to life. …
Data science is an inherently social tool, let’s use it as such.
You’ve heard it before: This is the era of data. The integration of big data, tech, and innovation is apparent in the boom of data science roles currently permeating the job market and companies’ evolving ability to tap into human-tech interaction and online behaviors.
This transition into the data era isn’t exclusive to Silicon Valley and its tech gods. Data is everywhere. The demand for statistics-savvy employees and machine learning specialists is field-blind when it comes to research, impacting everything from oncology to the auto industry.
Too General a Field
As the reach of data science expands, the call for specialization is becoming louder…
Emily Burns
Clinical neuropsychology researcher at UCSF | Data science enthusiast 🧠🌱| https://twitter.com/eh_burns
