At a minimum, a data scientist should...

I wish I could remember where I copied and pasted this from, but alas, I cannot. Just the same, here's a great overview of what a data scientist would benefit from understanding.

At a minimum, a data scientist needs to be proficient with concepts such as probability, correlation, variables, distributions, regression, null hypothesis significance tests, confidence intervals, t-test, ANOVA, and chi-square. At an advanced stage, data scientists need concepts and algorithms such as logistic regression, support vector machines (SVMs) and Bayesian methods. Common statistical analysis tools such as Excel, R and SAS are very famous among data scientists.

JavaScript Variables

Going to spend some time this weekend studying JavaScript. The image below was extracted from a screenshot of a course I'm taking via SoloLearn.

According to the website:

Naming Variables

There are some other rules to follow when naming your JavaScript variables:

- You must not use any special symbols, like my#num, num%, etc.
- Be sure that you do not use any of the following JavaScript reserved words.

Join the learning adventure: Learn JavaScript