So you want to be a data analyst? In the trending tech field, pursuing a career as a data analyst can be a great option for high earning potential and job growth. If you’ve got a passion and experience in working with numbers and large amounts of information, this career path can fit you well. You’ve got the experience.
Whenever you send an email, post a Tweet, run a search on Google, or buy something online, data is generated. In fact, data was generated as soon as you landed on this page, which tracks visitors. But, the data collected on the internet by itself is not very meaningful. In its raw form – which means before it
According to a study by KDnuggets, Python was used by 65.6% of data scientists as of May 2018. The study found that Python was the most popular programming language, followed by R. There are many reasons why Python has become so popular in data science. First, Python has an easy-to-use syntax, which means that acquiring the language is not
Python is an in-demand programming language in the field of data science. In Stack Overflow’s 2019 Developer Survey, which studied the habits and preferences of over 90,000 developers, Python was found to be the fourth most-popular programming language favored by survey recipients. That’s not all: Python was the second “most loved” programming language in the study. While Python has
Jobs in data science, machine learning, and artificial intelligence are growing at an increasing rate, and skilled people in these fields are in high demand in the job market. According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is expected to grow 16% by 2028, which the Bureau describes as “much faster
Data is everywhere in modern society. When you run a search on Google, data is created; when you send a message to a friend, data is created; when you track your exercise data using a Bluetooth tracker, data is created. But, by itself, data is disorganized and has very limited utility. That’s where the field of data science