data science Archives

Jan112024 by Paul LinusNo Comments

Passive income strategies for data science enthusiasts

Career

In data science, people are finding new ways to make money beyond regular jobs. Passive income, which needs little ongoing effort, offers lots of options for data scientists and analysts. This extra money not only helps you be financially independent but also lets you have different sources of income, giving you the freedom to follow your interests and passions. Writing for Revenue Streams Starting the journey of passive income, data scientists can share their wealth of knowledge through the written word. Sharing helpful content on places like Medium, Substack, or your own blog can make money. You can earn by showing ads, getting subscriptions, or having sponsorships. This turns your useful content into a way to make ongoing money easily. Generating Income with Data Science Co...

Feb282023 by Paul LinusNo Comments

Growing trend of upskilling and reskilling in tech industries

Career, Technology

In recent years, the tech industry has seen a growing trend of upskilling and reskilling among its workforce. This trend has emerged in response to the rapid pace of technological change, as well as the growing demand for skilled workers in key areas like data science, cybersecurity, and software engineering. In this article, we'll explore what upskilling and reskilling are, why they matter in the tech industry, and some of the strategies that companies are using to develop and retain their workforce. What is Upskilling and Reskilling? Upskilling and reskilling are both terms used to describe the process of developing new skills or knowledge in order to advance one's career or adapt to changes in the job market. Upskilling refers to the process of acquiring new skills or knowl...

Apr262019 by Ryan FitnessgoalsNo Comments

How to Learn Python for data science in 2019

Technology

Python is a programming language used for general purposes and with every passing day, it is becoming more and more popular regarding data science. International companies are applying Python to gather better perceptions from their data to confront their competitors. There are a number of programming languages that data scientists use like Python, R, C++. However, Python is the most special one. It is flexible and easy to learn programming language having a diverse range of libraries and tools making the work of data scientists easy. Features Before we move forward to learn python for data science, we should first need to understand its importance in 2019 and its main features. Here are some of the features of Python: 1. It is a dynamic type of language and defines its vari...

Jan312017 by Paul LinusNo Comments

Why Career In Software Development Need AI, Data Science Skills Too

Career, Technology

If you are seeking to make career in software development, it is important to learn artificial intelligence (AI) and data science too. The era is right in front of nose when software will be trained via AI. The period has begun when AI is affecting everything. It is affecting health care and automobiles. Sports as well as home automation too are getting tuned in with its benefits. Experts believe the AI to have a measurable impact on software development and software developers are to become more like data scientists. General manager and vice president for Nvidia's DGX-1 supercomputer, Jim McHugh, said the AI as well as deep learning will mean changes in how developers write software. DGX-1 supercomputer is based in deep learning and accelerated analytics. McHugh added t...