Data Analyst vs. Data Scientist: What You Need To Know in 2021

Did you know that the global revenue for big data and analytics is expected to reach nearly 275 billion dollars by 2022? For enterprises looking to leverage their data to its highest potential, one of the biggest challenges is finding practical and scalable ways to use the data. To fully unlock the power of that data, you’ll likely need a data analyst or a data scientist on your team.

The real question then is: do you need a data analyst or a data scientist? Let’s take a look at the role of data analyst vs. data scientist to figure out what’s right for your enterprise.

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Data Engineer vs Data Scientist: What’s the Difference?

The roles of “data engineer” and “data scientist” are often conflated and it’s common practice, but they’re actually completely different jobs.

Both require a high degree of skill in data science, but they each have their own specific responsibilities.

Learn more about the difference between data engineers and data scientists, including the skill sets necessary, job roles and salary info.

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Security Engineer vs Security Analyst: What’s the Difference?

Security engineers and security analysts are critical for managing data breaches in an organization. Both of these positions are necessary and sound somewhat similar. But, despite the overlap  between these two cybersecurity roles, there are clear distinctions that anyone aspiring to start a career in information and computer security should consider.

Read on to know how these two cybersecurity roles differ from each other in their responsibilities, skills and the battles they deal with.

Security Engineer vs Security Analyst

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Artificial Intelligence Jobs Are Future-proof

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COVID-19 has radically changed our lives. Its impacts can be felt across workplaces, particularly where it has forced industries to reduce their activities including leisure, restaurants, oil and gas, and airlines.

Yet throughout COVID-19, the technology industry remains strong. The pandemic has spurred technological innovation. Technology enables work to continue despite lockdowns and other pandemic mitigation measures. Analysts project the tech industry will be worth $5 trillion in 2021, with a growth rate comparable to what it was prior to the pandemic (4 to 5%).

Artificial intelligence has a strong foothold in the tech industry and has gained influence during COVID-19. Artificial intelligence and its jobs are future-proof — unlikely to become obsolete.

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So You Want To Be a Self-driving Car Engineer

Futuristic image of a self-driving car with highlighted car parts.

Self-driving car engineering is a fascinating, interdisciplinary profession that consists of engineering, machine learning, computer science, robotics, and automobiles. Leading companies are driving change with cutting-edge technologies. 

There are many ways you can pursue your interests in self-driving car engineering by working directly with autonomous vehicles or indirectly on their integrated technologies. Across the world companies are developing self-driving cars and related technologies such as sensor systems, artificially intelligent neural networks, computer vision, and vehicle safety features. Learn how you can become a self-driving car engineer

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Best React Developer Jobs and How You Can Get One

Finding a perfect, well-paying and flexible tech job is the dream of every aspiring software developer. If you’re  a developer on a quest for that perfect opportunity it’s highly likely that you have considered learning React — one of the most popular libraries in the world of front end development. 

In fact, according to the Enterprise JavaScript Survey, 63% of javascript developers use React as a framework making it the most popular JavaScript framework ever.

Thanks to its outstanding rendering capabilities, ReactJS is ideal for creating web applications quickly with minimal coding. It’s also an essential framework for all front end developers to master. 

Let’s dig into why React developer jobs and graining traction.Here’s an overview of react developer jobs and how you can land one.

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Career Spotlight: Data Scientist vs Machine Learning Engineer

Woman interacting with computing touch-screen containing images about data science and machine learning.

You live in a world dominated by technology and information, a world where you can’t avoid being a tech user. Technology fields like artificial intelligence, data science, robotics, machine learning, and cybersecurity are interwoven with your contemporary life. 

Data science and machine learning engineering are two tech fields that can offer great salaries and entail fascinating work. Maybe you want to expand your career skill set to work with one of many interesting topics like machine learning for big data.

What do data scientists and machine learning engineers do? Read on to learn more.

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