Discover how the dynamic landscape of tech offers a world of exciting new job roles and demands specialized expertise. Whether you’re seeking a career change or aiming to elevate your skills, this article reveals the path to a promising future.
As technology evolves, new job roles are emerging every day. Professionals who have the right expertise are in high demand. If you are looking for a career change or to level up your skill set, these rapidly growing opportunities could be your path forward.
As economic concerns persist, you might be wondering: is now really the right time to jump into something new? A report from CompTIA found that despite the noise around tech layoffs, jobs in the tech sector will actually grow by 3% in 2023 (that’s 286,400 new jobs). Another study from CBRE found that tech workers in the US have increased 11.4% since 2020, a further indication that the tech industry’s hiring slowdown hasn’t impacted the growth of technical roles overall.
Every company is a tech company today, and demand for talent that can wrangle data, design immersive experiences, and write code continues to rise. New technologies are evolving rapidly. The time to get your foot in the door is now. As more companies invest in areas like AI and immersive experiences, demand for talent with relevant skills will surge.
So what exactly are the hottest emerging tech jobs? Let’s break down the roles, the job descriptions, what skills you’ll need, and potential salary.
Do you know which programming language powers NASA, Instagram, YouTube, and Netflix? Meet Python. According to the TIOBE Index, Python passed Java and C in 2022 to become the most popular programming language worldwide. Developers everywhere love Python for its versatility, simple syntax, and extensive frameworks.
In this post, we’ll walk you through the advantages of Python and why it’s a great first programming language for beginners to learn. We’ll also share real-world examples of Python applications and the best ways to learn Python.
Juneteenth holds significant historical importance as it commemorates the emancipation of enslaved Black people and African Americans in the United States. Juneteenth serves as a reminder of the long-fought struggle for freedom and equality, highlighting the resilience and perseverance of Black individuals throughout history, acknowledging the progress made and the ongoing work needed for racial justice.
Afrofuturism emerges as a remarkable accomplishment within the Black community, as it combines African diasporas, science fiction, and technology to envision inclusive and empowering futures. Afrofuturism celebrates Black imagination, resilience, and creativity, offering a platform to challenge stereotypes and envision a more inclusive and equitable world. By embracing these cultural movements and celebrating Black heritage, society can strive towards a more equitable and inclusive future for all.
Trying to wrap your head around the difference between data science vs. computer science?
Many of the luxuries that we have today — a favorite streaming service that recommends new movies, the ability to unlock our phones with facial recognition technology, or virtual home assistants that let us play our favorite music just by speaking — are made possible by computer science and made better by data science.
Today, these two fields complement each other to further applications of artificial intelligence, machine learning, and business forecasting. Read on to learn a definition of each, their histories and applications, and career paths in both computer science and data science.
Whether you’re making the leap into a career change, or leveling up your current skill set to land that next promotion, you might be wondering if an online coding bootcamp is right for you. The good news is that General Assembly offers a range of beginner-friendly class formats (from full-time immersives to flexible, part-time schedules), and we have a course that will fit your specific career path and interests.
Without data, humans make decisions based on intuition. However, we don’t make very good decisions with our gut. That’s because as humans we have our emotions, unconscious biases, and gaps in information to contend with.
Everyone makes better decisions with data. For a business, poor leadership decisions can be incredibly costly. But companies don’t just need to collect data—they need professionals who can analyze and interpret it. That’s where data analysts and data scientists come in.
Glassdoor and U.S. News & World Report have both named data scientist among their best jobs based on salary, job satisfaction, and career opportunities. Data analysts earn a median base salary of $66,370 in the U.S., while data scientists earn $103,525 on average. If you’re ready to jump into your first data analyst entry-level job, read on for how to break in and the top industries hiring data analysts and data scientists.
So you’re thinking of a career in data science, but you’re not sure if it’s the right fit for you. Here is your data science guide, where we break down what data science is, day in the life of a data scientist, tips from GA’s data science alumni, career opportunities, and much more.
WHAT IS DATA SCIENCE?
According to Berkeley, data science is the ability to take data, understand it, extract value from it, visualize it, and communicate the findings. The term “data science” was coined in 2008 when companies realized the need for data professionals to analyze immense amounts of data.
First and foremost, it’s critical to understand the difference between data analytics and data science. To do so, let’s take a look at a definition of both.
According to Northeastern University, data analysisinvolves answering questions generated for better business decision-making. It uses existing information to uncover actionable data and focuses on specific areas with specific goals.
On the other hand, data science focuses on discovering new questions that you might not have realized needed answering to drive business innovation. Keep reading for an in-depth overview of both disciplines to decide which career path would better suit your career aspirations.
Making a career change can be scary, especially if self-doubt of “I’m not good enough” starts creeping in. However, there is no point in staying in a job or career that no longer brings you joy or fulfills you professionally.
If you’re reconsidering your career, you’re not alone — over the last two years, over 50% of employed Americans have considered a total career revamp. Chances are, you know a relative or friend who is going through a similar career dilemma right now.
If you’re considering making a bold move to data analytics, we’ve got you covered. Understand if a career in Data Analytics is right for you in four easy steps.