Data Science Jobs Guide: Resources for a Career in Tech

Written by Coursera • Updated on

A round-up of all of Coursera's best data science articles to help you land a tech job.

[Featured Image]:  A female, wearing a white jacket, glasses, and red hair. She is working at her desktop, performing her duties as a data scientist.

If you want to get a tech job, then data science is one of the fields within the technology industry where you can expect to earn a high salary and contribute to the advancing the way products and services impact our lives. Data science professionals are in high demand.

According to the US Bureau of Labor Statistics, job opportunities in data science are projected to grow by 35.8 percent between 2021 and 2031 [1]. Data scientists can also expect to earn a median salary of $100,910 [1]. 

Whether you want to become a data scientist, data analyst, or machine learning engineer, this guide will provide the resources you need to navigate data science jobs and break into the tech industry.

Data science overview

To get started in data science, you'll want to do your research, learn the necessary skills and terminology, and prepare for industry-specific interviews. These articles can help you succeed:

Career paths in data science

Data science professionals can work in technology companies, government agencies, non-profit organizations, and much more. Once you learn the skills, they are transferable between industries. Here's a few career paths to choose from:

Data scientist

Data scientists use analytical data skills to solve complex business problems. These articles can help you become one:

Data analyst

Data analysts collect and interpret data to solve specific problems within an organization. Becoming a data analyst is an excellent leaping point for advancing in data science. Here's how to get started:

Data engineer

Data engineers often start as data analysts or software engineers because they need a solid foundation in data management and optimizing business outcomes. Learn more about how to prepare for a career as a data engineer.

Machine learning and artificial intelligence

Machine learning and AI are rapidly advancing data science and there are plenty of exciting careers in building and designing algorithms and models. Read on to learn more about them:

Other data science-related careers

From working with the cloud to developing games, exciting and unique opportunities are ahead if you decide to explore a career in data science.

Find a tech career that works for you

Get job-ready with professional-level training and a credential in the high-growth field of technology. Not sure what career is right for you? Explore your options with Coursera Career Academy.

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Skills and tools to learn

Data scientists, machine learning engineers, and data architects can refine and reform a business, product, service, or even entire industries. These skills are essential to any data science professional.

Degrees and certificates to earn

Bootcamps, degrees, and professional certificates… Where to begin? These articles can help you determine what type of degree or certification you’ll need to break into tech.

Fun ways to learn and build your skills

A great way to brush up on data science is by reading a book or listening to a podcast. Gain insights from industry professionals with the Analytics Power Hour podcast or the read Andriy Burkov's The Hundred-Page Machine Learning Book to get the full picture of machine learning.

Get started today

Starting a career in data science starts with learning how to transform data into meaningful business insights. 

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Article sources

  1. US Bureau of Labor Statistics. "Fastest Growing Occupations, https://www.bls.gov/emp/tables/fastest-growing-occupations.htm." Accessed October 25, 2022.

Written by Coursera • Updated on

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