Data Science Jobs Guide: Resources for a Career in Tech

作者：Coursera Staff • 更新于 Oct 10, 2025

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

[Featured Image] A woman sits on her couch at home on her laptop, searching for data science jobs she is qualified for.

If you want to get a tech job, data science is an in-demand field within the technology industry. In this field, you can expect to earn a high salary and advance the way products and services impact your life.

Data scientists are in high demand across several sectors. They blend technical, analytical, and people skills and can expect to earn an average base salary of £49,000 [1].

Whether you want to become a data scientist, data analyst, or machine learning engineer, this guide will provide the necessary resources 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 organisations, etc. Once you learn the skills, they are transferable between industries. Here are 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 organisation. 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 optimising 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.

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 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 read Andriy Burkov's The Hundred-Page Machine Learning Book to get the full picture of machine learning.

Get started today.

A career in data science starts with learning how to transform data into meaningful business insights. The IBM Data Science Professional Certificate on Coursera provides the resources to build job-ready skills now.

文章来源

Glassdoor. “Data Scientist salaries in United Kingdom, https://www.glassdoor.co.uk/Salaries/data-scientist-salary-SRCH_KO0,14.htm.” Accessed September 5, 2024.

更新于 Oct 10, 2025

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