Explore this round-up of Coursera's best data science articles to help you land a tech job.
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 a median base salary of £48,652 [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.
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:
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 scientists use analytical data skills to solve complex business problems. These articles can help you become one:
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 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 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:
From working with the cloud to developing games, exciting and unique opportunities are ahead if you decide to explore a career in data science.
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.
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.
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.
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.
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.
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Glassdoor. “Data Scientist Salaries in the UK, https://www.glassdoor.co.uk/Salaries/data-scientist-salary-SRCH_KO0,14.htm.” Accessed September 5, 2024.
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