Data Science Jobs Guide: Resources for a Career in Tech

Written by Coursera Staff • Updated on

A round-up 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.

Data science is one of the technology fields where you can expect to earn a high salary and contribute to advancing how products and services impact our lives. Plus, demand is huge for data scientists in India, where analysts predict there will be over 11 million job openings by 2026. According to Analytics Insight, India’s big data industry is worth US $6.9 billion and will make up 32 percent of the worldwide market and reach US $20 billion by 2026 [1].

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

Data science overview

To get started in data science, 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 some 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 starting 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 (ML) and Artificial Intelligence (AI)

ML 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 technology field. 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 degree or certification you’ll need to break into tech.

Fun ways to learn and build your skills

Reading a book or listening to a podcast is a great way to brush up on data science. The Analytics Power Hour podcast provides insights from industry professionals, and Andriy Burkov's The Hundred-Page Machine Learning book offers the complete picture of machine learning.

Get started today

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

Article sources

  1. Analytics Insight. “Big Data Analytics and Data Scientist Recruitment Landscape in India, https://www.analyticsinsight.net/big-data-analysts-and-data-scientists-recruitment-landscape-in-india/.”  Accessed April 26, 2024.

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