A round-up of Coursera's best data science articles to help you land a tech job.
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.
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:
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 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 starting 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.
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:
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 technology field. 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.
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.
Starting a career in data science begins with learning how to transform data into meaningful business insights.
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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This content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.
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