Data Science Career Advice is a plenty on the internet and usually a whole lot of noise. To begin a career in data science, getting the basics right ensures a good start. Industry experts agree that strong fundamentals, preferably with a degree in mathematics and statistics are key, while computer science is also an option. With Data Science, continuous skill upgradation and certification will ensure the biggest value addition to your résumé. Universal Data query languages like SQL and statistical computing tools like SAS or R are the must-haves as of 2016, along with a programming language like Python or Java. With these skills, it’s easy to get hired by global technology leaders.
The path to becoming a successful Data Scientist, as this infographic shows, often passes through the quintessential milestone of being a Data Analyst first.
Disclaimer: This infographic is a CredForce knowledge-product developed by CredForce analysts using information available in the public domain, and cannot be copied, reproduced or quoted without explicit Credforce permission. This infographic is for informational purposes only and CredForce neither guarantees the authenticity of the information sourced from publicly available secondary and tertiary resources, nor is responsible for any damages arising out of use of this infographic. The Information derived from copyrighted sources is duly acknowledged and the credits expressed wherever required. Please quote the infographic code to seek permissions for reproduction or use or to exchange your views at firstname.lastname@example.org.