Being one of the most lucrative tech fields, Data Science opens the door to numerous career paths. Today, companies across different industries rely on Data Science experts to make data-driven decisions, gain actionable insights and expand their businesses. A surge in the demand for highly-skilled Data Science professionals who can collect, analyze, and interpret raw data has been witnessed due to the mounting data. So, taking online Data Science Training can be a safe bet for career advancement. If you are also thinking of setting foot in Data Science, let’s guide you about the skills you need to learn, career prospects, salary outlook, and other aspects.
Top 5 Career Options in Data Science
Data Science is a cross-disciplinary field of study. It revolves around programming, mathematics, statistics, business, and analytical skills. Data Science deals with a voluminous amount of data with modern tools and technologies to derive meaningful info, discover repetitive patterns, and make lucrative business decisions.
Getting upskilled in a Data Science Career Track can enlarge your job prospects and help you secure various rewarding career opportunities, such as:
Data Scientist: It is the direct career path that most Data Science aspirants choose. It requires analytical skills, critical thinking abilities, Machine Learning, and programming competency to become a Data Scientist. When working as a Data Scientist, you will be responsible for building predictive models, automating tasks, performing data mining, and data visualization. Once you attain all the necessary skills and knowledge in an online Data Science Training, you can land a high-paying job with an average salary of $102370 per annum.
Data Engineer: Data Engineers are proficient in accessing, processing, interpreting, and maintaining massive unformatted data. Thus, creating data pipelines and setting the infrastructure through programming languages like Python, SQL, and NoSQL to make data accessible for further analysis. It is another remunerative tech job that offers an average salary of $115,762 per annum.
BI Developer: Business Intelligence developers design and develop strategies to assist business users in finding the relevant information to make better business decisions. To become a BI Developer, you should have solid communication, strong analytical skills, and problem-solving abilities. A Business Intenlligence Developer earns an average salary of $101,183 per annum with a $5,000 yearly cash bonus.
Data Analyst: The primary responsibility of a Data Analyst is to collect, process, and transform data sets into usable info and perform statistical data analyses. Data Analysts create new database systems to improve existing systems' performance and provide access to database analysts and administrators. As a qualified Data Analyst, you should be well-versed in programming languages like HTML, SQL, Python, C/C++, R, etc. After launching a career as a Data Analyst, you can expect to earn an average salary of $118,868 per annum.
Machine Learning Engineer: Once you gain industry experience, you can further advance your Dara Science career to a Machine Learning Engineer. The foremost role of a Machine Learning Engineer is to research data algorithms, build software, Machine Learning models, and AI systems to drive various processes. Becoming a Machine learning Engineer will reward you with sky-rocketing salaries ranging from $76000 to $154000 per annum.
These are the top career paths; you can consider to make a mark in the Data Science industry. However, it demands competencies in different domains, so you should enroll in a professional-led online Data Science Training to master these skills completely.
If you wish to build a solid foundation in Data Science, reach out to a credible coding bootcamp like SynergisticIT. It provides a comprehensive Data Science Career Track to gain proficiency in Machine Learning, Python, Data Science, and AWS. They also offer end-to-end job placement and career support. Hence, you get compete learning solutions to launch a successful career in Data Science. Sign up now!