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A data scientist is someone who writes programming code and combines it with statistical knowledge to derive insights from data.

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Data Science

What is Data Science Sector?

For Engineering, the main role of a design engineer is to create the conceptual designs of the products or equipment and to solve designing problems using mathematics, computer software and designing process. If you are less into engineering but more into creativity and aesthetics then product or industrial design is best for you.

Learning Data Science is easy and fun to learn and you can start building projects from the first day. With YourEngineer, it is super easy and fun to master Data Science Concepts and pursue a career in it.

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Job Roles in Data Science Sector

There are various roles in data Science that you can pursue:

Start your Career in Data Science

Ready to Start your Journey in Data Science? At YourEngineer you will get all the step-by-step information including skills, expert guidance, workflows, cheatsheets, recruiter connect and global exposure. Let us look into various job roles in Data Science.

Data Analyst

Are you interested in collecting, organizing, and analyzing and reviews data to provide insights and support decision-making?

Data Scientist

Are you interested in collecting, analyzing, and interpreting large data sets to extract insights, inform business decisions, and solve complex problems?

Machine Learning Engineer

Are you interested in collecting and preprocessing data, training and evaluating machine learning models, and integrating those models into production systems?

Machine Learning Scientist

Are you interested in researching and developing machine learning models and algorithms that can be used to solve complex problems and inform business decisions?

Applications Architect

Are you interested in analyzing business requirements, creating technical designs, developing and testing code, and deploying and maintaining applications?

Data Architect

Are you interested in creating data models, developing data warehouses, and ensuring that data is stored in an efficient and secure manner?

Enterprise Architect

Are you interested in developing and maintaining a holistic view of current and future technological needs?

Infrastructure Architect

Are you interested in designing and implementing the overall technology infrastructure for an organization?

Statistician

Are you interested in statistical techniques to analyze and interpret data?

Business Intelligence Analyst

Are you interested in using data and analytics to make more data-driven decisions?

Skills Required for Career in Data Science

Data Science skills is about gaining knowledge and understanding of concepts behind the product and its application. For Example: If you have to design a gear, you must understand the concepts of gear and where it is going to be used.

Best Resources

Articles:

Companies actively hiring Data Science Experts

Frequently Asked Questions:

Yes, data science is a very good career with tremendous opportunities for advancement in the future. Already, demand is high, salaries are competitive, and the perks are numerous – which is why Data Scientist has been called “the most promising career” by LinkedIn and the “best job in America” by Glassdoor.

You need to have knowledge of various programming languages, such as Python, Perl, C/C++, SQL, and Java, with Python being the most common coding language required in data science roles. These programming languages help data scientists organize unstructured data sets.

Like most IT jobs focus on helping their organization using a particular technology, Data Scientists focus on helping their organization use Data. They are experts in handling large amounts of data and are responsible for deriving business value.

You might start out as a data analyst before advancing to senior-level analyst, analytics manager, director of analytics, or even chief data officer (CDO). If you’re interested in pursuing this path, you’ll want to focus on developing your leadership skills alongside your data skills.
The major topics in the Data Science syllabus are Statistics, Coding, Business Intelligence, Data Structures, Mathematics, Machine Learning, and Algorithms, amongst others.

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