As Data becomes very accessible these days as people and big organizations have powerful computers and smart devices, it’s obvious to expect a huge increase in the demand for Data Science professionals who can easily turn raw information into actionable or useful insights. The demand has fueled the growth of various industries that specialize in collecting and analyzing various types of information through Google and Facebook.
Every enterprise or organization wants a complete team of Data Science to execute various tasks on time. The responsibilities of skilled data scientists are to extract valuable information from unstructured forms of data sets and to make it useful for business purposes. Also, they are used to organize data into usable formats, enhance data collection processes, identify relevant information for various types of business needs, source missing data etc.
Students can easily compare online/distance data science institutions over College Vidya AI-powered university comparison portal. It will help them get the right university at an affordable cost.
Students after completing the course want top career opportunities but before these things, they need to know what are the top roles in Data Science:
This position is one of the best after completing a course in Data Science. The Data Engineer is responsible for designing, framing, and building system infrastructure that collects, stores and processes data. Data engineers are responsible for maintaining systems by designing data structures to grow at a perfect pace for the business. The Data engineer used to implement various technologies and tools like NoSQL, Spark, Hadoop etc through various forms of data pipelines.
It’s another popular career option in the field of Data Science. Students after completing the course of Data Science can easily hold the position of Data Analyst. The person appointed to this position needs to be responsible for various activities like collecting, clearing, and analyzing various forms of data for fetching actionable insights for good business decisions. These professionals are used to analyze small and large data sets and to identify various data patterns and trends that can be used to enhance business performance. They use a variety of tools and techniques like Excel, SQL and so on.
Machine Learning Engineer
This position is one of the preferred ones by the students of Data Science. The professional is responsible for various things like implementing machine learning models to solve various business issues. Machine Learning engineers are responsible for checking, framing and implementing machine learning strategies and algorithms in order to identify various types of ML patterns. They use technologies like R and Python in order to develop models that work closely with data scientists to provide stability in the business.
This machine learning engineer is also responsible for any defect in the processing and task planning because the authority of datasets and database customization are in the hands of this data professional.
This profile is one of the most trending these days because it pays a very good salary package. In this role, data experts use to implement various strategies and machine-learning algorithms to make things happen. Also, they used to extract valuable data sets by analyzing them for business performance. They manipulate and create various data structures that can be easily used for various types of data processing tasks. Data Scientists use various tools and languages like Python, R, and SQL to manipulate and create various data sets and information that help the business to grow.
Business Intelligence Analyst
It’s one of the best roles that every Data Science student wants to learn. They are used to analyze business processes through implementing strategies and business decisions. Also, they used to create various types of reports and data-centric useful visualizations that bring perfect business insights into corporations. In these processes, they use various types of tools like Power BI, and Tableau and create dashboards for offering real-time insights into various business metrics.
Data Visualization Specialist
The field of Data Science is broad and thus students want to become good Data experts. One another role that attracts students is Data Visualization Specialist. This professional used to communicate with his team to create data visualizations for stakeholders and clients by implementing various types of strategies and processes. The tools that they use are D3.js, Power BI, and Tableau to create engaging and interactive visualizations that help communicate various data forms and information.