Data Analytics
Data analytics refers to the practice of using various techniques, such as math, statistics, and computer science, to draw insights from data sets. In addition, this practice consists of analyzing data, collecting data, and creating the frameworks to store it. To further know about it, you can visit Data Analytics Training in Noida. There are four types of Data Analytics that organizations use to make data-driven decisions.
- Descriptive analytics tell us what happened.
- Diagnostic analytics tell us why something happened.
- Predictive analytics tell us what will likely happen in the future.
- Prescriptive analytics tell us how to act.
Career Opportunities in Data Analytics
Data is the backbone for any business and analyzing this data is a necessary need for businesses today. In addition, Data Analytics is a highly in-demand skill in today’s era, and professionals in it are highly paid all over the globe. Data analytics professionals make higher-than-average salaries and they are in high demand in the corporate market. Furthermore, data analytics is a vast field and the opportunities it provides are endless. This domain has a lucrative career and it offers enormous scope and growth in the future. There are huge numbers of promising career opportunities available for an individual after completing Data Analytics Training. Below are some of the leading careers you can explore after learning Data Analytics.
Data Scientist
These professionals need to collect and analyze business data to take business decisions. To begin as a data scientist, you need to have a good knowledge of data analytics and data visualization skills. Along with it, you should also have specialization in programming languages such as SQL, Python, Scala, etc. The average salary you can expect after becoming a data scientist is Rs 634,645 per year.
Data Engineer
The professionals in this domain have to design, implement, and optimize data infrastructure. In addition, they are responsible for handling large data sets and often help in making this data readable for data scientists. Furthermore, the average salary of a Data Engineer is Rs 809,923 per year.
Business Analyst
They help in solving the business problems an organization is facing. They use data analytics with the aim of understanding business models, company reports, technology integration documents, etc. Furthermore, after becoming a business analyst, you can expect an average salary of Rs 588,313 per year.
Statisticians
These professionals are responsible for collecting, analyzing, and interpreting statistical data to obtain coherent and useful information. In addition, they also have to manage statistical simulations, mathematical modeling, analysis, and interpretation of various survey results. After becoming a statistician, you can expect an average salary of Rs 475,370 per year.
Machine Learning Engineer
The primary responsibility of a machine learning engineer is to analyze and interpret algorithms and statistical models for machine learning. In addition, they have to have good knowledge of programming and statistics. This job profile offers you an average salary of Rs 705,035 per year.
Quantitative Analyst
These professionals have to solve and manage various financial problems by using data analytics. In addition, they are responsible for analyzing huge data to understand financial risk management and investment patterns. This job profile offers you an average salary of Rs 842,849 per year.
Conclusion
Data analytics refers to the practice of using various techniques, such as math, statistics, and computer science, to draw insights from data sets. In addition, this practice consists of analyzing data, collecting data, and creating the frameworks to store it. Data is the backbone for any business and analyzing this data is a necessary need for businesses today. Therefore, various companies are looking towards hiring skilled professionals in Data Analytics. Data analytics professionals make higher-than-average salaries and they are in high demand in the corporate market.
