Data Science

Leverage growth with data science and analytics – A new age career

The age of data science has already arrived. Though data science has been around since the 1990s, but its importance wasn’t fully appreciated until organisations were able to make sense of the enormous amounts of data available to them. Beyond the limitations of traditional data consolidation methods, data science has been assisting firms to expand decisively. It makes possible for businesses to access and view various aspects of brand development in a more advantageously manner. Analysing data—in particular, Big Data—in order to reach conclusions is known as data analysis. Companies that use data analytics are better able to boost their turnover and make strategic decisions.

Statistics

It is customary to organise and summarise numerical data using statistical approaches for descriptive purposes. To generate statistical reports, always from a quantitative perspective, the primary purpose of statistics is the collection and grouping of data. Data science and analytics careers are enjoyable and financially attractive. A career in data science or analytics does not usually progress in a straight line, though. A technical bachelor’s degree or a master’s degree isn’t always required for careers in data science, in contrast to more conventional occupations. Just the appropriate qualifications and experience will do. The ins and outs of data science and analytics job routes and abilities are covered here.

What are the benefits of working in analytics or data science?

The need for data science expertise and data-driven decision-making, as well as the availability of data, has risen dramatically during the past ten years. Analytics and data science are now established as crucial navigating tools across industries and functions, pushed further into the spotlight by the dramatic shift in corporate operations and consumer behaviour produced by the Covid-19 pandemic. Data science which revolves around, a field in the spotlight, presents numerous prospects.

Here we list a few of them:

  • Earn a High Salary: Recent analysis shows that the most important element influencing data science salary is job experience. With at least seven years of experience, mid-career data science specialists may anticipate making a handsome salary. Highly skilled data scientists in managerial positions can make up to the desired pay packages. Data science salaries, however, also depend on criteria like sector, firm size, and degree.
  • Solve Complex Problems: You won’t ever grow tired of your job as a data science specialist if you like to solve challenging, practical challenges. Your job’s main duty is to process and analyse massive amounts of unprocessed data in order to come up with solutions and insights. You’ll get to address a variety of business issues, like:

Identifying methods to boost sales –

Acquiring knowledge of traits that set a target audience segment apart.

Discovering possible opportunities in various data sets.

Spotting hidden issues with how business operations are currently being conducted.

Creating infrastructure that aids in the collection and centralised storage of all data by an organisation.

  • Avoid Job Automation: The demand for data science positions is increasing at a fast pace which lowers the danger of automation for data science positions in general and data analysts in particular. Very few systems are capable of producing complex analyses. The majority of the automation is being done by data scientists.

Tips on advancing your data science career

You can advance your data-centric professions in one of two ways: either become data sciences professional and pursue positions such as data analyst, database developer, or data scientist or move into an analytics-enabled position such as functional business analyst or data-driven manager. Fundamental abilities and knowledge in data analytics, programming, data management, data mining, and data visualisation are needed for both professional pathways. The fact that even the biggest names in online marketing and entertainment, like Amazon and Netflix, rely heavily on data science and analytics to gain customer insights, demonstrates the relevance of the field.

Suggestions of Aspiring Data Scientists and Experts

The relatively new field is still evolving, thus career choices are variable despite the two tracks. Professionals in the field of data science, such as data analysts, may specialise in developing data systems or in data science, depending on their area of specialisation. A data analyst can become a data scientist by developing their understanding of big data analytics, artificial intelligence, statistics, data management, and other related fields. A data analyst can advance to the position of data system developer by expanding on their current technical knowledge in Python, relational databases, and machine learning. The majority of these abilities can be gained through work experience, individual study, data analytics boot camps, or online data science courses.

In a world filled with uncertainty, data is more crucial than ever. Businesses will need individuals with data science and analytical abilities to help them optimise resources and make data-driven choices as they continue to evolve. There is a path at edX for everyone, whether they want to learn about data science for the first time, develop valuable analytics skills that can be used in a variety of businesses or obtain a degree.

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Disclaimer

Views expressed above are the author’s own.

END OF ARTICLE

It is customary to organise and summarise numerical data using statistical approaches for descriptive purposes. To generate statistical reports, always from a quantitative perspective, the primary purpose of statistics is the collection and grouping of data. Data science and analytics careers are enjoyable and financially attractive. A career in data science or analytics does not usually progress in a straight line, though. A technical bachelor’s degree or a master’s degree isn’t always required for careers in data science, in contrast to more conventional occupations. Just the appropriate qualifications and experience will do. The ins and outs of data science and analytics job routes and abilities are covered here.

Source: https://timesofindia.indiatimes.com/blogs/voices/leverage-growth-with-data-science-and-analytics-a-new-age-career/

Donovan Larsen

Donovan is a columnist and associate editor at the Dark News. He has written on everything from the politics to diversity issues in the workplace.

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