Data is driving the economy. There are a lot of free and paid certification courses teaching data-related skills. Every year a massive amount of data is created. To handle and manage this data skilled people are needed and that’s why the demand for data-related jobs is increasing.
Data Job Market
The most attractive job role is in the data-driven field. It is a market that requires a lot of passion and skills. And with degree other skilled courses, training, working on projects, and experience plays an equal and important role in the field. Acquiring skills is easy and possible for a beginner too.
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How to get into the Field
To start in this field figure out what kind of learning you like, figure out your learning curve. Make connections in the community and with people who are in the same field. And last, have a mentor who can help you.
Don’t get only into the theory it needs to be more hands-on work. Understand things by practice, do more projects. Have a strong knowledge of the field as it is evolving field be curious how it is changing. Keep augmenting and improving your knowledge.
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Job Roles
What happens to jobs related to data in 2021: After exploring the type of job and responsibilities with it you can decide if the field is suitable for you or not.
Data Analyst
Data analysts collect and interpret data according to the company’s need and after analyzing providing reports about trends, growth through visual effects. And based on it doing changes for the growth of the company. Determine organizational goals, data cleaning, mining, etc are part of this job.
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Data Scientist
Data scientist is one of the fastest-growing jobs in recent years. It is an exciting and highest-paid career that presents you with tons of opportunities. A strong programming skill-set is required. Using BI tools, SQL, python is an important part of it. Companies also train different background candidates for the role of a data scientist.
And even junior candidates can be hired for senior data scientist job roles. Experience plays an important role in the recruitment process. A large majority of data scientist has a bachelor degree, many have a master’s degree and many have a P.hD degree. Computer science, statistics, and mathematics, DS, and analysis are top courses pursued by the candidates.
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BI (Business Intelligence) Analyst
Working with clients and using current data to outline problems, understanding client’s requirements, and communicating with the team. Degrees in business, administration, finance, economics, etc. And a master’s degree is required for some positions.
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Data Architects
Job including creating a database from scratch and controlling access to data. Data architects design the way data will be retrieved, processed, and consumed. They are responsible for continually improving the way data is collected and stored.
They are responsible for improving data quality, eliminating redundancy, etc. A degree in computer science, engineering, or related field is required. Work experience is as important as a degree.
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Data Engineers
Data engineers take things further up the data science. They use data architect’s work as a stepping stone. They ensure that the data is clean and organized and can take over further. Data engineers implement complex, large-scale big data projects with a focus on collecting, managing, analyzing, visualizing large datasets.
They use tools and techniques to handle messy data. They are in all big data applications. A degree in software engineering, computer science, information technology is a good degree to start with.
Job Openings
All the internships you are doing will pay off in the end. Data professionals and specialists are earning even more after the crisis. Job openings are not much but if you are a skilled professional then you can still find a place in the market.
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Skills for Aspirants
To understand key concepts, various skill studies were conducted. And it shows key trends driving skills. Here are some of the must-have skills for data-related jobs:
- Besides mathematics and statistics, a sound knowledge of programming languages like python. Besides python, there are a few others programming languages like R, SQL, etc which are also sharing the attention in the community.
- Python’s libraries and frameworks are also required for solving complex problems for data-related jobs.
- Techniques like artificial neural networks, NLP, and other techniques for handling computation processes.
- Understanding of algorithms including neural networks.
- Having comfort with cloud service providers like AWS, Microsoft Azure, etc.
- Strong command over visualization tools.
- Knowledge of Github, notebook, Hadoop, etc.
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Myths and Truth
How can a person start in the field and its curriculum is not fixed. Finding a good platform and a good mentor who can help you in understanding the important topics is more important than a computer science degree. Any person with hard work, dedication, and motivation can do these types of jobs.