How to get a high-paid job as a Data Scientist ?
Want to become a Data Scientist and have a job lined up for you?
A modern firm depends on data since it fosters innovation and spurs the economy.
This article gives you a brief on what actually data science is, the skills required, job opportunities for a data scientist, and where one can learn data science courses to excel in their data science career.
What is Data Science?
Data science is a branch of study which includes subject-matter experience, programming knowledge, and an understanding of mathematics and statistics to develop data-based conclusions. Data Scientists apply Machine learning algorithms to predict, classify and numbers, images, and videos to produce artificial intelligence technology to carry out actions often performed by humans.
Let’s consider an example case, how recommendations are made for users by search engines depending on their selections.
Businesses utilize recommendation engines which are created using various machine learning algorithms. By focusing on the marketing channels with the highest return on investment (ROI), businesses can reduce such waste through the effective use of data. As a result, a business can generate more leads without spending more on advertising. Here data is processed using basic stats and math techniques to get a detailed understanding which may be put into use.
What do data scientists do?
An individual who can understand and derive meaning from data is known as a data scientist. Firstly, data scientists gain a good data foundation in order to perform valid analyses. They spend a lot of time collecting and cleaning the data. Then they perform visualization of the data collected by using tools like Python, R, and SQL
Data scientists work with technical tools like
- R programming
- iPython Notebooks
- Cloud Computing
- Apache Spark
Job Roles of a Data Scientist
The duties and responsibilities of data scientists are extremely varied. The job roles of a Data scientist are
- Data collection and source identification
- Construct strategies and solutions for corporate issues.
- To develop a data strategy in collaboration with the team and the leaders
- Present data using a variety of tools and data visualization techniques.
- Look into additional tools and technology for creating creative data strategies.
- Develop all-encompassing analytical solutions from data collection to display; aid in building data engineering pipelines.
- Keep up with the most recent tools, trends, and technology to increase general effectiveness and performance. Assess the viability of AI/ML solutions for business outcomes and procedures by leading talks.
How to become a Data Scientist?
- Obtain a bachelor’s degree in business, math, computer science, or a related discipline
- Obtain a master’s in data science or a similar discipline
- Gain knowledge in the area you really want to work in.
What is the salary of a data scientist?
According to the U.S. Bureau of Labour Statistics, a data scientist can earn an average salary of $100,560 per year. As companies realize the power and profitability of big data, employees with different data skill sets are set to earn higher compared to those handling non-data science roles. There are numerous Job opportunities in data science whether you are a fresh graduate, or a professional interested in including data science in your skillset. The rise of big data and its growing significance for businesses and other organizations have been linked to the high demand. The list is endless, but the following are possible job opportunities in data science, artificial intelligence, and machine learning:
These Data Science Roles are shaping the future and are highly valued with mouth-watering salaries.
Steps that might help in securing a role as Data Scientist
Following these steps would help you secure a role as a Data Scientist
- Having Knowledge of Relevant Programming Languages.
- Learning-related skills like Excel, Visualization tools like PowerBI, and tableau.
- Earning Certification in related skills.
What is the Salary of a Data Scientist?
As we all know data science is one of the most booming fields in computer science and it has a lot of demand in every sector like medicine, biotechnology, retail, banking, automobiles, and the list goes on and on…
So expected salary in India ranges between ₹ 4.0 Lakhs to ₹ 25.0 Lakhs with an average annual salary of ₹ 10.0 Lakhs(Source:emeritus.org)
Who can learn Data Science?
Anyone, whether a newcomer or a professional, willing to learn Data Science can opt for it. To become a data scientist, you will need to have strong analytical and mathematical skills. Additionally, you should be able to use statistical software packages and be familiar with Programming Languages such as Python or R. Anyone who wants to learn data science can do so, regardless of experience level. Professionals in engineering, marketing, software, and IT can enrol in part-time or external data science programmes. Basic high school-level subjects are the minimal required for conventional Data Science courses.
Data scientists also typically have a certification from an accredited program. Engineers, Marketing Professionals, Software, and IT professionals can take up part-time or external programs in Data Science. For regular courses in Data Science, basic high school-level subjects are the minimum requirement.
Why Should I Learn Data Science?
As Data is called the oil of the future and it is one of the booming fields where we can expect so many roles like ML Engineer, Data Analyst, Business Intelligence Analyst, and mainly Data Scientist. It is widely used in the banking and finance sectors for fraud detection and personalized financial advice.
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And here are some of the reasons why anyone from any field of expertise should learn Data Science
- High Salary
- Job security
- Many Opportunity
- Flexibility of learning
- Work across various sectors
Data scientists assist businesses in understanding their markets, customers, and business. One of the fields that are growing is data science. It now plays a significant role in nearly every industry. It offers the best options for meeting the challenges posed by the ever-increasing demand and ensuring a sustainable future. The demand for data scientists is also growing in tandem with the growing significance of data science. Data scientists are the world’s future. As a result, a data scientist needs to be able to come up with innovative solutions that meet the needs of all industries.
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