This blog on Data Science careers covers the following:
What is Data Science?
Many may argue, but Data Science is one of the hottest career options in the 21st century. In today’s technological and digital world, there are many with questions that can only be answered through Big Data. From small companies and startups to leading MNCs across the globe, Data Science has made its mark.
Check out this YouTube video on Data Science:
Now, to clear your doubts regarding a career in Data Science, let’s first understand what this term means. This term refers to analyzing past data and predicting future business growth with the help of Deep Learning and Machine Learning algorithms, mathematical and statistical concepts and techniques, and probability, along with numerous other advanced tools and technologies. The overall gist of Data Science is to look for hidden patterns and market trends from the given business data to make improved and well-informed business decisions for the future.
In Data Science, you not only need to have a good understanding of Python and SQL, but you also need to have the ability to use and combine your analytical and statistical skills to gain useful information and insights from the given business data and make necessary improvements in your organization.
You have understood in-depth about what Data Science is and what can be done with its help. You will now read about Data Scientist and their Data Scientist career path.
Who is a Data Scientist?
Data Scientists are professionals who possess numerous skills. They are a combination of statisticians, trend-spotters, mathematicians, and computer scientists. The main job role of these professionals is to decipher and decrypt huge chunks of data and further analyze it to explore and extract patterns from this data to gain valuable information. Besides, they operate in the world of IT, business, and several other industries by analyzing complex sets of data to gain insights that can be leveraged into actions by organizations.
These IT professionals generally collect and analyze business data. They do this with the help of a myriad of tools, technologies, and techniques with one goal in mind, reaching a sensible conclusion with the help of the given data. Usually, they present their organizations’ data in a visual format so that the other members of their organizations can visualize the data in a comprehensive format.
What do they do?
Let’s briefly understand what these professionals do, what a career in Data Science demands, and what are their major roles and responsibilities in the organizations they work in.
Data Scientists’ main role in an organization is to perform data mining, data cleaning, and further representing the data with data visualization tools to the members of the organization such that they can read and comprehend the presented data. Companies look for these professionals so that they can help store, manage, and analyze huge amounts of raw company data that are provided in both structured and unstructured format.
Now, let’s discuss various skills and other such requirements necessary to pursue a career in Data Science.
Data Scientist Job Requirements
Following are the must-have skills you need to most definitely acquire to make a career transition to Data Science:
- Learn statistics and mathematics
- Excellent skills in R, Java, Python, or any such programming language
- Understand the ETL (Extract, Transfer, and Load) concept and the process
- Knowledge of Machine Learning algorithms and tools
- Gain experience in data wrangling, data visualization, and data exploration
- Learn concepts and techniques of Deep Learning
- Gain industry-experience in Big Data-related problems
For a successful Data Science career path, you need to have the above skills and knowledge. Moreover, you also need to have working experience in real-time projects that will act as an additional benefit for you and highlight your Data Science resume when you apply for jobs. You can gain these skills, along with the necessary experience, by signing up for one of the best online Data Science courses. This holds especially if you get trained from one of the best courses from Intellipaat as in these courses, besides getting trained, you will also gain hands-on experience in working on industry-based projects that will help enhance your skills and your learning experience.
Further, you will come across the possible job growth you can have in this domain.
Data Science Job Growth
According to IBM and Forbes, the rise in the demand for Data Science professionals will lead to the creation of at least 700,000 new jobs in this domain in 2020.
As per the anticipation of the Bureau of Labor Statistics, there will be over 13 percent growth in jobs in the IT field between the years 2016 and 2026.
As per Indeed, there will be about a 29 percent increase in job openings for professionals in this domain this year.
Glassdoor mentions that there are over 32,500 jobs available for Data Scientists only in the United States.
Source: Market Research Future
You have read about the demands and job growth in the field of Data Science. Now, let’s discuss the numerous job opportunities and openings available for Data Scientists and other professionals in Data Science.
Data Science Job Opportunities
There are a plethora of job profiles and opportunities available in leading companies for professionals in Data Science. Some of these Data Science careers prospects include:
- Business Analyst
- Data Analyst
- Data Scientist
- Product Analyst
- Data Science Engineer
- Analytics Consultant
- Machine Learning Engineer
You will further come across the salaries earned by these professionals.
Data Science Career Salary
Data Science professionals are one of the highest-earning IT professionals today. This is due to the exponential rise in their demand. However, since there is not enough availability and supply of professionals in this domain, they are generally paid great.
According to Glassdoor, Data Scientists earn in the range of US$113k to US$154k yearly in the United States on an average basis.
In India, the average income of these professionals is about ₹992k yearly. This may rise to ₹1,978k with better knowledge and experience.
This blog aims to help you understand ‘How to start a career in Data Science?’ It begins by explaining what Data Science is in detail and goes on to describe how to start a career in Data Science, who Data Scientists are and what they do. Further, this blog talks about some of the basic requirements and skills you need to meet to build a career in Data Science. Later in this blog, you also learned about the potential growth in this domain. You came across numerous Data Science careers you can opt for once you get trained and experience in Data Science. In the end, you read about how much you can earn as a Data Scientist. So, if you wish to learn Data Science and pursue a career in this field, then you must register for one of the best online courses in this domain today!
You can clear any doubts you have about Data Science by reaching out to us in our Data Science Community!