This article explains what data science is. What is a data scientist? What do data scientists do? How to be a data scientist? Is data science a good career? What is a data scientist’s job? How are data science jobs in India and abroad? And a lot more.
What is Data Science?
Data science is the study of huge amounts of data using cutting-edge technologies and methods like machine learning, artificial intelligence, and big data. Engineers use data science to find certain patterns in the data and derive some useful information from it. Additionally, this knowledge can be helpful for many business decisions. A data scientist is someone who conducts all of these tasks and processes.
Who is a Data Scientist?
A data scientist uses data to clarify the problem, provide examples, and aid in decision-making for an organization. They are a mix of mathematicians, computer scientists, and trend forecasters and therefore are in very high demand in both the commercial and IT sectors.
What Does a Data Scientist Do?
Understanding how to collect and analyze useful information from the data is a data scientist's main task. Other roles and tasks of a data scientist are as follows:
Creating data, recommending economic changes to the current techniques and approaches, and modeling methodologies.
Constructing standard machine learning models and data to predict the results.
Continuously extracting enormous amounts of unstructured data and structured data via APIs, web scraping, and surveys.
Work with multiple departments to find scientific answers to business problems.
Organizing data to remove unnecessary information and performing an exploratory data analysis to determine how to handle missing data.
What Skills are Required to Become a Data Scientist?
A data scientist is someone who works with a lot of data and is in charge of organizing, analyzing, and decoding it at different levels. A data scientist possesses a variety of professional and statistical abilities; among the most significant ones are as follows:
Good mastery of programming languages including SAS, Hadoop, SQL, PowerBI, and Python.
Good knowledge of machine learning methods.
The capacity to visualize data, analyze risk, and report on trends and patterns.
Effective communication abilities in both written and spoken language.
The capacity to create algorithms for mining and storing massive data.
Understanding of the various cloud computing tools.
Knowledge of data extraction, mistake correction, and munging.
The capacity to design a program using mathematical knowledge, statistics, and probability.
With the help of many offline as well as online certification courses, you can pursue a career in the data science field even if you are a beginner or have little experience. High-quality data science courses are available online from InsideAIML that can assist you in earning a professional or executive-level certification from reputable institutions. These courses' wide and varied curriculum, created by knowledgeable instructors, will help you develop marketable skills and a thorough understanding of the subject.
What is the Salary of a Data Scientist?
The pay of a data scientist is based on experience, educational background, data analytics skills, and geographic location. Data scientists are needed in a variety of disciplines, including healthcare, IT, digital media, manufacturing, machine translation, big data, the automotive sector, medical informatics, speech recognition, and even economics and human resources.
In India, there are numerous employment openings for data scientists. Whether you have experience as a software developer, data analyst, business analyst, system administrator, or database administrator, you can earn a lot in this field.
A data scientist's pay in India ranges from Rs. 4 to 4.5 lakhs (at the junior level) and shoots up to Rs. 24 to 25 lakhs (at the mid-senior level). The average annual wage for a data scientist is approximately Rs. 10 lakhs.
What is the Data Scientists’ Salary in Other Countries?
In the United States, data scientists typically make $120,000 a year. For data scientists, the compensation is the highest in any nation.
The second-highest paying nation for data scientists is Australia. The increase in data scientists coming to the United States from Australia and other nations is proof of this. Depending on experience, the typical compensation for a data scientist ranges from AU$ 75,233 to AU$ 121,578 annually.
Nobody could have foreseen that Israel would develop into a significant IT hub with a wide range of job prospects for both beginning and seasoned data scientists. Working data professionals in Tel Aviv, Israel, make about $88,000 a year.
If you're looking for work in data science in Canada, you're in for a treat. In Canada, data scientists make about $81,000 a year. A data scientist may earn up to $117,750 per year, with a starting salary of $77,870.
People seeking to work in data science in Germany might make up to 5,960 euros per month. On average, they make 71,520 euros per annum.
What is the Data Scientist Career Scope?
Data is crucial in this age of digital platforms, which we now live in. The amount of data that is collected, analyzed, and processed on a daily basis is growing and will continue to do so over the next few days. As a result, every industry has a great need for data scientists.
Top companies in India like Accenture, Tata Consultancy Services Limited, HCL Technologies Ltd, IBM India Private Limited, and Amazon, are actively recruiting Data Scientists.
So, if you're interested in becoming a data scientist and are constantly seeking to learn more about data and how it functions, arm yourself with the necessary knowledge and credentials before advancing to exploring the data from the data scientist's perspective.
Can I make a career in Data Science?
The short answer is YES!!!
Being a successful data scientist requires not only technical skills but also a deep understanding of business requirements, collaboration with various stakeholders, and the ability to influence business executives to take action on the information provided. And, you can learn all this in a short-term data science program.
1. Do I need a degree to become a Data Scientist?
There is no degree that can make you a data scientist.
"Data scientist" is not a protected title, in contrast to many other occupational titles. For instance, there are strict criteria for lawyers, nurses, and medical professionals. But data science does not have any such criteria.
However, data science is fundamentally interdisciplinary and has many applications, so education is still necessary. There are many different educational backgrounds among data scientists.
If you want to work in data science, the two most frequently recommended degrees are in computer-related subjects and statistics.
Obtain a bachelor's degree in computer science, mathematics, physics, information technology, or a related field; get a master's in data science or a similarly related field.
Note: Though computer science degrees are preferred, there is no rule that other field students can’t join a data science career. Data science is open to all.
2. How much money can you make in data science?
In India, a data scientist makes an average salary of Rs. 6.5 LPA. A data scientist with less than a year of experience might expect to make around Rs. 4 LPA. A data scientist with between one and four years of experience can anticipate making roughly Rs. 6 to 7 LPA annually. A mid-level data scientist in India with 6 to 9 years of experience may expect to make Rs. 22 to 35 LPA.
In India, senior data scientists make over 2,700,000 per year as their knowledge and abilities advance.
3. Are Data scientists the highest paying jobs?
According to Glassdoor, the average yearly salary for data scientists is Rs. 6.5 LPA. Data Science is therefore an extremely lucrative job option.
5 million unfilled positions in data analysis, data science, and related sectors are anticipated between 2020 and 2025. (source: IBM).
By 2025, demand from employers for data scientists and data engineers is anticipated to increase by 39%.
4. Is data science a good career?
The inflow of data has grown exponentially in recent years. Numerous new opportunities, notably in data science, emerged as huge amounts of data started to pour into data centers. Due to the data landscape's technological developments, digital transformation was the only viable alternative.
Businesses are hiring people to fill positions in data science and similar fields as more industries adopt digitization. Experts in data science are in high demand everywhere in the world.
Beyond 2022, these job prospects are probably going to improve dramatically, with more than 1.5 lakh new jobs being generated. Data science is a wonderful career choice because it has been named the top job in the United States by Glassdoor for the last four years.
5. Can I become a data scientist with no experience?
Due to the attractive job opportunities in the burgeoning field of data science, many people may be thinking about changing their careers. However, you must be able to articulate why your career has changed. If you keep these points in mind, you could become a data scientist without any prior experience.
The following three steps will help you become a data scientist: Obtain a bachelor's degree in computer science, mathematics, physics, information technology, or a related field; get a master's in data science or a similarly related field; Get experience in the field you want to work in (ex: healthcare, physics, business).
If you have already completed your backer’s or master’s and are in no mood to repeat college, enroll in a short-term data science course. For example, InsideAIML’s 6 months of Data Science Master’s Certification can teach you the data science basics and place you in a good job for further learning and advancing your career.
6. Can I become a data scientist without a master’s?
Although some institutions are offering Master's Programs, the bulk of data scientists working today do not have a master’s degree. So, practically, you don’t need a master’s degree to become a data scientist.
7. Can I learn data science without Programming?
Data science is one of the most challenging and well-liked areas of computer science. You must first comprehend certain fundamental data science concepts before you can tackle a range of problems in the real world without writing a single line of code.
While programming is unquestionably a vital skill for a job as a data scientist, this does not imply that you have to be an obsessive coder. Good coding skills are highly desired but not necessary for a data scientist.