What is Data Science – Data science is a field of study that is growing at a rapid pace. Websites from large tech companies to e-commerce companies and many others now rely on data science. The amount of data collected by these companies is not without limits. The semi-structure for unstructured big data is stored in the large structures of these companies.
Data science is basically the application of a combination of mathematical, statistical, analytical, and programming skills to the collection, organization, and interpretation of data to allow for the effective and appropriate management of the business whose data it is.
The work of such scientists is trending all over the world. The demand for such scientists is huge, exceeding the number of available candidates. A recent report states that the demand for these scientists has increased by more than 50% since last year. These scientists often referred to as big data wranglers, are a perfect mix of mathematicians and computer scientists.
Need for Data Science
A few years ago, the problem was the storage of such large amounts of big data. Now that issue is resolved, and the current dilemma is how to make sense of it and the answer is data science and analytics. Data science tools sort, group and analyze big data and help make it smarter.
As long as we can use it to raise our concerns and create value, a large data structure is of no use. Science uses many valuable algorithms and scientific methods such as machine learning, R, mahout, hive, etc. To extract valuable data, transforming raw data into analyzable data is the core of data science.
It is used for a variety of purposes: For predictive analysis of future patterns. To understand customer insights. Carry out business processes. For public medical and health purposes. Even for personal use, such as armbands and smart watches that give data, health gives an individual insight. For the purposes of defense and law. To know the current trend of investment and returns, for financial trading and analysis.
Need for Data Scientist
Now that we have big data, data science tools and a stated purpose for us. The only requirement is qualified and hard-working data scientists who have a knack for solving problems. You do not need to do a PhD to become a successful scientist.
There should be only some mathematical and technical background and the rest can be learned. But one of the most important things is to have a strong strategic mindset and skills. Because a data scientist will not only create a data product from raw information but must also be able to solve core business problems.
What is a Data Scientist
A data scientist is one who can perform many different aspects of data crunching but not necessarily one of them being an expert, abbreviated as ‘jack-of-all-trades’. The person who wants to become a data scientist must have mathematical skills, statistical skills and programming skills and a detailed understanding of all of them.
This person should also have strong business knowledge so that he/she can go through business problems completely and can build strong business strategies for the future. Only then will you be able to apply your skills effectively in the organization in which you will be employed.
What does a Data Scientist Do
They are analysts who demonstrate data science. His work deals with analyzing research and data to extract useful insights from raw facts and figures and then translate them into useful information to help organizations by predicting growth and development.
They help organizations find solutions to business problems and issues by analyzing data utilizing their skills and expertise.
How to become a Data Scientist
If you are keen to become a data scientist, the main skills will include: Learn about mathematical knowledge and technical knowledge and data science tools and algorithms. Your mindset.
A data scientist should have the intellectual curiosity to learn about the problem. Data scientists must be highly curious to see new problems, ask them new questions, and try to find solutions.
If you are a millennial on the hunt for a new job or you already have a career that you need to jumpstart, then Big Data is your best hope. Why Big Data? In today’s advanced era where everything is being done through computers, massive information is stored as zeros and people. 7.6 billion people on the planet use the Internet for personal or business needs, so the amount of data generated will be huge.
Our brains are only able to move through so much data before being overwhelmed by a cohesive stream of data. But in our heads we have the key to solve every challenge possible through the quick application of compound mathematical ideas and some easy computer applications. Big data is about analyzing large data sets to reveal patterns and trends, especially as they relate to human behavior and interactions.
Top companies hiring Data Scientist
Top companies as well as startups need data scientists because there is a huge amount of data flowing into organizations databases. Top business concerns include Flipkart, Amazon and LinkedIn, and startups include Accenture, Heckillon and Dataview.
They are in great demand by the above mentioned corporations and startups. Salary possibilities are high, between 5 lakh and 1 crore. The huge demand reflects how their role makes the organization more successful and profitable. These scientists help the organization to make smart and logical decisions, increase business profitability and help them to travel the path of growth and development.
what to expect
This era has seen much modernization and with the computers being used in every field, the amount of data produced has increased rapidly. For you this means that there will be a lot of opportunities to flourish as a data scientist or data analyst.
What is Data Science Course – Certification is must
Like every other aspect of life, certification plays a very important role. Getting a certificate from a reputable source not only tells your employer that you are knowledgeable about the subject, but it also tells them that you are dedicated and will go the extra mile to improve their knowledge.
This is an area where one should be trained and practiced. Without proper training and practical skills, one cannot be successful as a data scientist. There is a lot to learn about various data science tools and techniques. Being certified will not only help you improve your skills, but will also confirm your future as a data scientist.
How Certification Can Benefit You
A good certification program will always ensure that you are fully trained in basic and advanced aspects of the field. Courses are available in both online and offline versions as per the convenience for the candidates.
The online version is highly recommended for those who prefer to learn at their own pace. Those who prefer an up-close classroom environment for their training can always opt for the offline version of the certification program.
Online and offline Mode
The quality of the material being taught to the candidates will not vary according to the method of presentation. Those who opt for the online mode will be taught through a series of pre-determined video lectures by some of the most qualified individuals in their fields. The online session will be filled with interactive quizzes to reinforce what the candidate has learned.
On the other hand, the class version will have more interactive sessions where they can raise their question and get answers on the spot. Those who opt for an online course will have a way for instructors to put questions online and discuss topics with other like-minded people that will enable them to thrive.
Future of Data Scientists by 2020
The growth of job profiles asking for analytical and scientific skills from 2.3 million in 2015 to 2.9 million in the year 2018 is evident of the fact that the scope and value of data scientist is going to expand to provide better opportunities in the near future.
The workforce needs of the big giants have now turned into a huge demand to have the necessary skill sets and knowledge base for a highly skilled breed of professionals such as data analysts, data scientists, machine learning and more.
But the major difficulty is that the availability of skilled professionals is less than the huge demand made by top fortune companies. It is important that the gap that is created is to be filled.
This can only be done when existing professionals hone their skill sets by learning the skills required to deal with big data and new entrants aspire to become data scientists.
Why you can choose data Scientist as a future career option
1. The major source of attraction that will make candidates to go into data science is the beautiful salary package offered by companies in the field of data science.
2. A substantial amount of job opportunities are available in the field of data science. Therefore, one need not worry about whether any company will recruit him as a data scientist.
In today’s era, every company needs data scientists because they have the knowledge base and expertise to deal with data and gain perceptions outside it which makes the decision-making process even smarter and logical.
3. The knowledge base acquired from data sets and data science courses helps you reach greater heights in your life, whether personal or professional.
4. If numbers and algorithms intrigue you and you like coding, then pursuing data science as a career option is the best decision of your life.
Why data science is recognized by organizations
Smart decisions based on the expertise of professionals help organizations improve the productivity and profitability of business firms. It also assists organizations in identifying and implementing new market revenue opportunities as well as taking steps to identify and overcome early warning signs.
All this can be achieved by effective and appropriate analysis of data using tools and methods associated with data analysis which is the major responsibility of the data scientist. Making the right decision at the right time will serve as a icing on the cake. It serves as a medium to improve customer satisfaction, leading the company on the path of growth and development.
The adoption of data science has become the lifeblood of every successful and profitable business venture. It can therefore be said that it is not a question of whether organizations should adopt data science. It is important that every organization should be kept in mind if it is to move forward on the path of success.
Conclusion of Data Science
A job position as a data scientist can be a complete change for a person in his or her career. A career in the field of data analytics is a very promising field and will result in a challenging, rewarding career. The data scientist profession is the hottest career option in your lifetime. Take it further and enhance your career.
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