Why should I choose to become a data scientist?

Maybe you’re aware or not, we are into the midst of the fourth industrial revolution or Industry 4.0 that is being driven by the Internet of Things (IoT) and Artificial Intelligence (AI). In short, currently, we are into the age of the internet and robots. Both IoT and AI are characterized by collection, analysis, and exchange of data – lots of data!

….tomorrow’s career

Data Science is the fuel of the 21^st century. Oil in the automation industry is considered as a mandatory requirement. Similarly, data science is required to handle a large volume of data and this makes it a mandatory requirement. Hunting career in data science is a wise move in the current scenario because all companies need data scientists, from manufacturers to internet retailers, from tech start-ups to government agencies.  Once you have equipped yourself with the necessary skills to become a data scientist, you can update yourself with necessary training or internships and here you go to stay on the leading edge of the data science industry.

Data Science in the automobile industry requires to impart autonomy and improve the safety of the vehicles. Therefore, in the automobile industry, data science is used to create powerful machines that think in data manner.

In the commercial sector, data science is used to maximize sales. To do so, it needs a detailed analysis of data behind sales, understanding purchase patterns of the clients, and implementing their feedback to improve the product. Obviously, a data scientist is required to perform these tasks.

In Business Intelligence Company, data scientist analyzes the potential of a company using customer’s views. Regular trends and behavioral patterns are analyzed here by a data scientist.

The Healthcare industry cannot be left behind! The healthcare industry utilizes data science in building conversational platforms for the mental health of patients or even to provide healthcare automation through machine learning and artificial intelligence.

….It’s all about skills!

Data literacy is all that you need to survive in this job along with the different ways to analyze, predict, and implement data. The variety of specialist projects are too numerous to list in full detail, but here are a few examples to whet your appetite:

Cleaning Data – Big, complex database systems will need frequent cleaning, reshaping, and archiving of datasets. Data cleaning projects require a good knowledge of Python or R.

Creating Interactive Data Visualizations – If you enjoy presenting data in unique and interesting formats, this kind of project will suit you. You will use dashboard software of some kind, e.g. Dash b Plotly, to create data insight visualizations for organizations.

Exploratory Data Analysis (EDA) – This involves interpreting the data, coming up with relevant questions about it that may reveal business insights, then answering the questions using SQL, Python, or another programming language.

Machine Learning – There are different complexity levels of machine learning projects. As a beginner, stick to linear and logistic regression projects as they are ideal. These types of projects are often used to create models to interpret data and communicate insights to managers.

….Stunning perks in return

• Hottest employment of the century A Harvard Business Review article says that data scientist is the hottest employment of the 21st century. There are numerous reasons that legitimize this title. Old industries that work in the field of data have supplanted their job posting titles with a data scientist. Organizations that work in finance, statistics, and operational research are looking more for this title. Data Science is driving an incentive to numerous organizations and the data science work pattern is developing consistently. Being in the most looked for after employment unmistakably implies that a person’s work development will be amazing.

• Opportunity to work If you meet a data scientist and ask him about being a data scientist, their answer would be – freedom. In data science, you will undoubtedly work for a specific industry. Perhaps the best favorable position of being a data scientist is that you work with technology and it implies you become a part of something that has colossal potential. You are allowed to deal with the activities that intrigue you. Furthermore, more significantly, you are changing the existence of thousands of individuals through your work in the field of data science.

• An opportunity to work with huge brands Being a data scientist, you are available to occupations in organizations like Amazon, Apple, and Uber. For instance, Amazon utilizes data science to offer items by prescribing them to clients. The information Amazon utilizes originates from its immense client base. Apple additionally utilizes large information to settle on choices for its item includes. Uber’s flood evaluation is perhaps the best case of how huge organizations use data science.

• The result is attractive The average pay of a data scientist in the US is around $120,000. Since 2011, 94 percent of the US graduates have secured data scientist positions with a compensation of $114,000. The data scientist job title holds the main situation among the top 25 best employments as per a 2016 report and in the momentum situation, it despite everything holds the position.

• Legitimate preparing and certificate course Data scientists, not at all like numerous other IT employments, don’t need to make futile examination material for tenderfoots. Numerous courses in data science are supported by specialists with strong experience and information in the field. That is the reason persuading yourself to find out about data science and representation can assist you with increasing more information and aptitudes in this field. Guaranteed data scientists can expect around a 58% salary increase, which is relatively higher than non-affirmed experts who get 35% possibilities. The way to advancement and resume shortlisting is clear for confirmed experts, yet it doesn’t really imply that self-educated data scientists can’t develop.

• Data science occupations sought after A data scientist can pick any career path – project management, security, system architecture, consultancy, and so on. For these subject matters, there’s a tremendous interest in proficient experts. The activity development rate is considerably over 100% for certain profiles. For instance, the activity development rate for data security analyst position is 279.69% and the same goes for different profiles too. More than 1.5 million data managers will be sought after by 2018’s year-end. IBM has anticipated that the interest of data scientists will keep on rising.

• Various jobs in the business Data Science is energizing, and it requires people who fit into various jobs to come to tackle genuine issues. All around the globe, large and small organizations are making information, each and every day. In any case, not every person is exploiting the information they create. To support these organizations, every person with a foundation in data science is required at various platforms. They are required for examination, making an interpretation of business issues into straightforward data questions, usage of a factual way to deal with data, and overcoming any issues among hypotheses and programming. Only one out of every odd bid for employment as much adaptability and unending learning opportunities.

• A sheltered profession to seek after New advances travel every way and that is the reason individuals have begun accepting that everything that sparkles in the tech world ends up being an air pocket. This isn’t the situation with data science. It doesn’t really imply that a data scientist should quit learning new skills since his activity will stay safe forever. We as a whole realize that different parts of the present technology, including data science, will be robotized. It implies a few regions will see robotized forms yet the field of data science will develop and the interest for data scientists will keep on developing. The individuals who will have skills and the correct attitude won’t be tossed out of their positions.

• Spend time with C-level administrators Data scientists deal with many technologies and programming languages. They utilize many tools to take care of business issues, and during the procedure, they gain the certainty of individuals from top administration. Data scientists work with individuals from different ventures and divisions, and as long as they are chipping away at improving their skills, they can be discovered spending time with C-level officials.

• Building a business turns out to be simple At the point when you know all around numerous enterprises and when you manufacture great contacts and increase the capacity to take care of true business issues, it turns out to be anything but difficult to build up your own business. The individuals who consistently dream about structure their own business before retirement, their experience, contacts, and data as a data scientist can be useful in their future undertakings.

Data science can help make the world a better place

If you analyze today’s technologies like big data and data science, you will be able to know that data science is beyond a tool used for business intelligence. Numerous philanthropists and social organizations are utilizing data to create products that are for social good. Artificial intelligence is also on the same path. Data science is definitely going to help businesses of all sizes to develop the inspiration for technology as a tool for enriching the lives of people. Therefore, data literacy is required to crude data to transform meaningful products and to understand the techniques to understand requirements to analyze and draw insights from data. In short, data science holds the key to the future.