Is data science really a rising career?

A huge amount of data is generated every day by companies. This means every company is now sitting with a pile of data and does not really know what to do with that data. So, to organize this volume of data and draw meaningful insights from it, they require people who are experts in Data Science.

Organizations (irrespective of their size) are on the lookout of those employees who can fathom as well as synthesize data and then, in turn, communicate those very outcomes in a method that serves advantageous to the organization and assists the management in making decisions.

A data scientist can work in any global location. In addition, along with the technology industry, a data scientist can work in different industries as well as domains, ranging from pharma/healthcare to sales/marketing. They can also work in domains like consulting, financial services, CPG industries, and retail.

Apart from the above-mentioned uses, data science has proven to solve many complex real-time problems. A few examples of the real-world problems which have found peace in the modern-day data-driven solutions are:

· Advancement in the field of data science has made it easier to detect fraud and abuse in insurance firms now. The credit card fraud detection system works on similar grounds. It protects the security of customers, thus, minimizing losses due to fraud.

· Automated piloting: The concept behind self-driven vehicles runs on data science. Still, in its nascent stage, this will change the functioning of the automobile industry entirely.

· Prediction of short term (local) and long term (global) weather.

The demand for professionals in data is increasing due to the rise in the popularity of data-driven decision making. Where people used Excel to work on data earlier, tools like Hadoop have nowadays secured a place for managing Big Data. With frequent advancement in technology, several other tools find a meaningful use for organizations to make impactful decisions. The usage of a few is listed below:

· Tools like Python and R have witnessed exceptional improvements in their codes. These allow users to solve complex problems with only a few lines of codes.

· Google Analytics is another effective tool for the marketing department.

· Tools like Tableau, Microsoft Power BI and Sisense have found relevance in the business intelligence departments for the purpose of data visualization.

Nowadays, there are plenty of options for data science training that one can opt for. There are many institutes offering data science courses and I would recommend you to enrol in Technogeeks data science program, they offer the best combination of data science courses which are in demand and the course which they offer is provided by working IT professionals.

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What is Data Science? Scope and Career Opportunities

Data Science is trendier nowadays. The name “Data Science”, I think heard by many people. Data refers to information and Science refers to a study of extracted information. So the term Data Science refers to extract information or knowledge from the available data. Many categories come under the Data Science those are machine learning, deep learning, NLP, Python, artificial intelligence, etc.

Data Science is a process where we understand the data, extract information and use it to make a meaningful product out of it. On the basis of this meaningful product, business decisions are made on. Data analyzed by data scientists is called big data. This big data is drawn from many resources and this big data can be divided into two kinds, one is structured data and other is unstructured data. Structured data is easy to understand, sort, read, organize and analyze. A few examples of structured data are data collected from phones, sales data, data related to accounts, website traffic, etc. Whereas unstructured data we can describe as emails, photos, videos, customer reviews, media posts or we can say human input. Unstructured data is very typical to understand, sort, process and analyze. Unstructured data also requires a big investment to manage.

Generally, companies hire data scientists to manage this unstructured data but it is not like that they have to manage unstructured data only, they have also to deal with structured data.

Data Science as a career option: -

Data Science is a fast-growing field, job opening has increased by 75% from 2015 to 2018, even though searches for data scientists' jobs have also increased by 65% in the same span of time.

As we know data shape the business, and for the fast-growing business, there is a need to analyze data and make a meaningful sense of the information. Data science is also helpful for E-commerce as they used to collect more than purchase data, data scientists help to improve customer service and also help to develop products and services. Also in a finance industry data scientists helps to secure data, fraud detection and other major concerns related to debit cards, credit cards and other account transactions. In a social networking field, data science is helping to improve customer satisfaction, establish trends and also helpful to enhance features and other services.

Data Scientist should have the following skills: -

ü Data scientists should be an expert in programming, as it improves statistics skills, helps to analyze data.

ü Quantitative skills are also important for data scientists. It helps to scale your data strategy and implementing machine learning.

ü Product intuition is also an important skill as this helps you to predict system behavior and improve debugging skills.

ü  Communication an important skill for every industry and every individual.

ü Teamwork is also necessary to be a data scientist.