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.
