Career in Data Science Catches On

How can someone mark their presence at the entry level job as a Data Scientist or Data Analyst?

Glassdoor considers data science as the highest paid sector. The main reason is that the demand for data scientists is high and supply is deficient. So, the salaries are also very high. People are willing to become the part of data science journey. The main role of a data scientist is to collect data and analyze it in order to get deeper insights from the same. They fill the gap between business and IT world to drive business growth with accurate analysis capability. One can join the Hadoop Training to learn how to perform analysis over a huge amount of data.

Data-enabled decision making is getting businesses attention today. In the traditional business model, analysts were using applications such as Excel to analyze information, but now the time has changed. Technology is capable of serving advanced support to businesses with:

• Tools like Google Analytics which are serving good for marketing departments.
• Complex ERP models have simplified business work by breaking information and making it visual to the company. E.g., SAP and MS Dynamics, Tryton, Stoq etc., are supporting analysts in supply and distribution, human resource decisions, and in various ways.
• Salesforce, Tableau, Microsoft, Google provides BI to your business so that analysts can visualize information in unparalleled methods and uncover the valuable insights in business.
• Development of useful modules in programming languages like Python and R eliminates hurdle in complex analysis with quick implementation.

These tools are easy to handle. Your business can take advantage of them by hiring only a few employees. So, what's your opinion? Would you like to go for a data science team?

How Data Science is Used in Real World

Facebook: Facebook backed by users' information is generating a lot of revenue. Depending on the user's interaction with their platform, Facebook recognizes the user's pattern and their behaviour such as likes and dislikes to understand their interests. They know your interest and even what you are fond of. Thus, they can target the qualified leads in incredible ways.

Google: Google's search engine is capable enough to drive the whole business work. Other products such as YouTube, AdSense, AdWords etc., are maximizing its revenue with effective marketing strategies. Even their human resource department is adopting these intelligent methods to fulfil employees demand and create an ergonomic environment in the company for better productivity.

Amazon: The complex data science algorithm powers the product recommendation engine used by Amazon. It assists Amazon in making predictions for the which product you are going to buy. It counts for the probability, and if it is high enough, you will be recommended with the product, and they could try to deliver it on the same day.

Not only big companies, small and medium enterprises are also implementing data science in their business logic, marketing strategies etc., by using applications like Google analytics to make accurate decisions.

Now if you are not using a data-driven approach in making your decisions, you will be left behind. Your competitors will surpass you and grab your market. So, you must implement data science tools and strategies to help your business grow.