Companies need you. They need someone to analyze their data. All companies are a source of information. The most seen, the most purchased, colors and features in which the customer is fixed, profile of the usual buyer … It is increasingly common for companies to record all this information, but … the question is, how to take advantage of all this to know where we are and where we want to go? What do they really need to take advantage of all this data? The data they store may contain great potential, but this needs to translate into better results for your business.

As companies increasingly store data and they are increasingly ubiquitous, companies desperately seek talent in what they now call data scientists. These skills are hard skills and soft skills.

Skills required to become a data scientist

Today, much of the emphasis on current hiring has focused on mastering these skills in order to convert and redirect your business. Many of the people selected, master part of what we call hard skills (or hard skills), as they technically know, are experts or have advanced training in subjects such as mathematics, statistics or economics. However, they are unaware of tools or languages to perform the analysis or have great difficulty communicating their ideas or presenting them in a way that makes the company change course depending on the result obtained.

According to Data science training institute in Bangalore, the key to gathering skills and becoming a good scientist is training in the different key subjects that will influence the different functions of this profile.

Hard skills

  • Mathematical and analytical knowledge. (Computer scientists, mathematicians and statisticians have a good basis in this key)
  • Database control such as PL / SQL or SQL.
  • Skills of different programming languages.
  • Advanced management in programs such as Python, Hadoop , Pig …
  • Control of distributed storage systems.

Soft skills

  • Business intelligence skills. Establishing a fluid communication with the company, intuition when it comes to finding the business opportunity …
  • Intuition in data analysis and business analysis.
  • Vision of industrial transformation.
  • Interpretation of statistics and market parameters.
  • Ability to acquire, display and translate the information to the company so that it thrives. Business skills.

Although it seems difficult, after obtaining the basic mathematical, computer, analysis knowledge … that we have acquired in our initial professional career, all these skills are developed and instructed together in a single and complete certification. There are institutes that are always analyzing the demand for booming professions that offer certification courses for, after having finished studies as a computer scientist, mathematician, statistic … have the specific knowledge for what the market now demands. One of the best institute is Prwatech. You can find in it certification courses such as the one offered by Data science training institute in Bangalore. With certifications like this, the scientist will develop the necessary skills required to be a Data Scientist.

After the studies, do not stand still. Find your opportunity and differentiate yourself from the rest. Design your career plan and bet on demand. Use your potential and develop your skills to face the world of information.