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6 simple tips to be an expert in Data Science for Non-IT engineers.

Data science deals with the identification, representation, and extraction of meaningful information from a huge volume of the data source to be used for business purposes.  Gaining expertise in data science can be considered a good move as they open a world of opportunities to the aspirants.  It is estimated that by the year 2019, data science is going to generate millions of jobs in the market. Big corporate houses are putting in a lot of effort to harness the huge amount of data, analyse and categorise them systematically. If you wish to read more about them, you can log in to the portals of popular job searches. So, it can be said that being an expert in data science is definitely going to be beneficial in your career graph. 6 simple tips to be an expert in data science for the Non IT engineers are listed below.
  1. Choose the right role
There are numerous roles in the data science industry, like the data visualisation expert, data scientist, data mining engineer, data analyst, machine learning expert, etc. Since you are not from the information technology background, you should choose a role which matches your expertise and experience. This is because unless you are clear in your objectives it is difficult to achieve success in your profession.

If you are from the mathematics background and possess a sound knowledge of the multivariable calculus or linear algebra and can develop algorithms to determine relevant products then it would be easy for you to adapt the machine learning skill. Similarly, if you are from statistics background then acquiring the skills of a data analyst would be easy for you.
  1. Skill Up with a Curated Curriculum
After you have decided on a role in data science, the next logical thing would be to put in dedicated effort to understand the role and grasp it as quickly as possible. An easy way to do this would be to enroll in a data science course. The structured curriculum with plenty of feedback and practice in the form of exams and assignments is definitely going to put you in an advantageous position in your career.
  1. Choose a Tool/language and stick to it
While gaining experience in the data science curriculum, it is better to select an area of expertise depending on your earlier domain and background knowledge. It is always good to achieve end-to-end experience in whatever area you have selected. You can select any mainstream tool or language in data science and start your journey in data science.
  1. Do Real-Life Projects
Once you have attained sufficient proficiency in the different skills and tools of data science, it would be a good idea to practice them in real life situation. One of the best ways of doing this is getting enrolled in real-life projects. In addition to the experience gathered in the completion of the projects, they are also going to build your credentials as an aspiring data scientist when you upload the portfolio of the projects in your CV.
  1. Join a Peer Group
In your quest to be a data science expert, you can join a peer group to keep you motivated in your work. Sometimes taking up a new domain may seem a bit daunting task, especially if you wish to do that alone. So joining a peer group may make the job easier. You can either select a peer group with whom you can physically interact or you can select a group of people over the internet with similar goals. You can have a meaningful technical discussion with the members and enrich your knowledge.
  1. Focus on Practical Application
While undergoing the courses and training in data science, you should focus on the practical application of the modules in your curriculum. They would help you to understand the concept and provide a deeper sense of their working in reality.

 The above were the 6 simple yet important tips needed to be an expert in data science.
6 simple tips to be an expert in Data Science for Non-IT engineers. 6 simple tips to be an expert in Data Science for Non-IT engineers. Reviewed by Lokesh kumar on 9:32 AM Rating: 5