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Data science, a beginner’s guide to becoming a data scientist

Data science

Are you looking forward to learning about Data science?

Are you willing to get some professional education or certificate in this field?

Do you want to make sure that you are well aware of the benefits it can give to the businesses?

Well, whatever be the reasons behind you to search for the details of the data science, you have got the perfect place to get all your queries answered.

What is data science?

The data science is defined to be an inter disciplinary study that makes use of the scientific methods, processes, algorithms and systems to bring out the useful information, no matter the data is structured or not.  When we are talking about data science, we are basically referring to the terms of data mining and big data as well. Up till 2010, there was no existence of the concept of data science but as the terms of big data and data mining evolved, the term, data science was also coined.

Who is a data scientist?

Initially there was a vague career outline of the data scientist, but as it got into practice, the career of a data scientist became a highly anticipated job in the businesses and the professionally skilled people, who knew how to deal with the data science, were high in demand.

Today, all the large businesses know that they need proper data scientist in their teams, or they can simply outsource a professionally trained one and get all the data analysis and data structuring done by him. These data scientists are like the part and parcel of every organization today, as the amount of data is increasing vastly and some dedicated persons are required to take care of it.

Since the data science is safely referred to as a next level of artificial intelligence, it therefore does not require the basic skills of data mining and programming, rather it asks the professionals to get advanced in their skills for data analysis and provide a large spectrum data structure analysis for the businesses. Also, the data science process is a cyclic process, that keeps on entering one phase or another from time to time and the data scientist has to be flexible enough, in his skills, that he can take care of all these phases and happenings relevant to data at any time.

How to become a data scientist?

Since there is a lot of demand of the data scientists in the industry, the people are coming forward to become experts in this field. They are can now easily learn data science with the help of the short online courses, these courses also provide certificates on completion and even help in getting some really good jobs in the field. So, if you are planning to become a professional in this field, get registered on some reliable website in this field and become a data scientist today.

Why become a data scientist?

If you are still not clear about the career of a data scientist, you need to look at these statistics. The Glassdoor has ranked the job of the data scientist, to be the number one job in America. On the other hand, LinkedIn has declared that the data scientist job is one of the most promising jobs for the year 2018-19.

What can the data science career offer you?

Since data is everywhere and is ever expanding as well, the need for the data science can never be overlooked. Although, the vast term of data management involves all the fields of data mining, data programming and data analysis, yet the professionals with variety of expertise and skills are required for processing and managing this data. If you are into this field, these are the following careers to look up to.

  • Data Scientist

A data scientist is required to examine and analyze the data that is present in the business and he is able to mine it, clean it and then present it in a well-organized manner, the data that was previously in the unstructured form. The data scientist can manage the data and then analyze it to produce well-structured and strategically put data structures. Following are the skills that are required by the data scientists when they are working in a certain environment.

  • Programming skills (SAS, R, Python),
  • Statistical and mathematical skills
  • Storytelling and data visualization
  • SQL and machine learning
  • Data Analyst

A data analyst is also a very responsible and integral part of the data organization. The data analyst works as a bridge between the gap of the data scientist and the business demands. A data analyst, analyses and organizes the data in such a way that it is in a highly presentable form and can be organized well, in a way that the business strategies can match with it. In simple words, a data analyst makes the data readable to all the other parties in the business and answers their queries relevant to it. Here are the required skills.

  • Programming skills (SAS, R, Python)
  • statistical and mathematical skills
  • data wrangling
  • data visualization
  • Data engineer

a data engineer is a person who analyses exponentially increasing amount of data and the rapidly changing data in such a way, that the all his focus is on the development, deployment and management of the data so that it can be given to the data analyst in good shape. The typical skills required by a data engineer involve the following.

  • Programming languages (Java, Scala)
  • NoSQL databases (MongoDB, Cassandra DB)
  • frameworks (Apache Hadoop)

Together these three data managing professionals can deliver the best possible results that would definitely bring a positive and better change in the organization. so, if you want to pursue a career in the data science field, these three field can be one of your highly anticipated ones. We wish you all the best for your career selection.

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