Does the glamour of the world data science has lured too? Do you also think that Data science is quite a lucrative profile? If yes, then keep reading…
The profile of a data scientist has hyped so much in the market that every second person without even realizing what the profile implies wants to don the role of a data scientist. While it is a given fact that data scientists are no unicorns, they are also not mythical creatures that have descended from the heavens above. Data scientists are not the people who know how to do everything required for success.
Before you think of venturing into the field of Data Science remember you need to know about the basics, which includes – qualifications, skills required and data science certifications to ensure that you are well equipped for the data science jobs available in the market. So let’s have a look at the skills required to become a data scientist –
Skills required for Data Scientist jobs
- In-depth knowledge of SAS and/or R
- Python coding
- Hadoop Platform
- SQL database/coding
- Working with unstructured data
Other than the above-mentioned skills it will be interesting to note that there are four types of data scientists and that each one has a different mix of skills, aptitudes and desires
- Data businessperson
- Data creative
- Data developer
- Data researcher
After you have acquired the aforementioned skills you can hone your skills by interning with firms that offer the role of data analysts. Yes, it is important to train as data analyst first before you move to data science position. The experience you will gain as a data analyst will help you have better understanding of the concepts and you will be able to visualize and present the data in the language that is understood by non-technical persons.
Interestingly, the more you will go deep into the field of data science you will realize that there are five different areas of expertise within the field. Yes, there are and the specializations include-
- Business
- Machine Learning/Big Data
- Maths/operations/research
- Programing
- Statistics
All this is important to become a successful data scientist and if you wish to know more about how important your data scientist job will be then read this –
There are five ways data science will affect businesses and the interesting thing is that organizations are waking up to that fact and hence there has been surge in the demand for data scientists.
- Innovation
- Exploration
- Prototyping
- Refinement
- Firefighting
All said and done do you really know what all data scientist job requires? Well the answer is that they need a strong business sense and the ability to communicate data-driven conclusions to business stakeholders. It is imperative to understand that successful data scientists don’t just address business problems but they will be the one who will pinpoint the problems that are plaguing the organization and will also offer solutions as well for the same.
Apart from all this you need to have data science certifications from the reputed credentialing bodies like Hortonworks, Cloudera, DASCA, Edureka, Dell EMC Data Science Certifications, INFORMS Data Science Certifications. Data Science certifications from any of these reputed institutes will give your career a much-needed boost and will add an edge to your career.
Olivia Wilson
