A CAREER IN DATA SCIENCE: NOT EVERYBODY’S CUP OF TEA
A lot of buzz has been created around the word ‘Data Science ‘and its growing importance in the corporate world. The volume of data streaming into the organizations’ warehouses in petabytes (one million GB per PB) and exabytes (one thousand PB per EB) is only going to grow and at a tremendous rate.
Data science is not a fad which will just fade away over time and lose its importance. However, it is going to increase in complexity and will gain much more importance in the near future. Data Science is not an easy course; it is tough and challenging. You might be tempted to give up halfway through the course thinking that you cannot do it but the continuous motivation and excellent teaching by professionals will boost your morale and allow you to achieve it for sure. Before taking a data science course, it is important for you to learn what data scientists do and what skills are required to pursue this course.
WHO ARE DATA SCIENTISTS?
Data scientists are regarded as the data specialists who have the technical expertise and skills to deal with the complex problems associated with these large datasets and have the inquisitiveness to solve the problems. They are referred to as data wranglers who, with the combination of statistics, mathematics and technology, try to organize and interpret the data streaming in the organizations’ data warehouses. Their analytical powers help them to unearth solutions to business challenges which are hidden in the mass of data.
WHO CAN PURSUE A CAREER IN DATA?
Everyone should know before pursuing a career in data that it is not everybody’s forte’. A data scientist needs to love coding and dealing with enormous datasets and patterns. Just make sure that the datasets and patterns fascinate you, not intimidate you.
Dealing with numbers should fire you up rather than numb you down.
WHAT NECESSARY SKILLS ARE REQUIRED TO PURSUE A CAREER IN DATA?
From the industry point of view, a data scientist is required to be an expert in the following skills:
a) How to extract and clean data using programming languages like R, Python
b) How to analyze data using statistical techniques and methodologies
c) How to present the analyzed data using tools like tableau
d) Knowledge of analytical tools like Hadoop, SAS etc.
Succeeding in a job as a data scientist is very simple if you possess the right set of skills and follow the right approach. With the right training, no one can stop you from getting a job as a data scientist which, besides being challenging, is highly lucrative.
Learning the ropes of big data and data science will advance your career and have a positive influence on your life, both personally and professionally. The need for data science professionals will not fade in the coming years. In fact, it is expected to show an upward trend in the future. The benefits of such a science clearly explain the magic of the data science profession.