Data Scientist | An in-demand occupation
A Data Scientist is someone who makes information or valuable insights out of data. To understand what a data scientist is, what they do and more about them lets begin with understanding; what data science is all about.
What is Data Science :
Data science is an interdisciplinary field about scientific methods, processes, and systems to extracts knowledge or insights from data. It is also refer as data-driven science. This data is in various forms, such as raw data, big data, dynamic data — collectively referred to as big data. In more scientific words, data is either structured or unstructured. Data Science is rapidly driving business growth and success. Thus, it dramatically increasing the demand for Data Scientists. Harvard Business Review named Data Scientist “The Sexiest Job of the 21st Century”. According to Glassdoor, in 2016 Data Scientist was the best job in America.
What is a Data Scientist :
A Data Scientist collect and extract data from various sources and analyze this data. They derives insights for better understanding about organization’s objectives, and the ability to translate the analytics results into a format used by the organization.
The data scientist role is an enhancement of the statistician role that includes the use of advanced analytics technologies, including machine learning and predictive modeling, to provide insights beyond statistical analysis. Thus, a data scientist collectively performs the duties of data miner,data analyst, innovator and visualizer.
Education and skills required to become a data scientist :
- The education requirements for data scientists typically include a bachelor’s degree in statistics, data science, computer science or mathematics.
- Hard skills required for the job include data mining, knowledge of machine learning models and the ability to integrate structured and unstructured data. Experience with statistical research techniques, such as predictive modelling and clustering, is also often necessary.
- Data science requires knowledge of a number of big data platforms and tools, such as Hadoop-MapReduce and Spark. Knowledge of programming languages that include structured query language (SQL), Python, Scala and as well as statistical computing languages such as R is also required. Proficiency in some visualization tools is also necessary.
- Soft skills are crucial to the success of data scientists. These skills include iterative problem-solving, collaboration, communication, and interviewing skills.
Data Science Learning Academy (DSLA) is a premier institute. DSLA provides in depth training for individuals in the field of Data Science. DSLA offer many courses which are essential to become a data scientist. All the courses includes bootcamps for the practical knowledge of all the languages. Thus, join the academy and improve your skills to get the most in-demand occupation of the century.