A data scientist is officially the ‘sexiest’ job title in the world, raking both popularity and salary figures unlike any other job. A data scientist, by definition, is a specialist professional who is responsible for interpreting and analyzing a large volume of data from various sources, delivering meaningful insights into business to gain competitive advantage over competitors.
Popularity and salary apart, data scientists is a hard-earned business title that comes with its own set of challenges and perils. In addition to the specialist education and supplementary experience in IT and Computer Science, here are unassailable must-have skills for professionals eyeing a job with data scientist course in Delhi.
Data mining skills is the process of establishing relevant relationships between various data sets to build Sequential algorithms/ Path rules for data clustering, forecasting and data base classification.
In order to become a good data practitioner, you have to polish your data mining skills. Looking at the trends in the leading data science markets in the US, Western Europe, China and India, a data mining background entails experience in these coding and programming languages –
- R Programming
Analytics and Business Intelligence
An extension of data miner profile, a data analyst eventually grows into a data scientist. Data analysis is the process of deciphering hidden and predictable information that data hold.
Data analysts are primarily concerned with creating Business Intelligence and Online Analytical Processing (OLAP) software for commercial purposes, including for Marketing and Sales. In advanced data science companies, data analytics and business intelligence are classified as dedicated skills for a data scientist with 2-3 years of experience.
Information Access with Enterprise Content Integration
At an enterprise level, data scientists are required to exhibit control on information access and content integration solutions. Data scientist course in Delhi train ambitious data science professionals to manage massive silos of structured and unstructured information. These silos, often left unmanaged by companies that don’t have an analyst or scientist, become the single-most reason for poor agility and drop in performance.
Data Governance and Privacy regulations
Depending on the law of the land you work in, a data scientist could be dealing with one or more data governance frameworks. The obvious data deluge and fatigue in analytics have put intense pressure on the way Big Data is used and misused at enterprises. In the ‘Wild West’ of data management, data scientists with certified data governance skills are seen as the guardians and evangelists every organization could hire in the 21st century.As IT becomes decentralized with incoming automation and AI, these skills empower data science teams to rationalize every step of data management value chain.