Data Analytics: Scope and future ahead

Data analytics is one of the most buzzing terminologies. In layman's terms, data analytics takes raw data and turns it into useful or meaningful information. Aspiring for a career in Data Analytics? Read the article below to know about the future of Data Analytics, eligibility, courses, syllabus, job profiles, and payscale.

 

What is Data Analytics, what is its scope in the future, ways to use data analytics, its importance, benefits, etc. types of questions trigger in the mind. Candidates who are aspiring for a career in data analytics and also want answers to the above questions can read the article below to know about the future of data analytics, eligibility, courses, syllabus, job profiles, and payscale.

Data analytics can be defined as a process of examining data sets with the help of various software or specialized systems to draw conclusions from it. Nowadays, data analytics has become one of the most crucial parts of commercial industries. Data analytics enables organizations to take more-informed business decisions based on scientific data and research.

Data analytics helps improve a company’s operational efficiency and customer service, gain a competitive edge and increase revenues tools. It helps the research and development team of an organization in approving or rejecting scientific models, theories, and hypotheses. Data Analytics tools use historical or real-time data to process and draw results.

Data analytics methodologies include exploratory data analysis (EDA) and confirmatory data analysis (CDA). EDA aims to find patterns and relationships in a given data, whereas CDA examines the authenticity of hypotheses about a data set.

There are different forms of data analysis like quantitative data analysis, qualitative data analysis, data mining, predictive analytics, and machine learning.

After completing a data analytics course one can get jobs like data engineer, data scientist, data architect, database administrator and data analyst with a starting salary of INR 4 lakh or more.

Data Analytics: Eligibility Criteria

Other than certification or diploma courses, Data Analytics is also available at the postgraduate level as a stream of specialization in Computer Science and Management.Candidates who are aspiring must earn a bachelor's degree, ideally in statistics or information technology, with at least 60% overall or an equivalent grade point average (CGPA). 
Also, to become a data analyst, candidates must hold a degree in Economics, Statistics, Computer Science or Mathematics. 
Also, candidates who are aspiring should have a minimum of three to four years of professional experience in data mining because data analysts need to have both the necessary knowledge and practical expertise in the field.

Required Skillset for Data Analytics

Strong analytical and numerical skills are must for a good data analytics professional. Other than that, one needs to have a thorough understanding of computer software(s) like Querying Language (SQL, Hive, Pig), scripting Language (Python, Matlab), Statistical Language (R, SAS, SPSS), and Excel. Data analytics professionals must also possess good interpretive and problem-solving skills to explain the process of data analysis and its outcome.

Data Analytics Courses

One can pursue Data Analytics at UG, PG and doctorate levels. Most popular Data Analytics courses are mentioned below:

Data Analytics Syllabus

A data analytics course consists of the following topics:

Data Analytics: Job Profiles

• Data Scientist
• Data Architect
• Data Engineer
• Data Analyst
• Statistician
• Database Administrator

Data Analytics: Top Companies

Data Analysts are the most sought after skilled professionals in the current world, not only in the Information Technology industry but also in Finance, Insurance, Banking, Marketing & Sales, Consumer Goods, Electronics, and Heavy Industries.

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