Big Data And Analytics IT

Do you enjoy mathematics and statistics? Do you appreciate practical business thinking? Do you like coding? If yes, you should explore the career option of data science.

1. About Career

Do you enjoy mathematics and statistics? Do you appreciate practical business thinking? Do you like coding? If yes, you should explore the career option of data science.



Data Science is the combination of statistics, mathematics, programming and business knowledge. Data Science is the study of data, which leads to meaningful insights for an individual or a business. This data can also be in the form of Big Data.



Example of Data Science: Search engines make use of data science algorithms to deliver the best results for search queries in a fraction of seconds.



Example of Big Data: Credit card companies, retail banks use big data for their financial services.


2. Roles and Responsibilities of a Big Data And Analytics IT

    • A good data analyst is the one who turns data into information, information into insight and insight into a business decision.

    • Importing/Collecting, cleaning, converting and analyzing the data for the purpose of finding insights and making conclusions.

    • Create custom data models and algorithms.

    • Presenting data in graphs, charts, tables, etc and designing and developing relational databases for collecting data.

    • Keep a track of trends, patterns and correlation in case of complex data sets.

    • Prepare concise data reports and data visualizations for the management that will help in the decision-making process

    • Work closely with the IT team to achieve the organizational goals.

    • Create data definitions for new database file/table development and/or changes to existing ones as needed for analysis.

    • Understanding the needs of multiple stakeholders

    • Identifying the current and future-state business processes.

    • Helping the business stakeholders envision the future and how their work will need to change to support the future.


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3. Key Skills Required for Big Data And Analytics IT

    • SAS

    • Data Modeling

    • R

    • Big Data Analytics

    • Python

    • Statistical Analysis

    • SQL

    • Data Mining

    • Data Warehouse

    • Microsoft SQL Server

    • Database

    • Data Analysis

    • Data Processing

    • Data Entry

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4. Salary and Demand for Big Data And Analytics IT



  • Demand is High for Data Science.




  • Salary levels are High for Data Science. For fresher average salary is more than 5 Lacs.




  • Fees levels of the course is High. To pursue this course student need to spend more than 5 Lakhs.




  • Level of preparation for Data Science is High. Students spend more than 1 Year. to prepare for entrance test of Data Science.




     


Industry Demand

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