Data Science

Data science is the process of extracting meaningful insights from data using statistics, mathematics, programming, and business knowledge. Data can be in the form of big data, which is a large and complex dataset. Search engines use data science algorithms to deliver the best results for search queries in a fraction of seconds. Credit card companies and retail banks use big data for their financial services.

Here are some other examples of data science:

• Retail stores use data science to track customer behavior and recommend products.

• Airlines use data science to predict demand and optimize flight schedules.

• Healthcare providers use data science to identify patients at risk for certain diseases and develop personalized treatment plans.

• Governments use data science to track crime rates and improve public safety.

Data science is a rapidly growing field with a wide range of applications. It is a valuable tool for businesses, governments, and individuals who want to make better decisions based on data

• A good data analyst transforms data into actionable insights.

• They import, clean, convert, and analyze data.

• They create custom data models and algorithms.

• They present data in graphs, charts, and tables.

• They design and develop relational databases.

• They track trends, patterns, and correlations.

• They prepare concise data reports and data visualizations.

• They work closely with the IT team.

• They create data definitions for new database file/table development and/or changes to existing ones.

• They understand the needs of multiple stakeholders.

• They identify the current- and future-state business processes.

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

• After 12th Science with Computer Science, students can pursue B.Tech/B.Sc/BCA in Computer Science, followed by a certificate in Bigdata/SAS/R/Tableau.

• After 12th Mathematics, students can pursue B.Sc -Statistics/Mathematics (Hons.), followed by M.Sc Statistics, and then a certificate in SAS/R/Tableau.

• After 12th in any stream, students can pursue graduation in any stream, followed by MBA, and then a certificate in SAS/R/VB/Excel.

• Graduate Aptitude Test in Engineering (GATE) 2023

  • Odisha Joint Entrance Examination (OJEE) 2023

  • Telangana State Post Graduate Engineering Common Entrance Test (TS PGECET) 2023

  • Uttar Pradesh State Entrance Exam (UPSEE) 2023

  • Tamil Nadu Common Entrance Test (TANCET) 2023

  • Andhra Pradesh Post Graduate Engineering Common Entrance Test (AP PGECET) 2023

  • Guru Gobind Singh Indraprastha University Common Entrance Test (IPU CET) 2023

  • Punjab University Combined Entrance Test (PU CET) 2023

  • University of Petroleum and Energy Studies Design Aptitude Test (UPES DAT) 2023

  • Himachal Pradesh Common Entrance Test (HPCET) 2023

SQL

Data Mining

Data Warehouse

Microsoft SQL Server

Database

Data Analysis

Data Processing

Data EntrySAS

Data Modeling

• Big data analyst: A professional who collects, analyzes, and interprets large amounts of data.

• Budget analyst: A professional who develops and analyzes budgets for businesses, governments, and other organizations.

• Business analyst: A professional who analyzes business processes and systems to identify and recommend improvements.

• Data analyst: A professional who collects, analyzes, and interprets data to help businesses make better decisions.

• Developer: A professional who creates and maintains software applications.

• Management analyst: A professional who analyzes and improves business operations.

• Marketing research executive: A professional who conducts and analyzes market research to help businesses develop and market their products and services.

• Operations research analysts: Professionals who use mathematical and statistical methods to solve complex problems in business and government.

• Project manager: A professional who plans, organizes, and manages projects from start to finish.

• Sustainability specialist: A professional who helps businesses and organizations reduce their environmental impact.

• Data science is a high-demand field with high salary levels. Freshers can expect to earn an average salary of more than 5 lakhs per year.

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The following are some of the top universities in India for graduation:

• Indian Institute of Technology (IIT) - Hyderabad

• Indraprastha Institute of Information Technology

• International Institute of Information Technology (IIIT)-Naya Raipur

• Great Lakes International University

• GH Raisoni College

• Sharda University

• Jain University

• Amrita Vishwa Vidyapeetham

• SAGE University

• Amity University

The following are some of the top universities in India for post-graduation:

• Indian Institute of Technology (IIT) - Kharagpur

• Indian Institute of Science (IISc) - Bangalore

• National Institute of Technology (NITK) Karnataka, Surathkal

• International Institute of Information Technology (IIIT-B), Bangalore

• P.S.G College of Technology (PSGCT), Coimbatore

• Indraprastha Institute of Information Technology (IIITD), New Delhi

• National Institute of Technology (NIT), New Delhi

• Indian Institute of Technology (IIT), Hyderabad

• Veer Surendra Sai University of Technology (VSSUT), Burla

• PES University (PESU), Bangalore