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Applying Big Data in education offers a multitude of benefits.

One of the real benefits of data science in education is that it offers an optimal and personalized learning experience that is tailored to the individual needs of each student.
In education, the practice of using data and learning analytics to drive decision making is rapidly being adopted. Despite being a practice that is still in development, administrators and teachers around the world are increasingly looking for information to help them make better decisions and meet goals.
Although personalized learning is one of the most exciting benefits of data-driven technologies and learning analytics, institutions must understand the differences between personalized learning and prescriptive learning, and ensure that both faculty and students explore a wide range of skills.

HData would assist you with the collection and analysis of essential data in the education sector

eLearning Industry is a platform that enables computer-aided learning and knowledge sharing. It describes decision-making in the education system that is based on data as follows: "A systematic collection, analysis, investigation and interpretation of data in order to provide methods and strategies in educational institutions with information ".
In other words, education data is collected and analyzed to improve education in schools. Large amounts of educational data are collected every day, especially in the university system, from various data sources in a wide variety of formats. The different types of education data are noisy eLearning Industry:
Student related data such as demographics and past academic achievements.
Data on the teaching staff, such as skills and professional experience.
Data generated during class, study, and assessment. This data can be collected both in the physical classroom and through the collection of curricula, assessment methods and classroom management.
Staff, infrastructure, financial plans, educational and non-educational staff, hardware and software, and expenses.

Important education data that can be collected via data science

• Registration metadata: data is automatically collected on the website. This includes information such as: visitors, interactions, IP address of the visitors, cookies and browser settings, which can help to identify causes of technical problems. 
• Application statistics: Automatic collection of information about interactions with the functions of the website in order to identify useful functions.
• Assessment data: It consists of test results and observations to check the students' learning progress.
• Attendance: data on attendance at school and in courses; Suspensions and expulsions from school can be used to test for truants.
• Demography: Personal data of the students such as date of birth, gender, ethnicity, language, socio-economic position, impairments, special school support, etc. These data are used to understand the needs of a diverse group of pupils and to develop personal teaching units.
• Enrollment Information: Grade Levels, Classroom Engagement, Mentor, Courses Chosen, and Graduation Year.
• Information about the students: student name, ID number and contact information.

Using the collected data efficiently

Because there is so much data available, you end up using only a fraction of the collected learning data. This data includes a wide variety of information, such as engagement data, time spent on task, performance in activities and achievements. And everything should be analyzed in the context of the student and considering their specific circumstances and needs.
Any special assistance situation, disability, cultural differences and other influencing factors should always be considered.
Data on their own are not very valuable and can be easily misinterpreted. When we consider the context, apply objectives and strategies, and evaluate those elements, the data becomes valuable information and knowledge that allows us to take actions to achieve results.

Our top predictive analytics tools at HData Systems

  • Tableau
  • SAS Advanced Analytics
  • SAP
  • Rapid Miner
  • R
  • Python
  • MathWorks
  • Information Builders
  • DataRobot
  • Databricks
  • Dash
  • Board
  • Amazon Web Services
  • Alteryx

Our Services

Data Science

Data Science is a structured and unstructured model to extract insight from data in different forms and add value to the businesses.

Data Warehousing

Data warehouse system is a powerful, scalable, and affordable—enabling organizations to share petabytes of data across thousands of users.

Data Analytics

Data Analytics is the process to analyze data sets in order to draw conclusions about the information with specific systems & software.

Data Visualisation

Data visualizations perform the best role in addressing this challenge and help with interacting science outputs to a wide variety of audiences.

Data Migration

Data Migration is the process of transferring data from one storage system to another to save necessary and relevant data.

Big Data Implementation

Big Data implementation helps you to make decisions on the basis of insightful data and forecast business future.

Predictive Analytics

Advance Analytics is a tool that help you to extract more data and forecast trends, behaviours, events, and more to perform better.

IoT Analytics

IoT Analytics is an application of data analysis tools and adds value to the data to facilities by connecting with the Internet of Things.

Customer 360

Customer 360 provides data with a 360 degree view and enables you to interact and support every detail about the customer.


DevOps is a set of practices that merge IT operations and software development to deliver high quality software and improved software life cycle.

Microsoft Power BI

Microsoft Power BI is a business analytics service that provides interactive visualizations & business intelligence to create dashboards & reports .

Qlik Sense & QlikView

Qlik Sense & QlikView is an analytics solution and platform to integrate data, analysis and data-driven intelligence that deliver business growth.


Industries We Are Transforming

The transformation of industries by Big Data Analytics, Artificial Intelligence, and Data Science

banking and finance

Banking and Financials

Power your Data Analytics and prevent fraudulent activity and ensure data security while integrated with third-party



Align insurance with faster decision-making, enhance legacy system, empower customer relations, and integrated third-party services



Transform your business by boosting productivity, refine adaptability with data

transportation logistics

Transportation and Logistics

Get the real-time insight and data, track the precision location, and operate while monitoring with efficiency


Enhance medical facilities, seamless practice process, track and get the insight of the data, reduce expense, and reform quality of care.



With research data, create a market growth strategy, optimize product sales and inventory, and predict the future demand.

media and entertain

Media and Entertainment

Deliver high-quality content with seamless integrated services and accomplish analytics success



Give a new platform and approach to learning, personalized learning experience with remarkable technology



We provide a research database which helps in Mapping metadata, ensuring high quality of data analytics and reports.

travel and hospitality

Travel and Hospitality

Boost your sales service, enhance customer segmentation with analysis and predict future price strategies

oil gas

Oil and Gas

Improve your automate workflows and monitoring process, high analytical and report facilities while ensuring data safety

real estate ecommerce

Real Estate and E-commerce

Leverage deep insight Industry knowledge, powerful refinements, and deliver real-time dynamic experience



Provide new innovative workflows, enhance data-driven network services, help to obtain new customers, and expand market reach strategically.


Food and Beverages

Keep the track on quality, enhance services, bring out more innovation, and boost the product sales.



Discover new energy, cost-effective and prevent power outage, increase the production and sales with data

Tools & Technology

Data Science Tools & Technologies

  • google-ai
  • amazon-mc
  • apache-spark
  • azure-mc
  • hadoop
  • java
  • jupyter
  • kiabana
  • parquet
  • python
  • qlik
  • r-language
  • r-studio
  • scala
  • spark-mlib
  • tableau
  • tensorflow
Case Studies

Introduce Our Projects

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Hyperlink InfoSystem is one of the leading software development companies based in India and has offices in USA, UK, UAE, France, and Canada. With 10+ years of experience in the industry, Hyperlink InfoSystem served more than 2,300 clients worldwide. The company has a team of 450+ highly skilled developers who works on any custom solutions using the latest technologies.

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