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Professional Certificate in

Education Analytics Course

With our Education Analytics course, you will emerge as a professional ready to grab innumerable opportunities in the current Industry that is focusing heavily to leverage on Data.
  • Get Trained by Trainers from ISB, IIT & IIM
  • 16 Hours of Intensive Online Sessions
  • 20 Hours of Free Python Programming Videos
  • Get Quiz Questions and Use Cases
Education Analytics course - 360digitmg
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Academic Partners & International Accreditations
  • Education Analytics Course with Microsoft
  • Education Analytics Course certification with NASSCOM certificate
  • Education Analytics Course with INNODATATICS certificate
  • Education Analytics Course with TUV
  • Education Analytics Course with SUNY
  • Education Analytics Course with NEF

Education has always been paramount in both developing and developed countries and every year nations come up with different pilot strategies to improve education quality. With the advent of Data Analytics into the education system, it has become possible for Education Analysts to understand, plan and implement goal-oriented strategies for better educational practices. Predictive Analytics is by far the best thing that has happened to the education domain and is expected to make great changes in the coming future.

Education Analytics

Program Cost

INR 12,000/-

Overview of Education Analytics Course

The methodologies and processes supporting data analytics in the educational sector have been leading to systems such as Learning Analytics (LA), Academic Analytics (AA), and Educational Data Mining (EDM), where the outcome of any of these systems could become the input of another educational system.

Education Analytics Course Training Learning Outcomes

Education Analytics is a special branch of Data Analytics that involves using student-related data with analytical tools to improve students' performance.
The Certification Program in Education Analytics is a sui generis attempt to blend analytics solutions for better teaching practices and the development of new strategies for efficient academic results. Specifically designed to suit the education professionals and data professionals who wish to understand the application of Big Data Analytics, Machine Learning, Neural Networks, and Deep Learning to Education industry data. Our Education Analytics course is meant for professionals from the Education domain as it provides a comprehensive picture of how Data Science and Artificial Intelligence can be leveraged to increase the efficiency of teaching practices and strategies. Understanding the applications of Data Science, Machine Learning to insurance will be the prime objective of this content-rich program.

Work with various information sources
Analyse structured and unstructured data using different tools and techniques
Develop an understanding of descriptive and predictive analytics
Apply data-driven, machine learning approaches for HR functions such as attrition prediction
Understanding how surveys work and perform analytics on them
Use ML techniques to create a personalized experience for employees
Use data visualisation concepts to represent data for easy understanding
Block Your Time
hr analytics course - 360digitmg

16 hours

Classroom Sessions

hr analytics course - 360digitmg

20 hours

Python
Programming Videos

Who Should Sign Up?
  • Teachers and Educators
  • School Administrators
  • Data Analysts
  • Educational Researchers
  • Curriculum Developers

Education Analytics Course Modules

The digital world is built on the walls of data and Education Analytics course is peering into the future. Put simply, Education Analytics is bringing in all the data and combining it to provide strategic as well as predictive insights that can be used to improve one’s business strategy. In this module on Education Analytics course, you will learn about the various systems and models of Education Analytics course and how Machine Learning is helping to predict employee turnover. You will learn about the various techniques used during the screening and recruiting of candidates. This module also throws light on how the employee performance can be predicted through analysis and designing appropriate surveys. You will also learn how Deep Learning is mining the emotional state of the workforce. Along with the various advanced Education Analytics techniques, you will also learn regarding Data Privacy and Security.

  • Education Data
  • Methodologies and Processes Supporting Education Data Analytics
  • Applications of Data Analytics in Education Industry
  • Education Data Analytics Market Analysis
  • Stages of Education Data Analytics
  • Data Mining in Education Data Analytics
  • EDA in Education Data Analytics
  • Data Preprocessing in Education Data Analytics
  • K-means Clustering in Education Data Analytics
  • Use case: Market Segment Analysis of Ed-Tech Sector using K-means Clustering Algorithm
  • K-Nearest Neighbours in Education Data Analytics
  • Use case: Private and Public Universities Classification using KNN Algorithm
  • Decision Tree Model in Education Data Analytics
  • Use case: Student Classification Based on their Academic Performance using Decision Tree Algorithm
  • Regression Model in Education Data Analytics
  • Use case: Impacts of Covid-19 on Digital Learning using Multi Linear Regression
  • Multi-Layer Perceptron Model in Oil and Gas Analytics
  • Use case: Prediction of Students Placement on Campus Recruitment Data using ANN

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How we prepare you
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    Hands-on Experience in Live Projects
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