Professional Certificate in
Education Analytics Course
- 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
2024 Learners
Academic Partners & International Accreditations
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.
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.
Block Your Time
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
Tools Covered
Trends in Education Analytics Course
The Education and Learning Analytics market is estimated to stretch $36.59 Billion by 2029, at a CAGR of 23.8% during the Forecast Period of 2022–2029.
How we prepare you
- Get Quiz Questions and Use Cases
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- Lifetime LMS Access
- 24/7 Support
- Job Placements in Education Analytics Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in Live Projects
- Offline Hiring Events
Call us Today!
Certificate
Earn a Education Analytics Course certificate and demonstrate your commitment to the profession. Use it to distinguish yourself in the job market, get recognised at the workplace and boost your confidence. The Data Science in Education Analytics Course Certificate is your passport to an accelerated career path.
Recommended Programmes
Certificate Course on Data Science
2064 Learners
Big Data using Hadoop & Spark Course Training
3021 Learners
Artificial Intelligence (AI) & Deep Learning Course
2915 Learners
Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
Our Alumni Work At
And more...
FAQs for Education Analytics Training Program
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.
After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.
Jobs in the field of Analytics
The field of educational analytics offers a variety of job opportunities, including positions such as educational data analyst, institutional researcher, assessment specialist, curriculum and instruction specialist, and educational technology specialist. These professionals work in educational institutions at various levels, including K-12 schools, colleges, and universities.
Salaries for Analytics Experts
An educational data analyst can work in various roles such as data analyst, research analyst, assessment analyst, institutional research analyst, etc. and can earn an average salary of 4,85,000 lakhs per annum in India.
Analytics Course Projects
Working on live projects is a great way to gain hands-on experience in educational analytics. Some potential project ideas include analyzing student performance data to improve academic outcomes, developing a predictive model for student retention, or using data analytics to optimize resource allocation and budgeting.
Role of Open Source Tools in Analytics
Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.
Modes of Training for Analytics Course
The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Application of Analytics Course
Analytics is increasingly becoming an important tool for educational institutions to measure performance, analyze student data, and enhance the learning experience. The applications of analytics in education include predicting student performance, identifying at-risk students, improving student engagement, and enhancing instructional strategies. With the help of educational analytics, institutions can optimize their resources, improve retention rates, and provide personalized learning experiences to students.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
Student Voices