Data Analytics and Machine Learning for Improved Student Outcomes Training Course

Data Analytics and Machine Learning for Improved Student Outcomes Training Course

Intermediate | 5 days | Face to Face / Online / Elearning | Certificate
01

Course Overview

Course Summary
Course Title Data Analytics and Machine Learning for Improved Student Outcomes Training Course
Organization Tech For Development (T4D)
Venue Tech For Development (T4D) Training Centre
Duration 5 days
Target Industries
Target Job Roles
Course Fees (Face-to-Face) USD 1,500/KES 99,000 (Exclusive of VAT)
Course Fees (Virtual) USD 1,000/KES 70,000 (Exclusive of VAT)
Training Modes Virtual and face-to-face training
Payment Payment should be made to the Tech For Development (T4D) bank account on or before the start of the course
Accreditation Tech For Development Certificate of Course Completion

Course Overview:
This 5-day training course explores the use of educational data analytics and machine learning to improve student outcomes. Participants will learn how to analyze educational data, implement machine learning algorithms, and apply insights to enhance teaching, learning, and student success.

Course Duration:
5 days

Target Audience:

  • Educators and school administrators
  • Educational data analysts
  • Policy makers and consultants
  • EdTech specialists

Personal Impact:

  • Gain skills to analyze educational data for insights into student performance.
  • Learn to implement machine learning techniques to predict student outcomes.
  • Enhance your ability to make data-driven decisions in education.
  • Develop strategies for improving student success based on data analysis.

Organizational Impact:

  • Improve the organization’s capacity to analyze and act on educational data.
  • Increase student success rates through data-driven interventions.
  • Support more personalized and effective teaching methods using machine learning.
  • Foster a culture of continuous improvement based on data insights.

Course Objectives:

  • To provide an understanding of data analytics in education.
  • To teach participants how to apply machine learning to educational data.
  • To develop techniques for using data to improve student outcomes.
  • To explore future trends in data-driven education.
02

Course Modules

Course Outline:

Module 1: Introduction to Educational Data Analytics

  • Overview of data analytics in education
  • Importance of data-driven decision-making in schools
  • Case Study: Using data analytics to improve student performance

Module 2: Tools for Educational Data Analysis

  • Exploring tools and platforms for analyzing educational data
  • Techniques for collecting and cleaning educational datasets
  • Real-Life Project: Analyzing student performance data with a selected tool

Module 3: Machine Learning in Education

  • Introduction to machine learning algorithms for education
  • Predicting student outcomes using machine learning models
  • Case Study: Using predictive analytics to identify at-risk students

Module 4: Applying Data Insights for Student Success

  • Using data insights to inform teaching strategies

and interventions

  • Techniques for tracking and measuring student progress
  • Real-Life Project: Developing a data-driven intervention plan for student success

Module 5: Future Trends in Educational Data Analytics and Machine Learning

  • Exploring emerging trends in educational data and machine learning
  • Addressing ethical considerations in data use in education
  • Case Study: The future of data-driven decision-making in schools
03

Course Administration

Methodology

Instructor-led sessions use a blended learning approach combining presentations, guided practical exercises, web-based tutorials, and group work, delivered by seasoned industry experts. All facilitation and course materials are in English, so participants should be reasonably proficient in the language.

Accreditation

Upon successful completion of this training, participants will be issued a Tech For Development Certificate of Course Completion

Training Venue

The training will be held at the Tech For Development Training Centre. The course fee covers the course tuition, training materials, two break refreshments, and lunch. All participants will additionally cater to their travel expenses, visa application, insurance, and other personal expenses.

Accommodation & Airport Transfer

Arranged upon request.For reservations contact the Training Officer:
Email: [email protected]
Phone: (+254) 790 824 179

Tailor-Made

This training can also be customized to suit the needs of your institution upon request. You can have it delivered in our T4D Training Centre or at a convenient location.

Payment

Payment should be transferred to the T4D account through a bank on or before the start of the course. Send proof of payment to [email protected].

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2026 Schedules
Nairobi
14 Dec - 18 Dec
KES 99,000 |
$1,500
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Kigali
Addis Ababa
Kuala Lumpur
Accra
Pretoria
Cape Town
Johannesberg
Cairo
Arusha
Machakos
Zanzibar
Kisumu
Nakuru
Mombasa
Nairobi
Naivasha
Kampala
Dubai