Магистратура
2026/2027
Продуктовая аналитика в образовании (Edtech)
Статус:
Курс по выбору (Обучение и оценивание как наука)
Кто читает:
Департамент образовательных программ
Где читается:
Институт образования
Охват аудитории:
для всех кампусов НИУ ВШЭ
Язык:
английский
Кредиты:
3
Контактные часы:
28
Course Syllabus
Abstract
This course provides a comprehensive introduction to product analytics specifically tailored for the educational technology (EdTech) sector. In the modern digital learning environment, every interaction a student has with a platform generates valuable data. This course teaches students how to collect, visualize, and interpret that data to drive product decisions. Moving beyond basic metrics, students will explore the full analytics toolkit - from building effective dashboards and conducting analysis in Python to designing A/B tests and identifying growth opportunities. The course culminates in a stakeholder presentation, where students must translate complex data into actionable insights for a client. Pre-requisites: knowing basic statistics and any coding language (like R or Python) is preferable but not obligatory
Learning Objectives
- The primary aim of this course is to equip students with the practical skills and strategic mindset required to perform product analytics in an EdTech environment. Students will learn to transform raw user data into meaningful insights that inform product development, enhance the learning experience, and drive business growth.
Expected Learning Outcomes
- Uses the core principles of visualization to create effective graphs and dashboards
- Calculates and interprets key descriptive statistics for product metrics
- Conducts A/B testing, monitors its quality, and interprets the results
- Creates an effective business presentation, translating the results of product analysis into business language
- Evaluates product metrics and experiments through an ethical lens, asking: "Is this good for users, society, and the business?"
- Defines and calculates the key product metrics, relevant to educational products, explains the metrics
Course Contents
- Product metrics
- Visualization of metrics: graphs and dashboards
- Product analysis: its specifics and data preparation
- Product analysis: exploratory analysis, cohort analysis vs. cross-sectional analysis
- Product analysis: identifying growth points in products
- Product analysis: A/B test
- Ethical and pedagogical evaluation. Presentation to the client
Interim Assessment
- 2026/2027 2nd module0.4 * Exam: final project (video-presentation to the client) + 0.2 * Activity + 0.2 * Dashboard + 0.2 * Analysis
Bibliography
Recommended Core Bibliography
- A practitioner's guide to business analytics : using data analysis tools to improve your organization's decision making and strategy, Bartlett, R., 2013
- An introduction to business ethics, Desjardins, J., 2009
- An introduction to categorical data analysis, Agresti, A., 2007
- An introduction to data analysis : qantitative, qualitative and mixed methods, Bergin, T., 2018
- Handbook of data visualization, , 2008
Recommended Additional Bibliography
- Business analytics : data analysis and decision making, Albright, S. C., 2020
- Effective business presentations, Tisdale, J. J., 2005