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Studies
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HTE411BKK

Product Analytics Fundamentals

Bangkok Campus
Apr 16, 2024 - May 03, 2024
This is a comprehensive course that covers the essential elements of analytics, including applied statistics, programming skills, AB-testing, visualization, and understanding data.
Bangkok Campus
Apr 16, 2024 - May 03, 2024
Kseniia Baidina

Faculty

Kseniia Baidina

Analytics Team Lead at Yango

Course length

3 weeks

Duration

3 hours
per day

Total hours

42 hours

Credits

4 ECTS

Language

English

Course type

Offline

Fee for single course

€1500

Fee for degree students

€750

Skills you’ll learn

PythonSQLData VisualisationProduct MetricsAnalyze Behavior
OverviewCourse outlineCourse materialsPrerequisitesMethod & grading

Overview

Product Analytics Fundamentals is a comprehensive course that covers the essential elements of analytics, including applied statistics, programming skills, AB-testing, visualization, and understanding data. This course is designed to provide students with a solid foundation in analytics so they can make data-driven decisions.

Students will learn how to collect and analyze data using statistical methods, how to extract insights from data, how to conduct AB-testing to optimize product performance, and how to visualize data to communicate insights effectively.

Learning highlights

  • Identify key metrics for products.
  • Use data to gain a deeper understanding of the product.
  • Conduct experiments to validate product changes.
  • Gain practical experience with analytics tools.

Course outline

15 classes

Dive into the details of the course and get a sense of what each class will cover.
Monday
Tuesday
Wednesday
Thursday
Friday
Monday
1

Holidays

Holidays

Tuesday
2

Introduction

Learn the importance of analytics in product management and how to define key metrics for different types of products. Gain practical insights into how to measure and track product performance.

Wednesday
3

Visualization

Gain practical experience in defining and visualizing key metrics using Tableau. Learn how to effectively track and understand product data.

Thursday
4

Visualization

Сontinue with advanced visualization techniques. Complete a group homework assignment.

Friday
5

SQL

Acquire essential SQL skills to effectively extract and manipulate product data. Learn how to use SQL to aggregate data and calculate metrics.

Monday
6

SQL

Deepen your understanding of SQL by mastering advanced techniques and have more SQL practice. Learn to pre-aggregate data to visualize it in Tableau.

Tuesday
7

Statistics I

Discover which descriptive statistics can be used to analyze and interpret product data. Get introduced to Python programming language and its applications in data analysis.

Wednesday
8

Statistics II

Develop an understanding of statistical significance, hypothesis testing, correlation, and causation. Learn how to work with these concepts in Python. Complete an individual homework assignment.

Thursday
9

Statistics III

Explore statistical tests to compare two sets of observations (T-test, U-test, and Z-test). Gain practical experience using Python.

Friday
10

Mid-term Project

Apply your newly acquired skills to a mid-term project. In groups, try insights in data, perform statistical analysis, and present your findings to the class.

Monday
11

A/B-testing

Learn how A/B testing works, how to design and launch effective experiments, and how to analyze and interpret the results.

Tuesday
12

Customer Segmentation

Learn RFM analysis, a powerful customer segmentation technique. Use Python to segment customers by recency, frequency, and monetary value.

Wednesday
13

Customer Segmentation

Learn how to use K-means clustering to group similar customers based on their attributes. Use Python to perform cluster analysis.

Thursday
14

Сohort Analysis

Learn how to use cohort analysis to track the behavior of specific groups of customers over time. Use Python to gain insights into customer retention, lifetime value, and product usage. Complete a group homework assignment.

Friday
15

Summary and Product Cases

Review key learnings and discuss cases to consolidate your understanding of product analytics.

Prerequisites

Having these skills would be advantageous, but not mandatory:

Statistics (basic understanding)

Python (basic understanding)

Methodology

Lectures, projects, presentations, individual and group work.

Grading

The final grade will be composed of the following criteria:
25% - Work in class
25% - Homework assignments
20% - Mid-term project
30% - Final project
Kseniia Baidina

Faculty

Kseniia Baidina

Analytics Team Lead at Yango

Kseniia is an analytics team lead at Yango, one of the largest ride-hail companies in the world.

Prior to joining Yango, Kseniia conducted academic research on advertising effectiveness. She holds a Master's degree from the University of Cologne, where she studied marketing and product management with a deep focus in data analysis and statistics.

See full profile

Apply for this course

Snap up your chance to enroll before all spaces fill up.

Product Analytics Fundamentals

by Kseniia Baidina

Total hours

42 Hours

Dates

Apr 16 - May 03, 2024

Fee for single course

€1500

Fee for degree students

€750

How to secure your spot

Complete the form below to kickstart your application

Schedule your Harbour.Space interview

If successful, get ready to join us on campus

FAQ

Will I receive a certificate after completion?

Yes. Upon completion of the course, you will receive a certificate signed by the director of the program your course belonged to.

Do I need a visa?

This depends on your case. Please check with the Spanish or Thai consulate in your country of residence about visa requirements. We will do our part to provide you with the necessary documents, such as the Certificate of Enrollment.

Can I get a discount?

Yes. The easiest way to enroll in a course at a discounted price is to register for multiple courses. Registering for multiple courses will reduce the cost per individual course. Please ask the Admissions Office for more information about the other kinds of discounts we offer and what you can do to receive one.