Free online course

Product Analytics

Basics

About this course

Welcome to the product analytics course created by devtodev experts, who were happy to share their experience in data analysis! This course combines theoretical knowledge about features and methods of working with data, basic metrics and criteria for choosing analytics tools, as well as practical advice and case studies.

This is a comprehensive course consisting of four parts. The first part covers all the introductory aspects related to the career of an analyst and setting up an analytics system.

All lectures are absolutely free and you can watch them at any time. Make sure you pay attention to the additional resources that accompany each lecture. At the end of each module you will find a final test that will check your knowledge. Let's get started!

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Authors and lecturers

Fantastic speakers who shared their experience

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Elena Khalilova

Business Development Director, devtodev

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Julia Iljuk

Growth Team Lead, devtodev

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Alla Tytarenko

Digital Growth Manager, devtodev

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Melanya Lazarenkova

Product Specialist, devtodev

Who is the audience of the course

Beginners. During this course, you will gain the basic knowledge necessary for a novice specialist, learn how to start a career as a product analyst, and how you can be useful to the team. You can also define a vector to improve your skills.

Mid-level analysts. You will fill in the gaps in the knowledge of product analytics, get useful insights and learn how to effectively use the opportunities of analytics systems to formulate hypotheses.

Anyone interested in data analysis. You will learn how to choose an analytics system to handle all the necessary tasks, and what metrics you need to track to evaluate the success of product changes.

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Course format

24/7 ACCESS

FINAL TEST

FREE STUDY SCHEDULE

ADDITIONAL MATERIALS

4 parts & 40+ lectures

E-CERTIFICATE

Course program

Part 1
Product Analytics: Basics
Lecture 1
Course overview
Lecture 2
What is data analytics, why it’s so important, and what problems it solves
Lecture 3
Analyst as a profession. Who an analyst is, types of analysts
Lecture 4
Data Analyst responsibilities, soft and hard skills
Lecture 5
The mathematical background of data analytics: populations and samples
Lecture 6
The mathematical background of data analytics: core indicators
Lecture 7
Metrics overview
Lecture 8
The operation of analytics systems
Lecture 9
Analytics systems
Lecture 10
Criteria for selecting analytics systems
Lecture 11
Events and their parameters
Lecture 12
Map of events
Lecture 13
Tracking testing

Read full program

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You will learn how to

  • Understand key product metrics and what they affect
  • Find bottlenecks and product growth points
  • Set up an analytics platform and form the event structure
  • Improve user experience and keep users in the app
  • Track product changes and formulate hypotheses
  • Use revenue forecasting methods for revenue planning

Courses Catalogue