• €399 or 2 monthly payments of €200

Fundamentals of Product Analytics

This course serves as the ideal introduction for professionals with limited experience in analytics within product development. It will provide you with a solid foundation in product analytics, teach you to manipulate and visualize data effectively, introduce you to essential Product KPIs, and equip you to communicate your findings coherently.

Objectives

The main goal of the "Fundamentals of Product Analytics" course is to provide you with the essential skills and analytical tools necessary to understand and effectively apply the basic principles of product analytics. 

The course aims to:

  1. Promote an initial analytical mindset in you, equipping you with the competencies to approach simple problems in an organized and methodical way.

  2. Basic understanding of key product metrics

  3. Identify relevant data and perform basic but meaningful analyses

  4. Make informed decisions that improve both user experience and overall product performance

The goal is that, by the end of this introductory course, you will have a basic understanding of key product metrics, be aware of the limitations and challenges in data collection and analysis, and be equipped to act on the acquired knowledge to start improving your products and achieving initial goals.

As you progress, each lesson will provide you with a solid foundation in critical topics and practical skills that are fundamental to the field of product analytics.

Let me give you a tour of the course so you can get a feel for the content, the exercises, and the types of analysis you will perform and learn.

Testimonials

from former participants

"In my company, the Product Manager is the one who processes the data. The course is helping me not only to improve in that area but also to ask the right questions during the Discovery phase of new projects"

"It’s helping me to formulate the right questions to extract information, with a format that allows me to learn both how to structure a case to gain product insights and to improve my use of formulas in Google Spreadsheets"

"The course has met my main expectations: learning how to approach a product, understand how to set metrics, and work with data. It was very helpful in continuing to improve my job interviews"

"The curriculum is perfect for someone starting out in analytics like me. The practical videos from the beginning have been very helpful, as I learn better by experimenting and adjusting until I master the analysis and apply it in my daily work"

"I’ve shifted from developing based on client requests to focusing my decisions on specific metrics and objectives. The course has met my expectations by teaching me how to apply analysis as a product owner, especially in identifying funnels and key metrics"

"I love the content and the examples; they are super useful for me, and I totally relate to many of the exercises. I'm applying what I learn to my own product and marketing topics, which makes the course even more enriching for me"

Clara Torrijos

Founder at GoKoan

WHO IS THIS COURSE FOR?

The course is suitable for:

  • Product Managers, Designers, and Engineers with little or no experience in analytics.

  • Startup Founders and Entrepreneurs who want to incorporate data-driven decision-making.

  • Students interested in roles requiring an understanding of Product Analytics.

  • Marketing Professionals seeking to better understand KPIs and product metrics.

If you already have experience in data analysis and are looking to deepen your knowledge, the Advanced Course in Product Analytics might be the ideal next step for you. Unlike the Fundamentals course, which focuses on establishing a solid base and covers the basic aspects of product analytics, the advanced course takes you further: you will tackle more sophisticated analysis techniques, learn to use more complex analytical tools, and dive into detailed case studies.

If you are unsure which course is right for you, feel free to contact me. I am here to help you choose the learning path that best suits your needs and goals.

PARTICIPATING COMPANIES

Professionals from the following companies, among many others, have taken the course.

METHODOLOGY

This course is self-paced. It follows a flipped classroom methodology, where students are expected to lead their own learning. By combining self-paced learning, practical exercises and personalized support, this Fundamentals course offers a complete and flexible learning experience, designed to make you competent in the basics of product analytics.

You will need around 40 hours to consume all the content and perform the analytical exercises.

  • Learn at Your Own Pace: We understand that everyone has a different learning pace. Therefore, all course content is available for you to access and complete at your convenience. You can easily adapt this course to your schedule and availability.

  • Practical Exercises with Solutions: The course is packed with practical exercises. These exercises become more comprehensive as the course progresses. A unique feature of Escuela Escribano is that each exercise is accompanied by a solution solved by the teachers, guiding you through each step of the problem-solving process. This way, you can compare your approach and receive immediate and applicable feedback.

  • Unlimited Questions and Answers: You can ask your questions through the learning platform or via email. For more complex doubts, we can even arrange a quick call to provide the answers you need.

SYLLABUS

All written content and videos are in English. You can also do the course in Spanish.

Each module contains an explanation of the topic with best practices, videos with our recommendations, and solved analytical exercises of various levels. The exercises become more comprehensive as the modules progress. The aim is for you to be independent in formulating, analyzing, and presenting conclusions by the time you complete the course. You will need at least 40 hours to consume all the content and perform the analytical exercises. 

  1. Introduction to Analytics: Demystify analytics and learn the differences between categorical, numerical, and ordinal data

  2. Using Product Analytics across Stages: Discovery, Prioritization, Research, Shaping, Design, Launch, Iteration, and Retirement

  3. Basic Spreadsheets Knowledge: Master formulas, data transformations, and pivot tables in Google Sheets.

  4. Interpreting Data: Get hands-on with totals, means, medians, ratios, and percentages.

  5. Customer Segmentation: Understand the basics of segmenting customers by demographics and behavior.

  6. Product KPIs: Get introduced to high-level and low-level key performance indicators such as conversion, retention, user engagement and feature usage.

  7. Analyzing User Funnel: Learn the ABCs of user funnel analysis and its importance.

  8. Data Collection Methods: Grasp fundamental methods for collecting data like funnel and feature engagement analytics.

  9. Creating Basic Charts and Graphs: Develop skills in creating simple but effective visualizations.

  10. Introduction to Analytical Tools: Navigate essential tools like Amplitude, Google Analytics and Tableau.

  11. How to Present Your Findings: Master the art of summarizing and presenting your analytics insights.


Who Teaches the Course?

Javier Escribano

Fractional CPO. With over two decades of experience in creating digital products, I have founded three startups in various sectors and led multidisciplinary teams of up to 80 people, covering areas of product, technology, data, sales, and operations.

This experience enables me to approach startups, product teams, and challenges from multiple perspectives, providing leaders and product teams with fresh insights that facilitate achieving objectives and the professional development of the team

Juan Luis Hernández

Data Manager at Mapfre. With over a decade of data leadership experience, I've played a key role in both startup and corporate environments, leading data-driven initiatives across several domains.

I have focused on using data to develop innovative products that streamline decision-making processes and drive organizational growth. I have trained multiple teams to translate complex insights into actionable strategies.

Price

  • Regular Price: 399€ + VAT if applicable

  • Alumni Discount: 10% on the second course, 15% on the third course, and 20% on subsequent courses.

  • Group discount: 5% for 4-6 attendees, 10% discount for 7 or more attendees.

Contact us to obtain the discounts.

PAYMENT METHODS

  • Individual Payment: You can conveniently book and pay for your spot directly on this page. If you are entitled to any discount, contact us for the coupon code.

  • Company Payment: If the payment is through a company, please contact us with the number of participants and company details. An invoice will be provided for payment via bank transfer.

    • For Spanish Companies: This course qualifies for FUNDAE subsidies.

FAQ

We clarify the main questions you might have. If you have any other queries, feel free to contact us.

DO I NEED ANY SPECIFIC TOOLS?

We will share the exercise data in Google Spreadsheet. You can analyze it there or use any other tool you are familiar with.

The course's goal is not to teach analytical tools, but to learn how to think and analyze business and product problems using data.

DO I NEED TO KNOW SQL?

No, we will share the exercise data in Google Spreadsheet. You can analyze it there or use any other tool you are familiar with.

The course's goal is not to teach analytical tools, but to learn how to think and analyze business and product problems using data.

DO YOU OFFER THIS COURSE FOR COMPANIES?

Certainly, feel free to reach out to us.

If you wish to arrange exclusive live sessions for your team to complement the course, this can be facilitated. In these tailored live sessions, scheduled either weekly or biweekly, we will address any doubts and engage in more practical, hands-on exercises.

CAN I CANCEL THE COURSE?

If you are unsure if the course is right for you, it's better to write to us.

In any case, you have the right to cancel the course within seven calendar days after accessing the content.