Data is powering all kinds of products. Learn what are the factors that help you decide and communicate with different data teams, the landscape of ML-products for the next years and the possible impacts for your company.
A 30-day-live streamed course combining overall intuitions on data science field, practical sessions to help you on the decision making process without relying so much on technical teams. Join the program to learn from real examples and extend your PM skills (or become a Data Product Manager).
In one session per week you'll learn what are the critical factors you need to be aware in a product that is being leveraged by data and ML, what to expect for the next years in field of AI and how this impacts the different products.
In a session per week, you'll have the opportunity to (i) learn from established Data & ML Product Builders to find out how they leverage data in their products, (ii) participate in hands-on sessions simulating the interaction between PM and Data teams and (iii) learn how to ask questions to your data.
In session 1 you will learn how data science goes together with product. This will be done through use cases covering multiple areas and data science skills to be able to deliver an overview of the space.
In session 2 you will learn the different steps in the workflow of typical ML products. You will understand when to use and not to use ML, the different alghoritms available to you and their business implications.
In session 3 you will learn what are the trends and what to expect on the field in the next years. We will cover the commoditization of ML and what are the possible impacts to be aware and how to decide.
In session 4 you will learn how to use SQL and get your hands dirty on it to perform product analysis and support your decisions in a more independent way.
Join our guest to understand how to leverage Data and ML to help solving different problems and how to use concrete metrics for decisions in Data & ML Products
In this practice session you'll learn the most critical metrics, factors and business implications of some decisions while using ML models.
In this practice session you participate on the decision making process of budgeting a cloud-solution for a ML product.
In this practice session you will learn how to ask questions to data and see how to get answers using SQL.
Product Managers willing to gain a competitive advantage in the decision process of Data-driven products and understand the Ws & Hs of incorporating Machine Learning in a product
If you're managing a project or a group of projects, or looking to gain knowledge around Data. You'll acquire the skills to take value from Data and Machine Learning, and superpower your projects.
Engineers and software developers looking to better understand the relation between Product and Data teams to better work with their PM peers or simply improve their own product skills.
If you work in tech or in a company where Data-driven products are key to its success, then knowing how to leverage Data and Machine Learning will improve your chances of being successful.
Anyone starting a company, managing an organization, or leading key functional areas where data-powered digital products are critical for their future success.
One of the fastest career tracks right now is product management. This is a great place to start if you're looking to change industry, job, or simply need a new challenge.
We believe the best way to change the world is to make product management knowledge accessible and affordable. With Data for Product Managers by One Month PM you don't need to break the bank.
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