In keeping with our mission to upskill the workforce of tomorrow, we’re excited to announce that we’re giving early access to the second course in our upcoming Data Product Manager Nanodegree program.
Access to the first course, Applying Data Science to Product Management, has been available since June. As of today, Establishing Data Infrastructure, the second course in the Nanodegree program, is also open for enrollment at 30% off!
Not only will you receive a certificate for the completion of these courses, but progress in either course will be considered credit towards the Data Product Manager Nanodegree program — which will launch later in 2020. Additionally, taking either course will unlock 30% off the price of the full Nanodegree.
Use Market Data for Product Development
It’s no secret that a majority of digital products today are designed to be data-oriented. For instance, Uber uses data to calculate surge pricing, and Netflix uses customer data for its personalized recommendation engine.
In most digital products, data is used to enhance product lines, better meet customer needs, or make products that customers actually want. Moreover, data that’s collected from a product can be fed into machine learning algorithms and used to create a more personalized experience.
These trends all point to an increased need for product managers to be able to capture insights from quantitative and qualitative data to make product decisions and compete in saturated markets.
Get Real-world, Practical Skills to Move Up in Your Career
Between the courses and Nanodegree program, you’ll be able to learn this necessary skill and start a career that is taking off.
You’ll learn how to apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Additionally, you’ll begin by using the power of SQL and Tableau to inform product strategy.
Then, you will develop data pipelines and warehousing strategies to prepare data collected from a product for robust analysis.
Finally, you’ll learn techniques for evaluating the data from live products, including how to design and execute various A/B and multivariate tests to shape the next iteration of a product.
Here’s a deeper dive into what you’ll learn in the two courses that are now available.
About Course 1: Applying Data Science to Product Management
In this course, you’ll understand the role of data product managers within organizations and how they utilize data science, machine learning, and artificial intelligence to solve problems.
A key responsibility of data product managers is analyzing market data to propose new product opportunities by developing a data-backed product proposal, which will be the focus of the project in the course.
You’ll apply the skills acquired in this course to create the minimum viable product (MVP) launch strategy for the first flying car taxi service, Flyber, in one of the most congested cities in America — New York City.
Your team acquired taxi data for comparable initial analysis. The dataset contains real taxi drop-offs and pick-ups in New York City. First, you will analyze the existing use cases for and identify temporal, behavioral, and spatial trends of ground-based taxis from the dataset.
Next, you’ll deep-dive into user research data, to understand the general sentiment, desires, concerns, and use cases of a flying cab service to prospective customers.
Finally, you’ll synthesize your insights to create a data-backed product proposal that recommends what features the first flying taxi service should have to maximize consumer delight, adoption, and profits.
About Course 2: Establishing Data Infrastructure
Data product managers need to ensure their products have the right data pipelines in place so that data collected from users can be extracted, transformed, and loaded into a data lake or warehouse that can be used for statistical analysis.
In this course, you’ll learn about data infrastructure components including data pipelines, data producers, data consumers, data storage, and data processing.
You’ll create solutions for real-world data infrastructure problems and weigh tradeoffs, and evaluate strategic decisions for data pipeline technology, including security and compliance.
In the course project, you will build a scalable data strategy for Flyber as you apply learnings to evaluate and make step-by-step decisions for the company’s data infrastructure.
A Well-Designed Curriculum by Leading Data Product Managers
To design this program, we collaborated with experienced product managers who currently work in the field. The entire program is designed and taught by industry experts.
- Course 1: JJ Miclat, Sr. Product Manager at Zendesk
- Course 2: Vaishali Agarwal, Product Manager at Expedia
- Course 3: Anne Rynearson, Senior Product Manager at DISQO
Enrollment Options to Get You Started
Enroll now and start your journey towards becoming a Data Product Manager! You can choose from the following options:
- Enroll today in either Course 1 — Applying Data Science to Product Management, or Course 2 — Establishing Data Infrastructure. Any progress you make in either Course will be considered credit towards the full Nanodegree program.
- Wait until August 2020 and enroll in the complete Data Product Manager Nanodegree Program.
Take the Leap Towards Becoming a Data Product Manager
Digital products are not only here to stay, but will grow and flourish. Thus, the ability to leverage collected data to enhance product experiences and, consequently, the role of data product managers will only continue to grow. Get skilled in this growing, high-demand field now.
If you want to build data-driven products backed by scalable data strategies to deliver the right experience to the right users, at the right time, then take advantage of early access to the first two courses of the Data Product Manager Nanodegree program today.
