Data Science for Product Managers | Basic to Pro Level(2025)
What you'll learn
- Data Analysis to Drive Decision Making
- Analysis Methods – Descriptive Analysis
- Predictive Analysis
- Predictive Analysis
- Big Data Terminologies
- Data Science Algorithms and its applications
- K-Means Clustering
- Association Rules
- Regression Analysis
- K-Nearest Neighbors
- Decision Trees
Requirements
- No prerequisites
Description
Are you a Product Manager looking to harness the power of Data Science to drive strategic decisions, build data-driven products, and enhance customer experiences? This comprehensive course, "Data Science for Product Managers," is designed to help you navigate the rapidly expanding intersection of product management and data science. Whether you're new to data science or want to refine your skills, this course offers a deep dive into everything you need to know.
What You’ll Learn:
In this course, you will gain a solid understanding of both fundamental and advanced data science techniques, and how they can be applied directly in product management contexts.
Understanding Data Science: Explore the core principles of data science, including its role in analyzing complex data and solving real-world problems.
Data-Science-Enabled Products: Learn how data science powers some of the most popular products we use today, from recommendation engines (Netflix, Amazon) to voice assistants (Siri, Alexa).
Big Data Landscape: Get familiar with the ecosystem of big data tools and technologies, including Hadoop, Spark, and NoSQL, and understand how they’re used to process massive datasets.
Data Science Basics & Machine Learning: Master the essential concepts of machine learning, including algorithms like regression, clustering, and classification, to turn data into actionable insights.
Data Science Algorithms: Dive deeper into popular data science algorithms, including K-Means Clustering, Association Rules, Decision Trees, and more, used for product optimization and customer segmentation.
Building Data-Driven Products: Learn how to structure and manage a data science project from start to finish, including data collection, model building, and integration into a product.
Data Science for Product Managers: Understand the unique role of the Product Manager in collaborating with data scientists, analyzing data, and using insights to inform product strategy and development.
Who This Course Is For:
Product Managers looking to expand their skillset by learning data science principles and applications.
Aspiring Product Managers who want to understand the importance of data-driven decision-making in product development.
Data Science professionals seeking to collaborate more effectively with product management teams.
Anyone interested in how data science can be used to improve customer experiences, optimize products, and drive business growth.
Course Structure:
The course is divided into comprehensive sections that guide you through both theoretical knowledge and practical applications.
Introduction to Data Science:
Learning Objectives
What is Data Science?
Data-Science-Enabled Products
Big Data Landscape
Data Science Basics & Machine Learning:
Core machine learning concepts like regression, classification, and clustering
Practical application of machine learning in product management
Data Science Algorithms:
K-Means Clustering, Decision Trees, Regression Analysis, and Association Rules
Applying data science algorithms to product features and enhancements
Building Data-Driven Products:
Real-world examples of how data science powers product features and performance
Lessons on back-testing, quality assurance (QA), and delivering actionable insights
Product Manager and Data Science Collaboration:
Best practices for product managers working with data scientists
Leveraging data science insights for effective product strategy
Advanced Topics in Data Science:
Principal Component Analysis (PCA), Parameter Tuning, and Interactive Visualization techniques
Advanced machine learning and big data tools
Visualization and Insights:
Master data visualization with tools like heat maps, scatter plots, and financial charts
Learn how to present data for maximum impact in a product management setting
Key Features:
Interactive quizzes to test your knowledge at every stage
Real-world case studies showcasing how leading companies use data science in product development
Practical examples that show you how to apply data science concepts in your role as a product manager
Easy-to-understand lessons, designed to make even the most complex data science topics approachable for non-technical users
Why Should you take this course from IPL
Institute of Product Leadership (IPL) was formed in conjunction with the Executive Product Industry Council (EPIC). IPL's programs are designed for professionals, enabling them to accelerate their career, transform into a leadership role and internalize entrepreneurial thinking.
Till date Institute of Product Leadership has helped Thousands of interested learners in acquiring knowledge the aspire to learn. Our participants acquire the skills to build innovation in the global context and that of emerging markets. The courses are designed and delivered by eminent leaders of the Product Industry, who leverage their invaluable experience to create a learning environment, like no other.
Who this course is for:
- Individuals seeking a career in Product Management
- Professionals aiming to transition into Product Management
- Product Managers looking to enhance their skillset
- Entrepreneurs wanting a comprehensive understanding of data product development
Instructor
Institute of Product Leadership (IPL) was formed in conjunction with the Executive Product Industry Council (EPIC). IPL's programs are designed for professionals, enabling them to accelerate their career, transform into a leadership role and internalize entrepreneurial thinking. Our participants acquire the skills to build innovation in the global context and that of emerging markets. The courses are designed and delivered by eminent leaders of the Product Industry, who leverage their invaluable experience to create a learning environment, like no other.