We may earn an affiliate commission when you visit our partners.
Applying Data Science to Product Management
Anne Rynearson,
JJ Miclat,
and
Vaishali Agarwal
Anne Rynearson,
JJ Miclat,
and
Vaishali Agarwal
Enhance your data product management skills with our in-depth online course. Learn to utilize data science, ML, and AI for effective decision-making. Enroll now
Prerequisite details
Read more
Enhance your data product management skills with our in-depth online course. Learn to utilize data science, ML, and AI for effective decision-making. Enroll now
Prerequisite details
Read more
Enhance your data product management skills with our in-depth online course. Learn to utilize data science, ML, and AI for effective decision-making. Enroll now
Prerequisite details
To optimize your success in this program, we've created a list of prerequisites and recommendations to help you prepare for the curriculum. Prior to enrolling, you should have the following knowledge:
- Tableau proficiency
- Basic SQL
You will also need to be able to communicate fluently and professionally in written and spoken English.
Register for this course and see more details by visiting:
OpenCourser.com/course/nkl8dy/applying
What's inside
Syllabus
Find out about the rise of the data product manager with the explosion of information in recent years.
Learn about the granularity, distribution and modeling of data, key areas to utilize in your data PM skill set.
Read more
Syllabus
Find out about the rise of the data product manager with the explosion of information in recent years.
Learn about the granularity, distribution and modeling of data, key areas to utilize in your data PM skill set.
Read more
Establishing trends, enriching data, and visualizing that data are the next important areas in your data product manager journey.
You are responsible for bringing the first flying car taxi service to market by analyzing data and building a product proposal.
Learn how to set product objectives and strategy to drive your desired results.
Your product proposal is a crucial piece of getting a product to market - learn here how to synthesize and design your presentation.
Building on your previous research for a Flying Car Business Case, determine KPIs and an MVP en route to a fully fledged product proposal.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a comprehensive introduction to data product management skills
Taught by industry experts who have extensive experience in data product management
Covers the latest trends and techniques in data product management
Includes hands-on exercises and real-world case studies to help you apply your learning
Provides a strong foundation for those who want to pursue a career in data product management
Save this course
Save Applying Data Science to Product Management to your list so you can find it easily later:
Save
Save
Activities
Coming soon
We're preparing activities for
Applying Data Science to Product Management.
These are activities you can do either before, during, or after a course.
Career center
Learners who complete Applying Data Science to Product Management will develop knowledge and skills
that may be useful to these careers:
Data Product Manager
Data Product Manager
Data Product Managers are responsible for the development and management of data products, ensuring that they meet the needs of users and businesses. This course provides a foundation in data science, machine learning, and AI, which are essential skills for Data Product Managers. The course also covers topics such as data visualization, product management, and business strategy, which are all relevant to this role. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Product Manager.
Product Manager
Product Manager
Product Managers are responsible for the development and management of products, ensuring that they meet the needs of users and businesses. This course provides a foundation in data science, machine learning, and AI, which are increasingly important for Product Managers. The course also covers topics such as data visualization, product management, and business strategy, which are all relevant to this role. By taking this course, you will gain the skills and knowledge necessary to succeed as a Product Manager.
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, analyzing, and interpreting data to help businesses make informed decisions. This course provides a foundation in data science, machine learning, and AI, which are essential skills for Data Analysts. The course also covers topics such as data visualization and data management, which are both relevant to this role. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Analyst.
Data Scientist
Data Scientist
Data Scientists are responsible for developing and implementing data-driven solutions to business problems. This course provides a foundation in data science, machine learning, and AI, which are essential skills for Data Scientists. The course also covers topics such as data analysis, data visualization, and data management, which are all relevant to this role. By taking this course, you will gain the skills and knowledge necessary to succeed as a Data Scientist.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers are responsible for developing and deploying machine learning models. This course provides a foundation in data science, machine learning, and AI, which are essential skills for Machine Learning Engineers. The course also covers topics such as data engineering, model deployment, and model monitoring, which are all relevant to this role. By taking this course, you will gain the skills and knowledge necessary to succeed as a Machine Learning Engineer.
Business Analyst
Business Analyst
Business Analysts are responsible for analyzing business processes and identifying opportunities for improvement. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Business Analysts in understanding data-driven insights. The course also covers topics such as data visualization and business strategy, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Business Analyst.
Software Engineer
Software Engineer
Software Engineers are responsible for developing and maintaining software applications. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Software Engineers in understanding data-driven insights. The course also covers topics such as data visualization and data management, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Software Engineer.
Data Engineer
Data Engineer
Data Engineers are responsible for building and maintaining data pipelines. This course provides a foundation in data science, machine learning, and AI, which are increasingly important for Data Engineers. The course also covers topics such as data management, data quality, and data security, which are all relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Data Engineer.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts are responsible for developing and implementing mathematical models for financial analysis. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Quantitative Analysts in understanding data-driven insights. The course also covers topics such as statistics and financial modeling, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Quantitative Analyst.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts are responsible for developing and implementing mathematical models for operational problems. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Operations Research Analysts in understanding data-driven insights. The course also covers topics such as optimization and simulation, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as an Operations Research Analyst.
Actuary
Actuary
Actuaries are responsible for assessing and managing financial risks. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Actuaries in understanding data-driven insights. The course also covers topics such as statistics and financial modeling, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as an Actuary.
Statistician
Statistician
Statisticians are responsible for collecting, analyzing, and interpreting data. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Statisticians in understanding data-driven insights. The course also covers topics such as statistical modeling and data visualization, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Statistician.
Data Journalist
Data Journalist
Data Journalists are responsible for reporting on data-driven stories. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Data Journalists in understanding data-driven insights. The course also covers topics such as data visualization and storytelling, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Data Journalist.
Market Researcher
Market Researcher
Market Researchers are responsible for collecting and analyzing data about consumer behavior. This course provides a foundation in data science, machine learning, and AI, which can be helpful for Market Researchers in understanding data-driven insights. The course also covers topics such as survey design and data analysis, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a Market Researcher.
UX Researcher
UX Researcher
UX Researchers are responsible for studying user behavior and designing user interfaces. This course provides a foundation in data science, machine learning, and AI, which can be helpful for UX Researchers in understanding data-driven insights. The course also covers topics such as user research and data analysis, which are both relevant to this role. By taking this course, you may gain the skills and knowledge necessary to succeed as a UX Researcher.
For more career information including salaries, visit:
OpenCourser.com/course/nkl8dy/applying
Reading list
We've selected ten books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Applying Data Science to Product Management.
Provides a comprehensive introduction to data science, covering the fundamental concepts, techniques, and tools used in the field. It valuable resource for anyone looking to gain a deeper understanding of data science and its applications in business.
Save
Provides a comprehensive introduction to data mining, covering the fundamental concepts, techniques, and applications of the field. It valuable resource for anyone looking to gain a deeper understanding of data mining and its potential impact on business and society.
Save
Provides a practical guide to big data, covering the fundamental concepts, techniques, and tools used in the field. It valuable resource for anyone looking to learn how to manage and analyze big data.
Provides a comprehensive introduction to Hadoop, covering the fundamental concepts, architecture, and applications of the platform. It valuable resource for anyone looking to learn how to use Hadoop to manage and analyze big data.
Provides a comprehensive introduction to Spark, covering the fundamental concepts, architecture, and applications of the platform. It valuable resource for anyone looking to learn how to use Spark to manage and analyze big data.
Save
Provides a practical introduction to data visualization, covering the fundamental concepts, techniques, and tools used in the field. It valuable resource for anyone looking to learn how to create effective data visualizations.
Provides a practical introduction to Python for data analysis, covering the fundamental concepts, libraries, and techniques used in the field. It valuable resource for anyone looking to learn how to use Python to analyze data.
Save
Provides a practical introduction to R for data science, covering the fundamental concepts, libraries, and techniques used in the field. It valuable resource for anyone looking to learn how to use R to analyze data.
Provides a practical introduction to machine learning with Python, covering the fundamental concepts, algorithms, and techniques used in the field. It valuable resource for anyone looking to learn how to use Python to build machine learning models.
Provides a practical introduction to deep learning with Python, covering the fundamental concepts, architectures, and applications of the field. It valuable resource for anyone looking to learn how to use Python to build deep learning models.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/nkl8dy/applying
Share
Similar courses
Here are nine courses similar to
Applying Data Science to Product Management.
Understanding Your Product
OpenCourser.com/course/c8ryja/understanding
Understanding Your Product
Digital Product Management: Modern Fundamentals
OpenCourser.com/course/jpkcwy/digital
Digital Product Management: Modern Fundamentals
Exploring Iterating Product Experiences
OpenCourser.com/course/1qsvcf/exploring
Exploring Iterating Product Experiences
Positioning Product Metrics
OpenCourser.com/course/4tygr2/positioning
Positioning Product Metrics
Product Management: Strategy and Vision
OpenCourser.com/course/g4lmxg/product
Product Management: Strategy and Vision
Getting Started with Data Architecture for Managing Data Products
OpenCourser.com/course/9oz2af/getting
Getting Started with Data Architecture for Managing Data...
Managing New Product Development
OpenCourser.com/course/kb79en/managing
Managing New Product Development
Breaking Into Digital Product Management
OpenCourser.com/course/q0fc3r/breaking
Breaking Into Digital Product Management
Leveraging Data in Iterative Product Design
OpenCourser.com/course/abfa4r/leveraging
Leveraging Data in Iterative Product Design
Effort
4 weeks
Level
Intermediate
Via
Udacity
Instructors
Anne Rynearson
JJ Miclat
Vaishali Agarwal
Language
English
Good to know
Provides a comprehensive introduction to data product management skills
Taught by industry experts who have extensive experience in data product management
Covers the latest trends and techniques in data product management
Includes hands-on exercises and real-world case studies to help you apply your learning
Provides a strong foundation for those who want to pursue a career in data product management
Our mission
OpenCourser helps millions of learners each year. People visit us to learn workspace skills, ace their exams, and nurture their curiosity.
Our extensive catalog contains over 50,000 courses and twice as many books. Browse by search, by topic, or even by career interests. We'll match you to the right resources quickly.
Find this site helpful? Tell a friend about us.
Affiliate disclosure
We're supported by our community of learners. When you purchase or subscribe to courses and programs or purchase books, we may earn a commission from our partners.
Your purchases help us maintain our catalog and keep our servers humming without ads.
Thank you for supporting OpenCourser.
© 2016 - 2024 OpenCourser