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Benjamin Culbertson

Learn how to manage your stakeholders' expectations for a solution as well as the ins and outs of procuring data for training a model. You'll also explore the idea of synthetic generation--it could save your project and your budget!

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Learn how to manage your stakeholders' expectations for a solution as well as the ins and outs of procuring data for training a model. You'll also explore the idea of synthetic generation--it could save your project and your budget!

Discover critical skills in communicating barriers and solutions to data acquisition for model training. In this course, Communicating Expectations to the Business, you will learn foundational knowledge that will aid you in managing stakeholders' expectations of data science, machine learning, and augmented intelligence solutions. First, you will learn what is needed for a data science solution. Next, you will discover the four main sources of historical data that can be used to train models for a solution that will generate insights that will be used by a team, and what barriers you may encounter in acquiring that data. Then, you will examine an innovative solution, synthetic data generation, that will aid in transforming existing data while maintaining the data's character, personality, and richness. Finally, you will explore how to communicate solutions and expectations to stakeholders on data availability and formatting, and ask for a go/no-go decision. When you're finished with this course, you will have the skills and knowledge of communicating challenges around availability of data, and strategies needed to overcome barriers to bring needed historical data to your data science and machine learning solution.

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What's inside

Syllabus

Course Overview
Reviewing Available Data with Stakeholders
Communicating Barriers to Data Access to Stakeholders
Recommending Next Steps Based on Available Data
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Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Introduces foundational knowledge for managing stakeholders' expectations of data science, machine learning, and augmented intelligence solutions
Taught by Benjamin Culbertson, an experienced instructor in machine learning and data science
Provides a comprehensive overview of data acquisition and management for model training
Highlights the importance of communicating challenges and solutions related to data availability and formatting
Suitable for individuals with foundational knowledge in data science or machine learning
Assumes some familiarity with data science concepts and terminology

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Communicating Expectations to the Business with these activities:
Review Foundational Data Science Concepts
Strengthen your foundational understanding of data science concepts to support your course progress.
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  • Identify key foundational concepts.
  • Review course materials.
  • Read articles and books on data science fundamentals.
  • Complete practice problems and exercises.
  • Attend refresher workshops or tutorials (optional).
Seek Mentorship from Experienced Data Scientists
Supplement course content with guidance from experienced professionals, to complement your learning journey.
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Show steps
  • Identify potential mentors.
  • Reach out to potential mentors.
  • Establish mentorship relationships.
  • Seek guidance on coursework, career advice and industry knowledge
Review Course Materials and Organize Notes
Strengthen your understanding and retention of course materials by engaging in active review and organization.
Show steps
  • Regularly review lecture notes, readings, and assignments
  • Organize your notes into a cohesive and logical structure
  • Summarize key concepts and ideas
13 other activities
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Participate in a Data Science Study Group
Maximize understanding through peer-led review sessions for course material.
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Show steps
  • Join or form a study group.
  • Set up meeting times.
  • Collaborate on course assignments.
  • Review and assess progress.
Practice Communicating Barriers and Solutions
Refine communication and problem-solving skills for real-world data science interactions and conflict resolution.
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Show steps
  • Identify communication barriers.
  • Develop strategies to overcome barriers.
  • Practice communicating with stakeholders.
  • Evaluate the effectiveness of communication.
Read 'Data Science for Business'
Familiarize yourself with the landscape and core concepts that will be used throughout the course.
Show steps
  • Read the introduction and the first two chapters of 'Data Science for Business'
Review Communications and Negotiation for Data Scientists
Reinforce how to communicate about data and solutions to aid in problem solving.
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Show steps
  • Research communication strategies.
  • Identify effective negotiation methods.
  • Develop materials to practice communication.
Data Acquisition Plan for Model Training
Develop a plan for procuring data necessary for training models.
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  • Identify data sources.
  • Assess data quality.
  • Create a plan for data acquisition.
  • Validate the plan with stakeholders.
  • Implement the plan.
Develop a Plan for Communicating Expectations
Provide you with a framework for communicating expectations effectively and managing stakeholder relationships.
Browse courses on Business Communication
Show steps
  • Identify your stakeholders and their expectations
  • Define the scope of your project and the expected outcomes
  • Develop a communication plan that outlines how you will communicate with stakeholders
  • Practice your communication skills by role-playing with a colleague or friend
Group Discussion on Stakeholder Management
Provide you with a platform to engage with peers, share experiences, and learn from others' perspectives on stakeholder management.
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  • Join a study group or discussion forum
  • Participate in discussions on stakeholder management
  • Share your own experiences and insights
Exercises on Data Acquisition Barriers
Enhance your ability to identify and overcome obstacles in data acquisition, a critical skill for data science projects.
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Show steps
  • Review the different types of data acquisition barriers
  • Identify the potential barriers that you may encounter in your own projects
  • Develop strategies for overcoming these barriers
Build a Presentation on Synthetic Data Generation
Deepen understanding of synthetic data generation and how to present solutions to business stakeholders.
Browse courses on Data Generation
Show steps
  • Review course materials on data generation.
  • Research synthetic data generation for presentation.
  • Develop a presentation outline.
  • Deliver the presentation to a mock or real audience.
Tutorial on Synthetic Data Generation
Empower you to explore and master synthetic data generation, a valuable technique for expanding and enhancing datasets.
Browse courses on Synthetic Data Generation
Show steps
  • Understand the concept and benefits of synthetic data generation
  • Learn about the different methods for generating synthetic data
  • Practice generating synthetic data using a tutorial or online resource
Tutor Students Needing Support with Course Concepts
Develop skills in explaining complex concepts and presenting clear solutions, while reinforcing your own knowledge.
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Show steps
  • Identify opportunities to provide tutoring support.
  • Prepare materials and lesson plans.
  • Facilitate tutoring sessions.
  • Collect and incorporate feedback.
Kaggle Competition on Data Acquisition
Challenge yourself by participating in a Kaggle competition focused on data acquisition, allowing you to test your skills in a practical setting.
Browse courses on Data Acquisition
Show steps
  • Identify a Kaggle competition that involves data acquisition
  • Form a team or work independently on the competition
  • Develop a solution to the competition
  • Submit your solution and compete against other teams
Volunteer as a Mentor for Aspiring Data Scientists
Contribute to the community by sharing your knowledge and experience with aspiring data scientists, reinforcing your understanding and fostering personal growth.
Browse courses on Mentoring
Show steps
  • Connect with organizations or platforms that offer mentoring programs
  • Sign up to be a mentor
  • Provide guidance and support to your mentee

Career center

Learners who complete Communicating Expectations to the Business will develop knowledge and skills that may be useful to these careers:
Data Analyst
The course, Communicating Expectations to the Business, may be useful for a Data Analyst who needs to effectively communicate and manage expectations with stakeholders, ensuring that they have a clear understanding of the data, its availability, and any limitations or barriers. By understanding the challenges around data acquisition and developing strategies to overcome them, Data Analysts can better plan and execute data science and machine learning projects.
Data Scientist
The course, Communicating Expectations to the Business, may be useful for a Data Scientist who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a data science solution. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Product Manager
The course, Communicating Expectations to the Business, may be useful for a Product Manager who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new product or feature. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Machine Learning Engineer
The course, Communicating Expectations to the Business, may be useful for a Machine Learning Engineer who needs to effectively communicate with stakeholders and manage their expectations for a machine learning solution. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Project Manager
The course, Communicating Expectations to the Business, may be useful for a Project Manager who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new project or initiative. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Business Analyst
The course, Communicating Expectations to the Business, may be useful for a Business Analyst who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a business solution. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Data Engineer
The course, Communicating Expectations to the Business, may be useful for a Data Engineer who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new data pipeline or infrastructure. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Chief Information Officer
The course, Communicating Expectations to the Business, may be useful for a Chief Information Officer who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new IT strategy or initiative. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Information Systems Manager
The course, Communicating Expectations to the Business, may be useful for an Information Systems Manager who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new information system or technology solution. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Data Architect
The course, Communicating Expectations to the Business, may be useful for a Data Architect who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new data architecture or design. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Software Engineer
The course, Communicating Expectations to the Business, may be useful for a Software Engineer who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new software product or feature. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Database Administrator
The course, Communicating Expectations to the Business, may be useful for a Database Administrator who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new database or data storage system. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Information Technology Manager
The course, Communicating Expectations to the Business, may be useful for an Information Technology Manager who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new IT project or initiative. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Chief Data Officer
The course, Communicating Expectations to the Business, may be useful for a Chief Data Officer who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new data strategy or initiative. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.
Chief Technology Officer
The course, Communicating Expectations to the Business, may be useful for a Chief Technology Officer who needs to effectively communicate with stakeholders, gather requirements, and manage their expectations for a new technology strategy or initiative. The course provides foundational knowledge on understanding data availability, identifying potential barriers, and recommending next steps based on available data.

Reading list

We've selected eight 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 Communicating Expectations to the Business.
Provides a comprehensive overview of data science, including data mining and data-analytic thinking. It valuable resource for those who want to learn more about the field.
Provides a comprehensive overview of data science. It valuable resource for those who want to learn more about the field.
Provides a practical guide to machine learning. It valuable resource for those who want to learn more about the field.
Provides a guide for managers and executives on how to use artificial intelligence to improve their businesses.
Provides a guide to the ethical issues surrounding AI systems. It valuable resource for those who want to learn more about the ethical implications of AI.

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