Communicating Expectations to the Business from Pluralsight

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.

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

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

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

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Strengthen your foundational understanding of data science concepts to support your course progress.

Browse courses on Data Science

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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

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Supplement course content with guidance from experienced professionals, to complement your learning journey.

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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

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Strengthen your understanding and retention of course materials by engaging in active review and organization.

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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

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Maximize understanding through peer-led review sessions for course material.

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Join or form a study group.
Set up meeting times.
Collaborate on course assignments.
Review and assess progress.

Practice Communicating Barriers and Solutions

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Refine communication and problem-solving skills for real-world data science interactions and conflict resolution.

Browse courses on Communication

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Identify communication barriers.
Develop strategies to overcome barriers.
Practice communicating with stakeholders.
Evaluate the effectiveness of communication.

Read 'Data Science for Business'

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Familiarize yourself with the landscape and core concepts that will be used throughout the course.

View Data Science for Business: What You Need to... on Amazon

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Read the introduction and the first two chapters of 'Data Science for Business'

Review Communications and Negotiation for Data Scientists

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Reinforce how to communicate about data and solutions to aid in problem solving.

Browse courses on Communication

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Research communication strategies.
Identify effective negotiation methods.
Develop materials to practice communication.

Data Acquisition Plan for Model Training

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Develop a plan for procuring data necessary for training models.

Browse courses on Data Acquisition

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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

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Provide you with a framework for communicating expectations effectively and managing stakeholder relationships.

Browse courses on Business Communication

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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

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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

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Enhance your ability to identify and overcome obstacles in data acquisition, a critical skill for data science projects.

Browse courses on Data Challenges

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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

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Deepen understanding of synthetic data generation and how to present solutions to business stakeholders.

Browse courses on Data Generation

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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

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Empower you to explore and master synthetic data generation, a valuable technique for expanding and enhancing datasets.

Browse courses on Synthetic Data Generation

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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

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Develop skills in explaining complex concepts and presenting clear solutions, while reinforcing your own knowledge.

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Identify opportunities to provide tutoring support.
Prepare materials and lesson plans.
Facilitate tutoring sessions.
Collect and incorporate feedback.

Kaggle Competition on Data Acquisition

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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

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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

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Contribute to the community by sharing your knowledge and experience with aspiring data scientists, reinforcing your understanding and fostering personal growth.

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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.

See salaries and explore the career path for Data Analyst

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.

See salaries and explore the career path for Data Scientist

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.

See salaries and explore the career path for Product Manager

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.

See salaries and explore the career path for Machine Learning Engineer

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.

See salaries and explore the career path for Project Manager

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.

See salaries and explore the career path for Business Analyst

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.

See salaries and explore the career path for Data Engineer

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.

See salaries and explore the career path for Chief Information Officer

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.

See salaries and explore the career path for Information Systems Manager

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.

See salaries and explore the career path for Data Architect

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.

See salaries and explore the career path for Software Engineer

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.

See salaries and explore the career path for Database Administrator

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.

See salaries and explore the career path for Information Technology Manager

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.

See salaries and explore the career path for Chief Data Officer

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.

See salaries and explore the career path for Chief Technology Officer