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Certified Analytics Professional

Business Problem Framing

Dr. Ali Feizollah

Enhance your analytical skills with this Certified Analytics Professional (CAP) course! Learn to define, assess, and solve business problems using structured analytical approaches, ensuring alignment with stakeholders and business objectives.

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Enhance your analytical skills with this Certified Analytics Professional (CAP) course! Learn to define, assess, and solve business problems using structured analytical approaches, ensuring alignment with stakeholders and business objectives.

Navigating through the initial phases of an analytics project, particularly framing the business problem accurately, is a pivotal step that often poses challenges to professionals in the field.

In this course, Certified Analytics Professional: Business Problem Framing, you’ll gain the ability to systematically frame business problems and align them with analytical solutions and stakeholder expectations.

First, you’ll explore how to accurately define and refine business problems, ensuring they are clear, concise, and actionable.

Next, you’ll discover effective strategies for identifying and managing stakeholders, ensuring their interests and concerns are addressed throughout the project.

Finally, you’ll learn how to assess the feasibility of analytical solutions, refine problem statements considering constraints, and define potential business benefits.

When you’re finished with this course, you’ll have the skills and knowledge of business problem framing needed to initiate and guide analytics projects effectively, ensuring they are aligned with both analytical capabilities and business objectives.

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What's inside

Syllabus

Course Overview
Introduction to Business Problem Framing
Receiving and Refining the Business Problem
Identifying and Managing Stakeholders
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Assessing Analytical Applicability and Refining the Problem Statement
Defining Business Benefits and Gaining Stakeholder Agreement

Good to know

Know what's good
, what to watch for
, and possible dealbreakers
Teaches a structured approach to business problem framing, which is standard in solving analytical problems
Taught by Dr. Ali Feizollah, who is recognized for their work in analytics
Strong focus on framing business problems accurately, ensuring clear and actionable solutions
Covers identifying and managing stakeholders, ensuring alignment with project objectives
Examines the feasibility of analytical solutions, helping learners make informed decisions

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Activities

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Career center

Learners who complete Certified Analytics Professional: Business Problem Framing will develop knowledge and skills that may be useful to these careers:
Data Analyst
Data Analysts take part in the complex world of big data to find trends and correlations important to a business' growth and success. They may work with large data sets to create reports that help companies in a multitude of industries make better decisions on a daily basis. Those seeking to enter this field specifically should take **Certified Analytics Professional: Business Problem Framing** because much of the work Data Analysts do revolves around solving business problems and ensuring stakeholder needs are met. This course provides a structured framework to do both.
Business Intelligence Analyst
Business Intelligence Analysts gather, analyze, and interpret large amounts of corporate data to draw actionable conclusions. They integrate information from various sources using a variety of statistical and analytical tools to generate insights for Data Scientists and other parties to produce actionable business intelligence. Due to much of their work being grounded in defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful to BI Analysts.
Data Scientist
Data Scientists leverage their skills to gain insights from data. They work in a variety of sectors, from healthcare to finance to manufacturing. While their output varies, they often begin by identifying business problems and using their analytical skills to solve them. Because the **Certified Analytics Professional: Business Problem Framing** course helps refine business problems and align them with potential analytical solutions, it may be a useful resource for those looking to become Data Scientists.
Operations Research Analyst
Operations Research Analysts work with data to find patterns, interpret trends, and provide insights on how organizations could potentially improve their operations. As their work often begins with defining and analyzing problems, the **Certified Analytics Professional: Business Problem Framing** could be useful. The course covers essential elements of business problem framing, identifying and managing stakeholders, and defining potential business benefits, all valuable skills for Operations Research Analysts.
Solutions Architect
Solutions Architects design and build innovative solutions for complex business problems. To do so, they work with clients to understand their needs, define goals, and determine how best to leverage technology. Due to their role being grounded in gathering and defining project and business requirements, **Certified Analytics Professional: Business Problem Framing** could be useful to Solutions Architects as it provides a structured framework for approaching this work.
Project Manager
Project Managers plan, execute, and close projects, in addition to leading and motivating cross-functional teams. To do so, they need to understand the overall business objectives and define the specific goals of each project. The **Certified Analytics Professional: Business Problem Framing** course may be useful to Project Managers as it covers the initial phases of an analytics project, especially framing the business problem accurately, something which Project Managers need to do for all projects they lead.
Systems Analyst
Systems Analysts work in a variety of industries. They study business processes and develop plans to improve efficiency. To do this well, they need to have a solid understanding of an organization's systems. The **Certified Analytics Professional: Business Problem Framing** course may be useful to Systems Analysts as it covers how to define and refine business problems, which is an essential part of their work of studying business processes and developing plans to improve efficiency.
Management Consultant
Management Consultants help organizations improve their performance. They do this by studying an organization's operations and recommending changes. To be successful in this role, Management Consultants need to have a strong understanding of business problems and how to solve them. The **Certified Analytics Professional: Business Problem Framing** course may be useful to those aspiring to become Management Consultants as it provides a structured framework for defining and solving business problems.
Business Analyst
Business Analysts work with stakeholders to define and document business requirements. They use this information to create solutions that meet the needs of the business. Defining and documenting business requirements is a critical part of this role, making the **Certified Analytics Professional: Business Problem Framing** course may be useful as it provides a structured framework for defining business problems and aligning them with analytical solutions and stakeholder expectations.
Data Engineer
Data Engineers build and maintain the infrastructure that stores and processes data. They work closely with Data Scientists and other data professionals to ensure that data is available and ready for analysis. While defining and solving business problems may not be a primary responsibility for Data Engineers, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working with data that is used to define and solve business problems.
Software Engineer
Software Engineers design, develop, and maintain software systems. While their work may not always involve defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working on software systems that are used to define and solve business problems.
Statistician
Statisticians use mathematical and statistical methods to collect, analyze, interpret, and present data. While their work may not always involve defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working on statistical methods that are used to define and solve business problems.
Market Researcher
Market Researchers conduct research to understand consumer behavior and market trends. While their work may not always involve defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working on market research that is used to define and solve business problems.
Financial Analyst
Financial Analysts use financial data to make investment recommendations. While their work may not always involve defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working on financial analysis that is used to define and solve business problems.
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. While their work may not always involve defining and solving business problems, the **Certified Analytics Professional: Business Problem Framing** course may be useful for those interested in this area or working on actuarial analysis that is used to define and solve business problems.

Reading list

We've selected 11 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 Certified Analytics Professional: Business Problem Framing.
Provides a framework for building successful businesses based on the principles of the Lean Startup methodology. It covers topics such as customer validation, product development, and business model innovation. It valuable resource for anyone looking to learn how to build a successful business.
Provides a comprehensive introduction to data mining, covering topics such as data preprocessing, feature selection, and model evaluation. It valuable resource for anyone looking to gain a deeper understanding of data mining.
Provides a comprehensive introduction to deep learning, covering topics such as convolutional neural networks, recurrent neural networks, and generative models. It valuable resource for anyone looking to gain a deeper understanding of deep learning.
Provides a comprehensive introduction to machine learning using Python. It covers topics such as data preprocessing, feature engineering, and model evaluation. It valuable resource for anyone looking to learn how to use Python to solve machine learning problems.
Provides a comprehensive introduction to data science for business. It covers topics such as data wrangling, data visualization, and machine learning. It valuable resource for anyone looking to learn how to use data science to solve business problems.
Provides a comprehensive introduction to big data analytics. It covers topics such as data storage, data processing, and data visualization. It valuable resource for anyone looking to learn how to use big data to solve business problems.
Provides a comprehensive introduction to artificial intelligence for business. It covers topics such as machine learning, natural language processing, and computer vision. It valuable resource for anyone looking to learn how to use AI to solve business problems.
Provides a comprehensive introduction to the Fourth Industrial Revolution. It covers topics such as artificial intelligence, the Internet of Things, and blockchain. It valuable resource for anyone looking to learn how these technologies are changing the world.
Provides a comprehensive introduction to exponential organizations. It covers topics such as the power of networks, the importance of culture, and the role of technology. It valuable resource for anyone looking to learn how to build an exponential organization.
Provides a comprehensive introduction to the Innovator's Dilemma. It covers topics such as the challenges of disruptive innovation and the importance of customer focus. It valuable resource for anyone looking to learn how to avoid the Innovator's Dilemma.

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