Identifying and Understanding Business Problems for Data Scientists from Pluralsight

Identifying and defining business challenges is crucial for developing data science solutions and aligning stakeholders. This course teaches you to recognize key problems that data science can address.

Diagnosing business challenges involves defining the problem, pinpointing its origins, assessing data science as a solution, shaping it into data objectives, and creating a focused, clear problem statement for stakeholder consensus.

In this course, Identifying and Understanding Business Problems for Data Scientists, you’ll gain the ability to effectively recognize, understand, and define business problems that can be addressed with data science.

First, you’ll explore how to uncover hidden business challenges through data trends and stakeholder engagement.

Next, you’ll discover the methods to apply data science to create impactful business solutions.

Finally, you’ll learn how to assess the readiness of a business problem for a data science approach and articulate it into clear, data-centric objectives.

When you’re finished with this course, you’ll have the skills and knowledge of business problem identification and analysis needed to confidently translate business issues into data science projects that deliver tangible results.

What's inside

Syllabus

Course Overview

Diagnosing Business Challenges

Strategizing Project Execution

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Taught by experts in the field, Pinal Dave and his team

Explores industry-standard strategies for defining business challenges

Helps learners understand the full scope of data science, from theory to application

Covers essential concepts in data science, including data collection, analysis, and visualization

Requires learners to have a strong foundation in programming and statistics

May not be suitable for beginners with no prior experience in data science

Career center

Learners who complete Identifying and Understanding Business Problems for Data Scientists will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists develop and maintain analytical models to extract knowledge from large data sets. Leveraging advanced tools and statistical techniques, they use data to solve complex problems and drive business decisions. This course can help build the skills needed to identify and understand the foundational business challenges that Data Scientists face. It also teaches ways to effectively frame business problems in the context of data science.

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Data Analyst

Data Analysts combine domain knowledge and expertise with advanced statistical skills. They translate business needs into quantifiable metrics, using data to make objective recommendations and valuable insights. This "Identifying and Understanding Business Problems for Data Scientists" course can help teach data analysts how to effectively identify and define business problems that can be addressed with data science, which is foundational knowledge for this vital role.

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Machine Learning Engineer

Machine Learning Engineers build, deploy, and maintain machine learning models. They work with data scientists to develop models and with software engineers to integrate models into production systems. This "Identifying and Understanding Business Problems for Data Scientists" course can help lay a foundation for Machine Learning Engineers by teaching them how to recognize key problems that data science can address and how to assess the readiness of a business problem for a data science approach.

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Data Engineer

Data Engineers build and maintain data pipelines and infrastructure. They work with data scientists and other engineers to ensure that data is available and usable for analysis. This course may be useful for Data Engineers interested in learning more about identifying and understanding business problems that data science can address.

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Financial Analyst

Financial Analysts use financial data and models to make investment decisions and provide recommendations to clients. They need to understand business problems and how to use data to make sound financial decisions. This course can provide Financial Analysts with a foundation in identifying and understanding business problems.

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Business Analyst

Business Analysts work closely with stakeholders to understand their business needs and challenges. They use analytical techniques to identify opportunities for improvement and develop solutions to drive business outcomes. The skills taught in this course on identifying and defining business problems, as well as aligning stakeholders, are critical for success in this role.

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Market Researcher

Market Researchers gather and analyze data about markets and customers. They use this information to develop insights and make recommendations to help businesses make better decisions. This "Identifying and Understanding Business Problems for Data Scientists" course may help Market Researchers understand how to frame business problems in a way that data science can address.

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Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to help solve complex business problems. They develop trading strategies, assess financial risk, and provide recommendations to businesses and investors. The skills taught in this course on identifying and understanding business problems, as well as assessing the readiness of a business problem for a data science approach, can be valuable to succeed in this role.

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Business Intelligence Analyst

Business Intelligence Analysts use data to analyze business performance and identify trends. They provide insights to help businesses make better decisions. This course may be helpful for Business Intelligence Analysts to learn more about identifying and understanding business problems and how to translate them into data-centric objectives.

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Product Manager

Product Managers are responsible for the overall vision and strategy of a product. They work with engineers, designers, and marketers to bring products to market and ensure they meet customer needs. This "Identifying and Understanding Business Problems for Data Scientists" course may be useful for Product Managers who want to learn more about applying data science techniques to solve business problems.

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Data Architect

Data Architects design and manage data systems and infrastructure. They work closely with business stakeholders to understand data requirements and develop solutions that meet those needs. This course may be useful for Data Architects to learn how to better understand business problems and how to translate them into data-centric objectives.

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Data Strategy and Governance Professional

Data Strategy and Governance Professionals develop and implement data strategies and policies. They work with business leaders to understand data needs and develop strategies to meet those needs. This course may be useful for Data Strategy and Governance Professionals to learn more about identifying and defining business problems that can be solved with data.

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Actuary

Actuaries use mathematical and statistical techniques to assess and manage risk. They work in various industries, including insurance, finance, and healthcare. This course may be helpful for Actuaries interested in learning more about identifying and understanding business problems that can be addressed with data science.

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Consultant

Consultants work with clients to solve business problems and improve performance. They use their expertise to identify opportunities for improvement and develop solutions. This course may be helpful for Consultants who want to learn more about identifying and understanding business problems.

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Software Engineer

Software Engineers design, develop, test, and maintain software systems. They work with other engineers and stakeholders to understand requirements, develop solutions, and deliver high-quality software products. This course may be useful for Software Engineers, especially those working in data-driven organizations.

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Identifying and Understanding Business Problems for Data Scientists

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