Foundations of Business Intelligence from Coursera

This is the first of three courses in the Google Business Intelligence Certificate, which will help develop the skills needed to apply for entry-level roles as a business intelligence (BI) professional. People who work in BI help organizations access the right data, use data to help businesses grow and improve, and put insights into action. In this course, you’ll discover the role of BI professionals within an organization and explore BI tools you can use on the job.

Google employees who currently work in BI will guide you through this course by providing hands-on activities that simulate job tasks, sharing examples from their day-to-day work, and helping you build business intelligence skills to prepare for a career in the field.

Learners who complete the three courses in this certificate program will have the skills needed to apply for business intelligence jobs. This certificate program assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate.

By the end of this course, you will:

-Make key distinctions between business intelligence (BI) and data analysis

-Explore how data is used in business processes and decision-making

-Describe ways that BI professionals impact their organizations

-Identify the uses and benefits of BI tools, including data models, pipelines, data visualizations, and dashboards

-Acquire, manipulate, and integrate data using key BI concepts

-Select and define metrics that are relevant to project goals and stakeholder questions

-Develop and execute a BI project by working with stakeholders to determine project requirements, execute tasks, and deliver insights that guide decision-making

What's inside

Syllabus

Data-driven results through business intelligence

Begin learning about business intelligence and the roles of BI analysts and engineers within organizations. You’ll discover the tools and techniques BI professionals use to make business decisions and improve processes. In addition, you’ll explore the similarities and differences between BI and data analytics.

Business intelligence tools and techniques

Explore the BI process, which involves engaging with stakeholders, using tools to make the most of available data, and applying the power of rapid monitoring to make smart business decisions. In addition, you’ll start building career resources by enhancing your online presence, developing strategies for networking and mentorship, and creating a portfolio that will impress future hiring managers.

Context is crucial for purposeful insights

Consider the importance of context from a BI perspective. You’ll explore data limitations, including how to address constant changes and access big-picture insights in a timely manner. You’ll also discover strategies that BI professionals use to anticipate and overcome these limitations. Finally, you’ll develop an understanding of how context influences metrics.

Course 1 end-of-course project

Finally, you’ll complete an end-of-course project. The project is an opportunity to apply the skills and knowledge you developed during this course in a workplace scenario. For this project, you’ll prepare project planning documents and solve a business problem using BI.

Good to know

Know what's good

, what to watch for

, and possible dealbreakers

Builds a strong foundation for beginners in business intelligence, suitable for those seeking entry-level business intelligence roles

Taught by Google employees who currently work in business intelligence, providing practical insights and real-world examples

Develops skills in identifying relevant metrics, acquiring, manipulating, and integrating data, and using key business intelligence concepts

Covers essential business intelligence tools such as data models, pipelines, data visualizations, and dashboards

Assumes prior knowledge of foundational analytical principles, skills, and tools, as covered in Google Data Analytics Certificate

May require additional knowledge and skills for learners with no background in business intelligence or data analysis

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 Foundations of Business Intelligence with these activities:

Review SQL基礎

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ブラッシュアップすることで、コースのデータベース関連の概念をより深く理解できるようになります。

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SQLの基本構文を確認する
簡単なSQLクエリを作成して練習する

Tableau入門チュートリアル

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Tableauの基礎を学ぶことで、データビジュアライゼーションのスキルを向上させられます。

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Tableauのインターフェイスを探索する
基本的なデータ接続とビジュアライゼーションを作成する

Participate in online coding challenges

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Reinforce your understanding of data visualization techniques and tools by completing coding challenges and exercises found online.

Browse courses on Data Visualization

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Identify online coding challenge platforms
Select challenges relevant to data visualization
Solve challenges using appropriate techniques and tools
Review and analyze your solutions

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Career center

Learners who complete Foundations of Business Intelligence will develop knowledge and skills that may be useful to these careers:

Business Intelligence Analyst

A Business Intelligence Analyst is tasked with analyzing an organization's data and using it to improve business processes. This course may help build a foundation for a career in this field, as it helps learners gain experience with data analysis tools and techniques, data visualization, and storytelling.

See salaries and explore the career path for Business Intelligence Analyst

Data Analyst

Data Analysts study, clean, and analyze data to uncover trends and patterns. Coursework in data analysis tools, data visualization, and storytelling will help prepare learners for a career in this field.

See salaries and explore the career path for Data Analyst

Business Intelligence Engineer

Business Intelligence Engineers design, develop, and maintain the systems and tools that organizations use to collect, store, and analyze data. Experience with data modeling, data pipelines, and data visualization will be useful for those looking to become a Business Intelligence Engineer.

See salaries and explore the career path for Business Intelligence Engineer

Data Scientist

Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data. This course may be helpful for those seeking a data science career by helping them build a foundation in data analysis, machine learning, and data visualization.

See salaries and explore the career path for Data Scientist

Data Architect

Data Architects design and manage an organization's data infrastructure, ensuring that data is stored, organized, and accessible in a way that meets the needs of the business. This course will be helpful for those who want to pursue a career in data architecture by providing them with a foundation in data modeling, data integration, and data governance.

See salaries and explore the career path for Data Architect

Product Manager

Product Managers define the vision for a product and lead the team that develops and brings it to market. This course may be helpful for aspiring Product Managers as it provides experience with data analysis, data visualization, and storytelling. These skills will help them make data-driven decisions and communicate their vision to stakeholders.

See salaries and explore the career path for Product Manager

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze data and make predictions. This course may be helpful for those looking to enter this field, as it will provide them with a foundation in data analysis, modeling, and forecasting.

See salaries and explore the career path for Quantitative Analyst

Statistician

Statisticians collect, analyze, interpret, and present data. They use their skills to solve problems and make informed decisions. This course may be helpful for those looking to become a Statistician, as it provides experience with data analysis, statistical modeling, and data visualization.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical techniques to improve the efficiency and effectiveness of organizations. This course may be helpful for those looking to enter this field, as it provides experience with data analysis, modeling, and optimization.

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Market Research Analyst

Market Research Analysts study market trends and customer behavior to help businesses make informed decisions. This course may be helpful for those looking to enter this field, as it provides experience with data analysis, survey design, and data visualization.

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Financial Analyst

Financial Analysts use data analysis techniques to make investment recommendations and evaluate financial performance. This course may be helpful for those looking to enter this field, as it provides experience with data analysis, financial modeling, and data visualization.

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Business Consultant

Business Consultants help organizations improve their performance by providing advice and guidance. This course may be helpful for aspiring Business Consultants as it provides experience with data analysis, problem-solving, and communication.

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Management Consultant

Management Consultants help organizations improve their performance by providing advice and guidance. This course may be helpful for aspiring Management Consultants as it provides experience with data analysis, problem-solving, and communication.

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Data Engineer

Data Engineers design, build, and maintain the systems and infrastructure that store and process data. This course may be helpful for those looking to enter this field, as it provides experience with data modeling, data integration, and data warehousing.

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Software Engineer

Software Engineers design, develop, and maintain software systems. This course may be helpful for those looking to enter this field, as it provides experience with data analysis, data visualization, and data management.

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