Google Business Intelligence
Ceicate
Key Competencies & Job Mapping
Developing talent for in-demand jobs
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GOOGLE BUSINESS INTELLIGENCE CERTIFICATE
The Google Business Intelligence Ceicate teaches
learners how to create processes and information channels
that transform data into actionable insights to inform
business decisions.
Designed for people working in the eld of data analytics or
graduates of the Google Data Analytics Ceicate program,
this stackable credential helps learners enhance their
technical skills with tools like BigQuery, SQL, and Tableau
and unlock more oppounities for career progression.
166K+
job openings in business
intelligence
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$96K+
median salary in business
intelligence
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THE GOOGLE BUSINESS INTELLIGENCE CERTIFICATE
PREPARES LEARNERS FOR IN-DEMAND JOBS SUCH AS:
● Business intelligence analyst
● Business intelligence engineer
● Business intelligence developer
● Business data analyst
GOOGLE CAREER CERTIFICATES
Google Career Ceicates provide learners with the skills they
need to apply for more than 2.0 million in-demand jobs across
the elds of data analytics, digital marketing & e-commerce, IT
suppo, project management, and user experience (UX)
design, with a median salary of $72,000.
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These ceicates are taught and developed by Google
employees working in these elds; they are hands-on,
practical, and rigorous. At under 10 hours per week, you can
complete the ceicate in less than six months. 75% of
ceicate graduates repo a positive career outcome (e.g.,
new job, promotion, or raise) within six months of completion.
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Lightcast™ US Job Postings (Last 12 Months: Jan. 1, 2022 - Dec. 31, 2022)
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Based on program graduate survey, United States 2022
Program Overview
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___________________________________________________________
CONTENT BREAKDOWN:
112
Videos
115
Readings
32
Quizzes
21
Hands-on activities
Upon completing the Google Business Intelligence
Ceicate, program graduates will:
● Explore the roles of business intelligence (BI)
professionals within an organization
● Practice data modeling and extract, transform, load
(ETL) processes that meet organizational goals
● Design data visualizations that answer business
questions
● Create dashboards that eectively communicate data
insights to stakeholders
Course 1
Foundations of Business Intelligence
Course 2
The Path to Insights: Data Models and Pipelines
Course 3
Decisions, Decisions: Dashboards and Repos
Tableau
Business Analysis
Business Intelligence Extract, Transform,
Load data
Dashboarding
& Repoing
Visualizations
Course 1 — Foundations of Business Intelligence
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SKILLS ACQUIRED:
❏ Stakeholder management
❏ Business processes and requirements
❏ Cross-functional team dynamics
❏ Asking eective questions
❏ Sharing insights and ideas with
stakeholders
This is the rst of three courses in the Google Business
Intelligence Ceicate, 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, learners will discover the
role of BI professionals within an organization and explore BI tools
used on the job.
By the end of this course, learners will be able to:
● 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 benets of BI tools, including data
models, pipelines, data visualizations, and dashboards
● Acquire, manipulate, and integrate data using key BI
concepts
● Select and dene 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
TOPICS:
★ Data-driven results through business intelligence
★ Business intelligence tools and techniques
★ Context is crucial for purposeful insights
★ Course 1 end-of-course project
CONTENT BREAKDOWN:
31 Videos
38 Readings
12 Quizzes
3 Hands-on activities
Course 2 — The Path to Insights: Data Models and Pipelines
5
SKILLS ACQUIRED:
❏ Extract, Transform, Load (ETL)
❏ Data Management
❏ Data Transformation
❏ Database Optimization
❏ Google Dataow/Google BigQuery
This is the second of three courses in the Google Business
Intelligence Ceicate. In this course, learners explore data
modeling and how databases are designed. They’ll also learn
about extract, transform, load (ETL) processes which extract data
from source systems, transform it into formats that enable
analysis, and drive business processes and goals.
By the end of this course, learners will be able to:
● Determine which data models are appropriate for
dierent business requirements
● Describe the dierence between creating and interacting
with a data model
● Create data models to answer dierent types of
questions
● Explain the pas of the extract, transform, load (ETL)
process and tools used in ETL
● Understand extraction processes and tools for dierent
data storage systems
● Design an ETL process that meets organizational and
stakeholder needs
● Design data pipelines to automate BI processes
TOPICS:
★ Data models and pipelines
★ Dynamic database design
★ Optimization of ETL processes
★ Course 2 end-of-course project
CONTENT BREAKDOWN:
37 Videos
41 Readings
15 Quizzes
8 Hands-on activities
Course 3 — Decisions, Decisions: Dashboards and Repos
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SKILLS ACQUIRED:
❏ Data visualizations
❏ Dashboarding and repoing
❏ Presenting data insights
❏ Eective communication
❏ Tableau
This is the third and nal course in the Google Business Intelligence
Ceicate. In this course, learners apply their understanding of
stakeholder needs, plan and create BI visuals, and design repoing
tools, including dashboards. They’ll also explore how to answer
business questions with exible and interactive dashboards that
can monitor data over long periods of time.
By the end of this course, learners will be able to:
● Explain how BI visualizations answer business questions
● Identify complications that may arise during the creation of
BI visualizations
● Produce chas that represent BI data monitored over time
● Use dashboard and repoing tools
● Build dashboards using best practices to meet stakeholder
needs
● Iterate on a dashboard to meet changing project
requirements
● Design BI presentations to share insights with stakeholders
● Create or update a resume and prepare for BI interviews
TOPICS:
★ BI visualization design techniques
★ Tips for data automation and monitoring
★ Communication of BI insights to stakeholders
★ Course 3 end-of-course project
★ Career resources to establish yourself as a BI
professional
CONTENT BREAKDOWN:
44 Videos
36 Readings
9 Quizzes
10 Hands-on activities
