Google Business Intelligence

Overview

Get professional training designed by Google and take the next step in your career with advanced skills in the high-growth field of business intelligence. There are over 84,000 open jobs in business intelligence with a median salary of $101,000+ in the U.S.1 Business intelligence professionals collect, organize, interpret, and report on data to help organizations make informed business decisions.

Some responsibilities include measuring performance, tracking revenue or spending, and monitoring progress. This certificate builds on your data analytics skills and experience to take your career to the next level.

It's designed for graduates of the Google Data Analytics Certificate or people with equivalent data analytics experience. Expand your knowledge with practical, hands-on projects, featuring BigQuery, SQL, and Tableau.

After three courses, you’ll be prepared for jobs like business intelligence analyst, business intelligence engineer, business intelligence developer, and more. At under 10 hours a week, the certificate program can be completed in less than two months.

Upon completion, you can apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, and Verizon. 75% of certificate graduates report a positive career outcome (e.g., new job, promotion or raise) within six months of completion2 ¹Lightcast™ U.S. Job Postings (2024:

Jan. 1, 2024 - Dec. 31, 2024) 2Based on program graduate survey responses, US 2022

Syllabus

• **Introduction to Business Intelligence**
Overview of Business Intelligence (BI) and its importance
Career opportunities in BI
Tools and technologies in BI
• **Module 1: Data Collection and Organization**
Using SQL for data collection
Data warehousing concepts
Introduction to Google BigQuery
Practical exercises with SQL and BigQuery
• **Module 2: Data Interpretation and Analysis**
Data visualization principles
Introduction to Tableau for data visualization
Building dashboards and reports in Tableau
Analyzing business metrics and KPIs
• **Module 3: Advanced BI Techniques**
Data mining and pattern recognition
Predictive analytics and forecasting
Case studies: BI in real-world scenarios
Group project: Comprehensive BI analysis
• **Module 4: Reporting and Decision-Making**
Building effective reports for stakeholders
Communicating insights and data-driven decisions
Ethical considerations and data privacy in BI
• **Capstone Project**
Hands-on project using BigQuery, SQL, and Tableau
Present findings in a comprehensive report and presentation
• **Career Development**
Resume building and interview preparation
Networking and applying for positions in BI
Insights into working with top companies like Google, Deloitte, and Target

Taught by

Google Career Certificates

Subjects

Business