
Data to Decisions: BigQuery and Looker Action
This one-day, led by our Nikita Matatov, course is designed for data analysts, business users, and decision makers who want to harness the power of Google Cloud’s BigQuery and Looker for data-driven insights. Participants will explore core and advanced capabilities of BigQuery, learn how to structure and organize data effectively, and gain hands-on experience turning raw data into actionable business intelligence with Looker.
📆 September 17th, 2025
⏱️ 9:00-16:00 Training + Hands-on session
📍Google Haifa – Matam 30, floor 11
🗣️ In Hebrew
💻 Laptops are required
Key Modules:
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- Introduction – Welcome, course structure, and learning objectives.
- Introduction to BigQuery for Data Analysts – Learn how to connect, query, and manage datasets efficiently.
- Derive Insights from Your Data with BigQuery – Explore advanced querying techniques and extract meaningful patterns.
- Advanced Features in BigQuery Studio – Hands-on practice with advanced functionality to optimize analysis.
- BigQuery Data Organization – Best practices for structuring and managing data at scale.
- Make Data-Driven Decisions Using Looker – Discover how to transform data into business value with interactive dashboards and insights.
- Use Looker to Analyze and Chart Data – Build compelling visualizations and reports that drive organizational impact.
Training Approach:
- Hands–on Labs: Participants engage with practical tasks using Google Cloud tools.
- Business Focus: Aimed at a tech-adjacent audience—content is presented in a non-intimidating, inspiring way, avoiding heavy technical jargon.
- Interactive Sessions: Activities include brainstorming, industry-focused discussions, and group exercises.
- Customization: Content and examples can be adjusted to align with a specific industry’s challenges and opportunities.
Outcomes:
Participants leave with a clear understanding of how to leverage BigQuery and Looker for end-to-end data analysis and visualization. They gain practical experience with Google Cloud’s data tools, learn best practices for organizing and querying data, and develop the confidence to apply data-driven decision-making in their organizations.