Google Looker

1. Data Connectivity: Connect to various data sources, including databases, data warehouses, and cloud services.

2. Data Modeling: Build and customize data models to organize and structure data for analysis.

3. Interactive Dashboards: Create interactive and customizable dashboards to visualize data and track key metrics.

4. Reporting and Visualization: Generate reports and visualizations such as charts, graphs, and maps to uncover insights from data.

Before learning Google Looker, it's beneficial to have the following skills:

1. Data Analysis: Understanding of basic data analysis concepts and techniques.

2. SQL Knowledge: Familiarity with Structured Query Language (SQL) for querying and manipulating data.

3. Data Modeling: Knowledge of data modeling principles to organize and structure data effectively.

4. Business Intelligence Concepts: Understanding of business intelligence concepts and methodologies.

By learning Google Looker, you gain the following skills:

1. Data Analysis: Analyze and interpret data to derive actionable insights and make data-driven decisions.

2. Data Visualization: Create visually appealing and informative dashboards and reports to present data effectively.

3. Business Intelligence: Utilize Looker's BI capabilities to gain insights into business performance and trends.

4. Data Modeling: Build and customize data models to organize and structure data for analysis.