Learn about the capabilities of Data Studio for exploratory data analytics.
- [Instructor] What is Google Data Studio?…Simply put, it is a tool that allows you…to create and design dashboards and reports.…It is helpful for creating pre-canned reports…that are executed periodically and distributed.…You simply drag and drop items…and edit properties to create a report.…Thankfully, there is no programming required.…Data Studio has integrations with data sources in GCP,…like BigQuery and Cloud Storage,…which makes it easy to pull data from these sources…for building reports.…
It is also useful for creating metrics and formulae…based on raw data.…This helps to enhance data analytics capabilities.…Data Studio has collaboration features between teams.…Team members can share their reports…and dashboards with one another…for collaborating during analytics projects.…What are the strengths of Data Studio?…First, there is no programming skills needed,…and a nontechnical analyst can use this tool with ease.…
It has excellent integrations with other GCP data sources.…You can create canned reports…that can be executed regularly.…
- Setting up Cloud DataLlb for exploratory data analytics
- Segmentation and profiling
- Reading and writing data from BigQuery
- Managing cloud storage buckets
- Creating visualizations of BigQuery data with the GCP Charting API
- Managing Datalab instances
Skill Level Intermediate
Predictive Customer Analyticswith Kumaran Ponnambalam1h 37m Intermediate
1. Exploration Options in GCP
2. Cloud Datalab Basics
3. Datalab: BigQuery
4. Datalab: Cloud Storage
5. Datalab: Visualizations
6. EDA with GCP: Use Case
7. Managing Datalab
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