Databricks Certified Data Analyst Associate
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Databricks Certified Data Analyst Associate at Databricks Overview
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Databricks Certified Data Analyst Associate at Databricks Highlights
- Highly Experienced instructors
- Earn a Certification through examination after successful completion
- Doubt support sessions available
Databricks Certified Data Analyst Associate at Databricks Course details
- The certification exam will assess the tester’s ability to use SQL.
- In all cases, the SQL in this certification exam adheres to ANSI SQL standards
- The Databricks Certified Data Analyst Associate certification exam assesses an individual’s ability to use the Databricks SQL service to complete introductory data analysis tasks
- This includes an understanding of the Databricks SQL service and its capabilities, an ability to manage data with Databricks tools following best practices, using SQL to complete data tasks in the Lakehouse
- Individuals who pass this certification exam can be expected to complete basic data analysis tasks using Databricks SQL and its associated capabilities.
- Testers are able to retake the exam as many times as they would like, but they will need to pay $200 for each attempt.
Databricks Certified Data Analyst Associate at Databricks Curriculum
Databricks SQL
Describe the key audience and side audiences for Databricks SQL.
Describe that a variety of users can view and run Databricks SQL dashboards as stakeholders.
Data Management
Describe Delta Lake as a tool for managing data files.
Describe that Delta Lake manages table metadata.
SQL
Identify a query that retrieves data from the database with specific conditions
Identify the output of a SELECT query
Data Visualization and Dashboards
Create basic, schema-specific visualizations using Databricks SQL.
Identify which types of visualizations can be developed in Databricks SQL (table, details,
counter, pivot).
Analytics Applications
Compare and contrast discrete and continuous statistics.
Describe descriptive statistics.
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