I am preparing for the data analyst exam and I need as many resources as I can get to fully prepare. Hands-on labs will be welcome as well
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12-06-2022 07:45 AM
I am preparing for the data analyst exam and I need as many resources as I can get to fully prepare. Hands-on labs will be welcome as well
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Data
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Data Analyst
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12-06-2022 08:01 AM
Please check the data analyst path on Academy https://customer-academy.databricks.com/learn/lp/78/data-analyst-learning-plan
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12-06-2022 11:42 AM
yes refer the databricks documentation , you will easily get the proper learning plan
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12-09-2022 08:53 AM
Hi,
Kindly refer to the materials below:
Video
Webinar Slides
Resources Doc
GIT data-analysis-with-databricks-sql
https://databricks-academy.github.io/data-analysis-with-databricks-sql/v1.1.4/
Book
https://www.amazon.com/Business-Intelligence-Databricks-SQL-intelligence/dp/1803235330
The book is not necessary but can improve your knowledge to the test.
I hope that it helps you.
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12-10-2022 07:30 AM
this is amazing ,thanks
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12-06-2022 09:15 AM
Best resource is the one databricks training academy is providing. You can clear easily using that alone.
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12-09-2022 08:53 AM
Hi,
Kindly refer to the materials below:
Video
Webinar Slides
Resources Doc
GIT data-analysis-with-databricks-sql
https://databricks-academy.github.io/data-analysis-with-databricks-sql/v1.1.4/
Book
https://www.amazon.com/Business-Intelligence-Databricks-SQL-intelligence/dp/1803235330
The book is not necessary but can improve your knowledge to the test.
I hope that it helps you.
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12-07-2022 01:00 AM
Please refer below topics that may help you in exam-
- Describe Databricks SQL and its capabilities, including:
- Databricks SQL (users, benefits, queries, dashboards, compute)
- Integrations (Partner Connect, data ingestion, other BI tools)
- Lakehouse (medallion architecture, streaming data)
- Manage data with Databricks tools and best practices, including:
- Delta Lake (basics, benefits)
- Storage and Management (tables, databases, views, Data Explorer)
- Security (table ownership, PII data)
- Use Structured Query Language (SQL) to complete tasks in the Lakehouse, including:
- Basic SQL (basic query structure, combining data, aggregations)
- Complex Data (nested data objects, roll-ups, windows, cubes)
- SQL in the Lakehouse (ANSI SQL, working with silver-level data, query history, higher-order functions, user-defined functions)
- Create production-grade data visualizations and dashboards, including:
- Visualization (Databricks SQL capabilities, types of visualizations, storytelling with data)
- Dashboarding (Databricks SQL capabilities, parameterized dashboards and queries, sharing)
- Production (refresh schedules, query alerts)
- Develop analytics applications to solve common data analytics problems, including:
- Descriptive Statistics (discrete statistics, summary statistics)
- Common Applications (data enhancement, data blending, last-mile ETL)
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12-09-2022 08:52 AM
Hi,
Kindly refer to the materials below:
Video
Webinar Slides
Resources Doc
GIT data-analysis-with-databricks-sql
https://databricks-academy.github.io/data-analysis-with-databricks-sql/v1.1.4/
Book
https://www.amazon.com/Business-Intelligence-Databricks-SQL-intelligence/dp/1803235330
The book is not necessary but can improve your knowledge to the test.
I hope that it helps you.
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12-09-2022 03:37 AM
Hi,
Kindly refer to the materials below:
Video
Webinar Slides
Resources Doc
GIT data-analysis-with-databricks-sql
https://databricks-academy.github.io/data-analysis-with-databricks-sql/v1.1.4/
Book
https://www.amazon.com/Business-Intelligence-Databricks-SQL-intelligence/dp/1803235330
The book is not necessary but can improve your knowledge to the test.
I hope that it helps you.

