Data Analysis with Databricks SQL Course Overview

To ensure a successful learning experience in the Data Analysis with Databricks SQL course, the following minimum prerequisites are recommended:

• Basic understanding of SQL: Familiarity with the fundamental concepts of SQL, such as writing simple SELECT statements, WHERE clauses, and basic functions (e.g., COUNT, SUM, AVG).

  
  

• Fundamental knowledge of data structures: An understanding of how data can be stored and organized in tables.

  
  

• Basic familiarity with data processing concepts: Awareness of how data can be manipulated and analyzed to derive insights.

  
  

• An introductory-level understanding of big data and distributed computing concepts: Knowing the challenges and opportunities of working with large datasets.

  
  

• Some experience with any programming or scripting language: While not mandatory, having experience with a language like Python can be beneficial, as it may be used in conjunction with Databricks.

  
  

• Willingness to learn: A genuine interest in learning how to use Databricks SQL for data analysis, and a commitment to following through with the hands-on lab exercises.

  
  

Please note that while these prerequisites are meant to provide a foundation for the course, the training is designed to accommodate learners with varying levels of prior experience. The course will include comprehensive lessons to help bridge any knowledge gaps and provide a full understanding of the subject matter.

Target Audience for Data Analysis with Databricks SQL

Learn to harness the power of Databricks SQL for efficient data analysis, visualization, and stakeholder communication, ideal for data-driven professionals.

• Data Analysts
• Business Intelligence Professionals
• Data Engineers
• Data Scientists
• SQL Developers
• IT Managers overseeing data teams
• Database Administrators looking to expand their skill set
• Professionals in data-heavy roles seeking to leverage Databricks for insights
• Technical Product Managers
• System Architects planning data solutions
• Data Analytics Consultants

Learning Objectives - What you will Learn in this Data Analysis with Databricks SQL?

Introduction to Course Learning Outcomes

Gain practical skills in data analysis using Databricks SQL, from understanding core concepts to creating insightful dashboards and effectively notifying stakeholders.

Learning Objectives and Outcomes

• Module 1: Databricks SQL Overview

  • Understand the architecture and capabilities of Databricks SQL.
  • Learn how Databricks SQL simplifies data analysis and collaboration in the cloud.

• Module 2: Tables and Views

  • Master the creation and management of tables and views in Databricks SQL.
  • Explore best practices for structuring and optimizing data storage.

• Module 3: Ingesting Data

  • Learn methods for data ingestion into Databricks SQL environments.
  • Develop skills to handle various data formats and sources.

• Module 4: Delta Commands in Databricks SQL

  • Understand the role of Delta Lake in Databricks SQL.
  • Acquire knowledge of key Delta commands for data manipulation and management.

• Module 5: Data Visualization and Dashboards

  • Create compelling visualizations that convey data stories effectively.
  • Gain proficiency in building and customizing interactive dashboards.

• Module 6: Notifying Stakeholders

  • Develop strategies for automating notifications to stakeholders.
  • Learn to use Databricks SQL features to schedule and send data-driven alerts.

• Module 7: Final Lab Assessment

  • Apply the skills learned throughout the course in a comprehensive lab assessment.
  • Demonstrate proficiency in data analysis and reporting using Databricks SQL.

These objectives are designed to equip learners with the necessary tools and techniques to excel in data analysis within the Databricks environment, ensuring they can derive insights, make informed decisions, and effectively communicate findings to relevant stakeholders.