Basic Professional Data Analysis

Group Category: Use Case

Product Category: Database Design & Development

Sub Category: PostgreSQL

Get started with real-world SQL by analyzing professional data quality, completeness, and structure.

Business Overview:

Basic Professional Data Analysis is the perfect entry point for those beginning their journey in SQL and data analysis. Designed for learners, interns, and junior analysts, this SQL-based project walks you through foundational tasks such as counting records, checking data completeness, validating IDs, and assessing data quality. Using a PostgreSQL-compatible dataset of 13 relational tables, you’ll perform simple yet meaningful queries that help build core skills in regulatory data contexts. It’s a practical way to learn SQL while analyzing actual business scenarios in the financial services sector.

Product Highlights:

  • A beginner-friendly PDF guide featuring 5 SQL-based foundational use cases
  • Hands-on SQL practice for data completeness, validation, and source tracking
  • Based on PostgreSQL datasets with real-world schema structure
  • Great for early learners, data interns, or junior analysts building confidence
  • Useful for portfolios, bootcamp practice, or basic audit prep

Learning Outcome:

By completing these use cases, you’ll gain skills in:

  • Writing basic SQL queries with SELECT, GROUP BY, and COUNT
  • Validating primary key uniqueness and detecting duplicates
  • Checking for null or missing data in key fields
  • Understanding source file distribution and data origin tracking
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individuals_raw
individuals_raw
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This dataset contains raw profile data of financial professionals, serving as a foundational input for SQL-based analysis.

  • Includes key fields like first name, last name, middle name, suffix, registration status, professional ID, and data source.
  • Enables use cases such as name completeness checks, active registration tracking, ID validation, and source file analysis.
  • Supports data quality assessment, regulatory reporting, and compliance analytics.
  • Ideal for use in beginner to intermediate SQL tasks focused on data structure, filtering, and aggregation.
  • Acts as the core reference table for linking to other datasets in broader financial compliance projects.
Basic Professional Data Analysis

$2.00 $1.25 37% OFF

Topics: SQL, PostgreSQL, Data Quality Analysis

Languages: English

Skills: Basic SQL, Data Validation, Primary Key Analysis, Data Completeness, Source Tracking

Business Domain: Financial Data Management

Level: Beginner

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