SQL for Analysts

Skill Goal:

Develop a strong understanding of relational databases and how SQL supports business analysis.

Skills Developed:

• Explain what relational databases are and how they store structured data

• Identify key database components such as tables, rows, columns, and schemas

• Understand how SQL enables business data retrieval and reporting

• Install SQL Server and configure SQL Server Management Studio (SSMS)

• Navigate database objects and explore sample business datasets

Sprint Outcome:

Ability to understand relational database structure and confidently navigate SQL environments for business data analysis.

Skill Goal:

Retrieve business data efficiently using structured SQL queries.

Skills Developed:

• Create tables and define appropriate data types

• Write SELECT queries to retrieve business data

• Apply filtering using WHERE conditions

• Sort results using ORDER BY

• Understand how SQL queries support operational and reporting workflows

Sprint Outcome:

Ability to write SQL queries to retrieve, filter, and organize business data for analysis and reporting.

Skill Goal:

Integrate data from multiple tables to perform meaningful business analysis.

Skills Developed:

• Understand relational keys and table relationships

• Apply INNER JOIN to combine related tables

• Use LEFT and RIGHT JOIN to analyze incomplete or missing data relationships

• Interpret joined datasets for business reporting

• Build multi-table queries used in real-world analytics

Sprint Outcome:

Ability to combine multiple datasets using joins to produce integrated business reports and analytical insights.

Skill Goal:

Perform analytical summaries and extract business insights using SQL aggregation functions.

Skills Developed:

• Apply aggregate functions such as SUM, COUNT, AVG, MIN, and MAX

• Use GROUP BY to summarize business data

• Filter grouped results using HAVING

• Write subqueries for layered analysis

• Analyze datasets such as sales, finance, or operations data

Sprint Outcome:

Ability to summarize datasets and generate analytical insights using SQL aggregation and grouping techniques.

Skill Goal:

Understand how to safely modify data and maintain reliable database structures.

Skills Developed:

• Insert new data using INSERT statements

• Update existing records using UPDATE queries

• Remove records using DELETE operations

• Apply constraints such as primary keys and foreign keys

• Create views for reusable reporting queries

Sprint Outcome:

Ability to safely modify business data and maintain database integrity using SQL best practices.

Skill Goal:

Create SQL queries that generate key business metrics and operational reports.

Skills Developed:

• Calculate business KPIs using SQL queries

• Generate reports for sales, finance, and operations datasets

• Write analytical queries to support dashboards

• Structure SQL outputs for reporting tools

• Translate business questions into analytical SQL queries

Sprint Outcome:

Ability to calculate business metrics and generate SQL-based reports that support business decision-making.

Skill Goal:

Understand how SQL analysis fits into business analysis workflows and project environments.

Skills Developed:

• Understand the role of Business Analysts in data-driven projects

• Recognize SDLC phases and project lifecycle stages

• Map SQL analysis tasks to business requirements

• Document analytical requirements and reporting needs

• Communicate analytical findings to stakeholders

Sprint Outcome:

Ability to align SQL analysis with business requirements and contribute effectively to data-driven projects.

Skill Goal:

Apply SQL to validate data quality and solve practical business data challenges.

Skills Developed:

• Write SQL queries to validate data accuracy and completeness

• Identify data inconsistencies and mismatches

• Perform data validation scenarios using SQL

• Apply SQL best practices for clean and efficient queries

• Solve real-world business reporting and analysis problems

Sprint Outcome:

Ability to apply SQL skills to real-world datasets, ensuring accurate data validation and reliable analytical outputs.

Project Goal:

Analyze a real-world business dataset and generate actionable insights using SQL.

Skills Demonstrated:

• Analyze a real-world business scenario provided in the course

• Understand the defined business objective and reporting requirements

• Retrieve relevant datasets using structured SQL queries

• Combine multiple tables using joins

• Perform aggregation and summarization for business insights

• Calculate key business metrics and KPIs

• Validate data accuracy and identify inconsistencies

• Generate SQL-based reports for business stakeholders

• Present actionable data-driven recommendations