SQL for Data Extraction and Analysis

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SQL for Data Extraction and Analysis

Coursera · Intermediate ·📊 Data Analytics & Business Intelligence ·2d ago

Key Takeaways

Extracts and analyzes business data using practical SQL skills for data analysis

Original Description

Build practical SQL skills that help you extract, combine, and interpret business data for analysis. In this course, you’ll develop hands-on experience used in roles such as data analyst, business analyst, reporting analyst, operations analyst, and junior BI analyst. You’ll practice writing SQL queries to answer business questions, retrieving data from source tables and data warehouses, calculating business metrics from technical specifications, and joining related tables to create analysis-ready datasets. This is a non-traditional, skill-based learning experience organized around real workplace tasks instead of a fixed lecture sequence. It’s designed to reflect responsibilities you may see in job descriptions, from pulling ad hoc data for stakeholder requests to querying fact and dimension tables and updating records in a database. You can personalize your path based on what you already know, focus on the skills you need most, and skip content when it’s not necessary. The course curates high-quality lessons from expert instructors, selecting the strongest content for each skill so you can build practical, career-relevant SQL experience. By the end, you’ll be able to write queries to extract data for specific analysis requests, answer well-defined business questions with ad hoc SQL, calculate business metrics, combine related tables with joins, work with fact and dimension tables in a data warehouse, and use basic data manipulation language commands to manage database records. This course is a strong fit if you’re new to SQL or have basic experience with spreadsheets, data, or business reporting.
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