The SQL for Data Analysis Certified Course is designed to equip you with the essential skills to efficiently extract, manipulate, and analyze data from relational databases. This course focuses on building a strong foundation in SQL queries, database management, and data analytics techniques, empowering you to make data-driven decisions. You will learn to handle large datasets, perform complex joins, aggregations, filtering, and reporting, as well as gain hands-on experience with real-world datasets. Ideal for aspiring data analysts, business analysts, and anyone looking to enhance their data analysis capabilities, this course bridges the gap between raw data and actionable insights.
Module 1: Introduction to SQL & Databases Understanding databases and relational database concepts Overview of SQL and its importance in data analysis Database types: OLTP vs OLAP Setting up your SQL environment.
Module 2: Basic SQL Queries SELECT statements and basic filtering Sorting data using ORDER BY Using DISTINCT to remove duplicates Basic data types and constraints.
Module 3: Advanced SQL Queries WHERE clause with logical operators Pattern matching with LIKE Using IN, BETWEEN, and NULL conditions Conditional statements with CASE.
Module 4: Aggregations & Grouping Data COUNT, SUM, AVG, MIN, MAX functions GROUP BY and HAVING clauses Combining aggregation with filtering Real-world examples for business insights.
Module 5: Joins & Subqueries INNER, LEFT, RIGHT, FULL joins Self-joins and cross joins Subqueries: correlated vs non-correlated Combining multiple tables for analysis.
Module 6: Data Manipulation & Management INSERT, UPDATE, DELETE operations Data integrity with primary & foreign keys Indexing and constraints Database normalization basics.
Module 7: Advanced SQL Functions String functions, date functions, and numeric functions Window functions (ROW_NUMBER, RANK, etc.) CTEs (Common Table Expressions) and temporary tables Using functions for data transformation.
Module 8: Data Cleaning & Preparation Handling missing or inconsistent data Removing duplicates and formatting data Using SQL for data validation Preparing datasets for reporting and visualization.
Module 9: Reporting & Data Analysis Creating reports using SQL queries Integrating SQL with Excel, Tableau, or Power BI Data visualization basics Case studies for business decision-making.
Module 10: Real-World Projects & Capstone Analyzing sales data for insights Customer behavior analysis project Financial data reporting and KPI tracking Capstone project combining multiple SQL skills.
Mobile: 9100348679
Email: coursedivine@gmail.com
You cannot copy content of this page
