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CYC ANALYTICS
Home
DATA ANALYTICS
  • Data
  • Class Day Preview
  • About Us
  • Course Details
  • Project Based Mentorship
  • Students Reviews
  • Contact Us
PROJECT MANAGEMENT
  • PROJECT CONTROLS
  • PROGRAM DETAILS
  • ENROLL
  • CURRICULUM
  • JOIN FREE WEBINAR
More
  • Home
  • DATA ANALYTICS
    • Data
    • Class Day Preview
    • About Us
    • Course Details
    • Project Based Mentorship
    • Students Reviews
    • Contact Us
  • PROJECT MANAGEMENT
    • PROJECT CONTROLS
    • PROGRAM DETAILS
    • ENROLL
    • CURRICULUM
    • JOIN FREE WEBINAR

  • Home
  • DATA ANALYTICS
    • Data
    • Class Day Preview
    • About Us
    • Course Details
    • Project Based Mentorship
    • Students Reviews
    • Contact Us
  • PROJECT MANAGEMENT
    • PROJECT CONTROLS
    • PROGRAM DETAILS
    • ENROLL
    • CURRICULUM
    • JOIN FREE WEBINAR

SQL COURSE DETAILS

In 5 weeks, you will take an interactive, beginner friendly, and hands-on course designed to teach you SQL Data Analysis from scratch. 

Learn Relational Databases, Database and Table creation and modification, Data Manipulation, Simple to Complex Select Queries, Joins and Unions, Nested Queries, Views & More.

NO PRIOR EXPERIENCE NEEDED!!!

COURSE CURRICULUM >

Payment can be submitted in full or using a Bi-weekly Payment Plan. Click below to open the payment plan option. 

Payment can be submitted via Zelle or Cashapp if preferred. Contact 540-429-3940 for more details.

ENROLL IN SQL ONLY
BUY SQL CLASS RECORDINGS ONLY

SQL COURSE CURRICULUM

Week 1 – Getting Started with SQL

  •  Introduction to databases and SQL concepts
  • Installing/connecting to SQL environment (MySQL, PostgreSQL, or SQL Server)
  • Understanding databases, tables, rows, and columns
  • Writing your first queries: SELECT, FROM, WHERE

Week 2 – Querying and Filtering Data

  • Using DISTINCT, ORDER BY, and LIMIT
  • Filtering with comparison operators, BETWEEN, IN, LIKE
  • Combining conditions with AND, OR, NOT
  • Sorting and cleaning query outputs

Week 3 – Aggregation and Joins

  •  Aggregate functions: COUNT, SUM, AVG, MIN, MAX
  • Grouping and summarizing data with GROUP BY and HAVING
  • Understanding relationships between tables
  • Writing different types of joins: INNER, LEFT, RIGHT, FULL

Week 4 – Intermediate to Advanced SQL Features

  •  Subqueries and nested queries
  • Common Table Expressions (CTEs)
  • Window functions (ROW_NUMBER, RANK, PARTITION BY)
  • Data modification: INSERT, UPDATE, DELETE
  • Introduction to database design concepts (keys, constraints, normalization)
  • Creating and managing views (CREATE VIEW, ALTER VIEW, DROP VIEW)
  • Benefits of views for security, abstraction, and simplifying complex queries

Week 5 – Real-World Projects & Reporting

  •  End-to-end project: querying a business dataset
  • Building reports from SQL queries
  • Exporting and connecting SQL queries to BI tools (Excel, Power BI, Tableau) 
  • Best practices for query writing and optimization

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