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SQL for Data Analytics

Course Description

SQL for Data Analytics is a beginner-to-intermediate level course designed to help learners harness the power of SQL to access, analyze, and manage structured data effectively. As one of the most in-demand data skills in 2025, SQL continues to be essential for professionals in data analysis, business intelligence, and database management roles.

This self-paced course focuses on writing efficient queries, performing joins and aggregations, cleaning datasets, and deriving insights from real-world databases. You’ll also explore how SQL integrates with data visualization tools and platforms like Power BI, Tableau, and Google BigQuery, preparing you for modern, data-driven work environments.

Whether you're an aspiring data analyst, business analyst, or just want to speak the language of data, this course will give you practical, job-ready SQL skills.

What You’ll Learn

By the end of this course, you will be able to:

  • Understand relational database structures and how SQL interacts with them

  • Write SQL queries to extract, filter, and sort data

  • Use JOINs, subqueries, and set operations to combine data from multiple tables

  • Perform aggregations and statistical calculations using GROUP BY, HAVING, and functions

  • Clean and transform data using string, date, and conversion functions

  • Apply window functions (RANK, LEAD, LAG) for advanced analytics

  • Work with Common Table Expressions (CTEs) and nested queries

  • Optimize queries for performance and readability

  • Explore real-time data through cloud-based databases (BigQuery, Azure SQL)

  • Connect SQL with visualization tools (Power BI, Tableau) for dashboards and reports

  • Prepare for roles in data analytics, business intelligence, and data engineering

Course Curriculum

  • SQL Basics & Relational Databases

    • Database design, tables, keys

    • SELECT, WHERE, ORDER BY

  • Filtering & Aggregation

    • DISTINCT, LIMIT

    • GROUP BY, HAVING, aggregate functions

  • Working with Multiple Tables

    • INNER, LEFT, RIGHT, FULL JOIN

    • Subqueries and nested queries

  • Advanced SQL Concepts

    • Window functions: RANK, DENSE_RANK

    • CTEs, CASE statements, data types

  • SQL for Data Analysis

    • KPI calculations, trend analysis

    • Real-time queries and performance optimization

  • SQL in the Cloud (2025 Update)

    • BigQuery, Snowflake, Redshift basics

    • Data warehousing concepts

  • BI & Automation Integration

    • Connecting SQL to Power BI & Tableau

    • Python and Excel integrations

    • Automating workflows with AI-based SQL tools

  • Final Assessment & Certification

    • Capstone SQL project on real-world dataset

    • Online evaluation (90 mins)

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Chronolearn

Developer

I am a web developer with a vast array of knowledge in many different front end and back end languages, responsive frameworks, databases, and best code practices

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Title From Date To Date Cost
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This Course Fee:

₹18,999.00

₹35,000.00
Course includes:
  • img Level
      Beginner Intermediate Expert
  • img Duration 12h
  • img Passing Marks 75
  • img Exam Duration 1h 30m
  • img Certifications Yes
  • img Language
      English German Arabic French Spanish
  • img Access 90 days
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