SQL for Data Analytics - eLearning

450,00 EUR

  • 20 hours
eLearning

Unlock the power of data-driven decision-making with SQL for Data Analytics and learn how to transform raw data into meaningful business insights. This hands-on training is designed to help you master SQL from the ground up while focusing on real-world data analysis applications.

Key Features

Language

Course and material in English

Level

Beginner level

Access

1 Year access to the learning platform

6+ Hours of On-Demand Videos

with 20+ hours recommended study time

35 Guided Hands-On Exercises

10 Auto-Graded Assessments

8 Assignments

1 Real-World Project

Certification

Program completion certification included

Hero

Learning Outcomes

At the end of this Course, you will be able to:

Database

Understand relational database concepts and how data is structured

SQL

Write and execute SQL queries for data extraction and analysis

Manipulate

Filter, sort, and manipulate data using SQL clauses and operators

Aggregation

Apply aggregation functions such as SUM, AVG, COUNT, MIN, and MAX

Combine

Combine data from multiple tables using JOIN and UNION operations

Transform

Work with SQL functions for data transformation and cleaning

Analyze

Analyze large datasets to identify patterns and trends

MySQL

Use MySQL Workbench for real-world database operations

Solve

Solve business problems using structured data analysis techniques

Hero

Course timeline

  1. What is SQL?

    Lesson 01

    • Introduction to Data Analysis Using SQL
    • Introduction to Understanding SQL and its Importance
    • The What and Why of SQL
    • What is a Query?
    • Use of SQL in the Industry
    • Introduction to MySQL
  2. SQL Database Admin Commands

    Lesson 02

    • Introduction and Tour of MySQL Workbench
    • SQL Syntax - Best Practices
    • Create a Database in MySQL
    • Create a Table in a Database
    • SHOW and DROP Command in SQL
    • INSERT INTO Command in SQL
  3. Basics of SQL

    Lesson 03

    • Getting the Dataset
    • Table Data Import Wizard
    • SELECT * FROM Statement in SQL
    • LIMIT Statement in SQL
    • Aliases in SQL
  4. Data Filtering and Querying

    Lesson 04

    • ORDER BY in SQL
    • WHERE Clause in SQL
    • AND, OR, and NOT Operators in SQL
    • IN Operator in SQL
    • LIKE Operator in SQL
  5. Aggregation and Summary Functions

    Lesson 05

    • COUNT Function in SQL
    • MIN and MAX Functions in SQL
    • SUM Function in SQL
    • AVG Function in SQL
    • GROUP BY Function in SQL
  6. Miscellaneous Analysis in SQL

    Lesson 06

    • CAST Function in SQL
    • Date and Time Data Types
    • CONCAT Function in SQL
    • Histogram in SQL
    • REPLACE Function in SQL
  7. Table Relationships and Joins

    Lesson 07

    • Relationships in SQL
    • Keys in SQL
    • Entity Relationship Diagram (ERD)
    • Introduction to Combining Tables
    • JOIN Clause in SQL
    • UNION Clause in SQL
  8. Advanced SQL

    Lesson 08

    • CASE Statement in SQL
    • HAVING Clause in SQL
    • WINDOW Functions in SQL
    • RANK Function in SQL
    • Moving Averages in SQL
    • Regular Expressions in SQL
  9. Making Efficient Analysis

    Lesson 09

    • Temporary Tables in SQL
    • Views in SQL
    • SQL Indexes
    • Stored Procedures in SQL
    • Normalizing a Database
data analytics

Who Should Enroll in This Program?

Prerequisites

  • Basic understanding of descriptive statistics (average, sum, min, max)
  • No prior SQL experience required
  • Familiarity with basic computer operations is helpful
  • Interest in data analysis and problem-solving

Aspiring data analysts

Business intelligence professionals

Software engineers working with databases

Data scientists and analytics beginners

Database administrators

Professionals transitioning into data-driven roles

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Statements

Licensing and accreditation

This course is offered according to Partner Program Agreement and complies with the License Agreement requirements

Equity Policy

Candidates are encouraged to reach out to AVC for guidance and support throughout the accommodation process.


Frequently Asked Questions

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