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Data Analytics (ETL) with SQL

Unlock the power of data with our Data Analytics (ETL) with SQL Program! This course provides a solid foundation in data analytics and SQL, focusing on Extract, Transform, Load (ETL) processes to prepare and manage data efficiently. You’ll gain hands-on skills in SQL for data manipulation, building a strong base for a career in analytics. Perfect for beginners, this program is your pathway to mastering essential data skills.

This course is a part of Data Analytics Program.

$1400

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12-Module Program

Perfect for beginners and professionals alike!

Live, Instructor-Led

Learn from experienced instructors in real-time.

40-Hour Course

6 Hours/Week, Weekend classes

Online Classes

Join the course from anywhere. Save on travel-time.

Course Modules

Module 01 - Insight to SQL

Overview of Databases and SQL
History and Evolution of SQL
Types of SQL Commands (DDL, DML, DCL, TCL)
Installing and Setting up a Database (e.g., MySQL, PostgreSQL)
Understanding Transactions in SQL

Module 02 - Data Gathering

Introduction to Database Design
Entities, Attributes, and Relationships
Primary Keys, Foreign Keys, and Constraints
Normalization (1NF, 2NF, 3NF, BCNF)
Denormalization

Module 03 - Data Transformation

Creating Databases
Creating, Modifying, and Dropping Tables
Data Types and Constraints
Indexes and Views
Managing Schemas

Module 04 - Data Transformation/Data Cleaning

Inserting Data into Tables
Updating Existing Data
Deleting Data
Basic Queries with SELECT
Filtering Data with WHERE
Using JOIN Operations (INNER, LEFT, RIGHT, FULL)
Nested Queries (Subqueries)
Using GROUP BY and Aggregate Functions (COUNT, SUM, AVG, MIN, MAX)
Using HAVING for Group Filtering
Sorting Results with ORDER BY
Combining Queries with UNION, INTERSECT, EXCEPT

Module 05 - Data Cleaning

Numeric Data Types
Character and String Data Types
Date and Time Data Types
Handling NULL Values
Data Type Conversion Functions (CAST, CONVERT)

Module 06 - Data Exploration/ Data Cleaning

String Functions (CONCAT, SUBSTRING, REPLACE)
Numeric Functions (ROUND, CEIL, FLOOR)
Date and Time Functions (NOW, DATEADD, DATEDIFF)
Conditional Expressions (CASE, IFNULL, COALESCE)

Module 07 - Data Exploration

Understanding User Roles and Privileges
Granting and Revoking Permissions
User Management in SQL
Creating and Managing Roles

Module 08 - Data Exploration

Introduction to Stored Procedures
Creating and Executing Stored Procedures
Working with Functions in SQL
Parameters in Stored Procedures
Error Handling in Stored Procedures

Module 09 - Data Exploration

Creating and Managing Views
Updatable Views
Materialized Views
Security and Performance with Views
Implementing SQL Security Best Practices
Encrypting Data in SQL
Backup and Restore Strategies
Disaster Recovery Planning

Module 10 - Data Analysis

Understanding Query Execution Plans
Indexing Strategies for Optimization
Analyzing and Tuning SQL Queries
Optimizing Joins and Subqueries
Database Partitioning

Module 11 - Data Analysis

Analyzing Real-World Database Problems
Building Complex Queries for Business Needs
Reporting and Data Analysis with SQL
Integrating SQL with Other Programming Languages

Module 12 - Data Analysis

Introduction to Triggers
Creating and Managing Triggers
Event Scheduling in SQL
Automating Tasks with Events

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Course Outcomes

Learn the key concepts of Data Management and ETL in Data Analytics.
Effectively use SQL for querying and managing databases, enabling data retrieval and organization.
Clean and prepare data for analysis, ensuring it is accurate and ready for insights generation using SQL.
Analyse complex datasets and derive meaningful business insights through structured data exploration

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