Training on Mastering SQL for Data Management

Course Objectives

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

• Understand the fundamentals of relational databases and SQL.
• Learn to write SQL queries to retrieve and manipulate data from databases.
• Gain proficiency in creating and modifying database structures.
• Develop skills to aggregate and summarize data using SQL functions.
• Understand how to join tables to extract relevant information from multiple datasets.
• Learn advanced SQL techniques for optimizing queries and managing large datasets.
• Gain knowledge of data integrity and best practices for managing databases.
• Understand how to use SQL in real-world scenarios, including reporting and data analysis.
• Develop the ability to troubleshoot common SQL issues and errors.
• Gain hands-on experience through practical exercises and real-world examples.

Course Outline:

Module 1: Introduction to Databases and SQL

• Database concepts: tables, records, fields, keys
• SQL basics: SELECT, FROM, WHERE clauses
• Data types and operators

Module 2: Data Manipulation with SQL

• INSERT, UPDATE, and DELETE statements
• Aggregate functions: COUNT, SUM, AVG, MIN, MAX
• Grouping data with GROUP BY and HAVING clauses

Module 3: Advanced SQL Queries

• Joins: INNER, OUTER, self-joins
• Subqueries and correlated subqueries
• Common table expressions (CTEs)

Module 4: Database Design and Normalization

• Entity-relationship diagrams (ERDs)
• Database normalization principles (1NF, 2NF, 3NF)
• Creating and altering tables

Module 5: SQL Functions and Stored Procedures

• Built-in functions: string, numeric, date functions
• User-defined functions and stored procedures
• Indexes and performance optimization

Module 6: Database Security and Integrity

• User management and permissions
• Data encryption and protection
• Constraints: primary keys, foreign keys, unique, check

Module 7: SQL for Data Analysis

• Window functions: RANK, DENSE_RANK, ROW_NUMBER
• Analytical functions: LAG, LEAD, FIRST_VALUE, LAST_VALUE
• Case studies in data analysis with SQL

Module 8: Database Performance Tuning

• Query optimization techniques
• Indexing strategies
• Database administration best practices

Module 9: SQL for Data Warehousing and Business Intelligence

• OLAP vs. OLTP concepts
• Data warehousing architecture
• SQL for data cubes and reporting

Module 10: Emerging Trends in SQL

• SQL on big data platforms (Hadoop, Spark)
• NoSQL databases and SQL integration
• Cloud-based SQL databases

Customized Training

This training can be tailored to your institution needs and delivered at a location of your choice upon request.

Requirements

Participants need to be proficient in English.

Training Fee

The fee covers tuition, training materials, refreshments, lunch, and study visits. Participants are responsible for their own travel, visa, insurance, and personal expenses.

Certification

A certificate from Ideal Sense & Workplace Solutions is awarded upon successful completion.

Accommodation

Accommodation can be arranged upon request. Contact via email for reservations.

Payment

Payment should be made before the training starts, with proof of payment sent to outreach@idealsense.org.
For further inquiries, please contact us on details below:

Email: outreach@idealsense.org

Mobile: +254759708394