Advanced SQL Techniques

Mastering SQL for High-Performance Queries, Data Optimization, and Complex Analytics

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MODE
Virtual (Google Meet)

TYPE
Mentor Based

LEVEL
Moderate

DURATION
3 Weeks

About

The Advanced SQL Techniques program is designed for professionals looking to enhance their SQL expertise beyond basic queries. The course covers query optimization, indexing, stored procedures, window functions, and advanced data analysis. Participants will gain hands-on experience with relational databases (MySQL, PostgreSQL, SQL Server, Oracle) and cloud-based SQL solutions (Google BigQuery, AWS RDS, Azure SQL).

Aim

To provide participants with advanced SQL skills to optimize database queries, manage complex data structures, and implement best practices for performance tuning, security, and analytics.

Program Objectives

To train participants in query optimization and performance tuning.
To provide expertise in complex joins, window functions, and analytical queries.
To develop hands-on skills in stored procedures, triggers, and automation.
To introduce SQL security best practices and access control.
To prepare professionals for high-demand SQL roles in data engineering and analytics.

Program Structure

Week 1: Fundamentals of Data Visualization and BI

Module 1: Introduction to Data Visualization and BI

What is Data Visualization?
- Importance of visualization in data analytics.
- Difference between Data Visualization and Business Intelligence.
Understanding Business Intelligence (BI)
- BI vs. Traditional Reporting.
- BI applications in business decision-making.
Key Data Visualization Concepts
- Data types: Categorical, numerical, time series.
- Principles of effective visualization (clarity, simplicity, accuracy).

Hands-On Lab:

Exploring sample datasets and selecting appropriate visualization types.

Module 2: Introduction to BI Tools and Data Preparation

Overview of BI and Visualization Tools
- Power BI, Tableau, Google Data Studio, Looker, Excel.
Data Cleaning and Preparation
- Data sources: Excel, SQL databases, APIs.
- ETL (Extract, Transform, Load) process.

Hands-On Lab:

Connecting Power BI/Tableau to a dataset and cleaning the data.

Week 2: Advanced Data Visualization Techniques

Module 3: Building Effective Dashboards

Dashboard Design Principles
- Storytelling with data.
- Best practices for interactive dashboards.
Creating Visualizations
- Bar charts, line charts, scatter plots, heatmaps, geospatial maps.

Hands-On Lab:

Designing an interactive dashboard in Power BI/Tableau.

Module 4: Advanced BI Analytics and Performance Optimization

Applying Advanced BI Techniques
- Calculated fields and custom metrics.
- Time-series analysis and forecasting.
Optimizing BI Reports for Performance
- Data aggregation, indexing, and caching strategies.

Hands-On Lab:

Implementing time-series forecasting and performance tuning in BI tools.

Week 3: BI Automation, Reporting, and Real-World Applications

Module 5: Automating Reports and Data Pipelines

Automating BI Workflows
- Scheduled data refreshes and alerts.
- Data pipelines with Python and SQL.
Integrating BI with Other Systems
- Connecting BI tools to cloud databases, APIs, and enterprise systems.

Hands-On Lab:

Automating report generation and email alerts in Power BI/Tableau.

Module 6: Real-World BI Use Cases and Future Trends

BI in Different Industries
- Retail, finance, healthcare, marketing, and supply chain analytics.
Future of Data Visualization and BI
- AI-driven insights, NLP for BI (chatbots, auto-generated reports).

Hands-On Lab:

Creating a BI solution for a real-world business problem.

Participant’s Eligibility

Data Analysts and Business Intelligence professionals
Database Administrators and SQL Developers
Software Engineers and Data Scientists
IT professionals working on data-driven applications

Program Outcomes

Mastery of advanced SQL querying techniques
Hands-on experience in query optimization and indexing
Proficiency in window functions, stored procedures, and analytics
Ability to secure and manage high-performance database environments
Readiness for SQL-related certifications (Oracle, Microsoft SQL Server, PostgreSQL, AWS RDS)

Fee Structure

Standard Fee: INR ~~16,998~~ USD ~~224~~

Discounted Fee: INR 8,499 USD 112

We are excited to announce that we now accept payments in over 20 global currencies, in addition to USD. Check out our list to see if your preferred currency is supported. Enjoy the convenience and flexibility of paying in your local currency!

List of Currencies