Mentor Based
Advanced SQL Techniques
Mastering SQL for High-Performance Queries, Data Optimization, and Complex Analytics
Early access to e-LMS included
About This Course
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.
Who Should Enrol?
- 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: ₹16,998 | $224
Discounted: ₹8,499 | $112
We accept 20+ global currencies. View list →
What You’ll Gain
- Full access to e-LMS
- Real-world dry lab projects
- 1:1 project guidance
- Publication opportunity
- Self-assessment & final exam
- e-Certificate & e-Marksheet
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