Advanced SQL Course for Data Analysis & Data Science Course Overview:
This Advanced SQL Course for Data Analysis & Data Science is designed for participants who already have a basic understanding of SQL and want to enhance their skills to tackle more complex data analysis and data science tasks. This hands-on training program will cover advanced SQL querying techniques, database optimization, data modeling, and integration with other tools and programming languages. During the course of training, participants will work on challenging projects to reinforce their learning and gain practical experience in leveraging SQL for advanced data analysis and modeling.
Advanced SQL Course for Data Analysis & Data Science Course Outline:
Module 1: Advanced SQL Querying Techniques
- Review of SQL basics and essential querying techniques
- Subqueries and correlated subqueries for complex data retrieval
- Common table expressions (CTEs) for query organization and readability
- Window functions for advanced data analysis and ranking
- Recursive queries for hierarchical data analysis
Module 2: Database Optimization and Performance Tuning
- Introduction to database optimization and performance tuning
- Indexing strategies and query optimization techniques
- Analyzing query execution plans for performance improvement
- Database normalization and denormalization techniques
- Caching and query caching for improved performance
- Advanced-Data Modeling and Database Design
Module 3: Understanding data modeling concepts and techniques
- Entity-relationship (ER) modeling and diagramming
- Designing efficient database schemas and relationships
- Normalization principles and techniques
- Handling hierarchical and network data structures in databases
Module 4: SQL Integration with Other Tools and Languages
- Integrating SQL with Python for data analysis and manipulation
- Using SQL in conjunction with R for statistical analysis
- Leveraging SQL with Apache Spark for distributed data processing
- Incorporating SQL into data pipelines and ETL (Extract, Transform, Load) processes
Module 5: Advanced SQL for Data Analysis and Modeling
- Advanced statistical calculations and aggregations using SQL
- Handling time-series data and temporal queries in SQL
- Geospatial data analysis and spatial queries in SQL
- Handling unstructured data with SQL, such as text and JSON data
Module 6: Collaborative Data Analysis and Reporting
- Collaborative SQL workflows and version control with Git
- Sharing and documenting SQL queries and analysis results
- Generating automated reports and visualizations from SQL outputs
- Working with business intelligence (BI) tools and SQL integration
- Become Job Ready
- Become an expert in the field.
- Increase earning potential.
I am Deborah Osilade, I am a Data Analyst and an Instructor at Piston and Fusion Business Academy. I love leveraging data to create high-quality data-intelligent solutions. I enjoy working on building Predictive Models, Financial models and designing Dashboards solutions. My specialization and core skills are in Finance, Data Science & Machine Learning. I have a Post Graduate Diploma in Data Science and Business Analysis from the University of Texas at Austin and a B.A. Accounting and Finance degree from Middlesex University. My proficiency with data science tools spans Programming Language for Data Science, Data visualization, and Data management tools.
Advanced SQL Course for Data Analysis & Data Science Fees & Dates for Upcoming Classroom Classes In 2024
| Batch 1 | Batch 2 | |
| Date | Nov 6th – Dec 6th, 2023 | Contact Us |
| Fees | ₦350,000 | ₦350,000 |
| Training Days | Mon & Wed | Contact Us |
| Training Time | 2pm – 4pm | Contact Us |
| Delivery Method | Classroom & Online | Contact Us |
| Location | 123a Obadina street Lagos | Contact Us |
Course FAQ
Related Courses
