SQL for Data Science + Data Analytics + Data Visualization

Overview

The "SQL for Data Science + Data Analytics + Data Visualization" course is designed to equip you with the skills needed to excel in data-driven decision-making. This comprehensive course takes you from the basics of SQL to advanced techniques for data analytics and data visualization, making it perfect for anyone looking to build a career in data science or data analytics.

Syllabus

• Introduction to SQL
Overview of SQL and its importance in data science
Setting up your SQL environment
Basic SQL syntax and queries
Data types and formats
• SQL for Data Management
Creating and manipulating tables
Inserting, updating, and deleting records
Using primary keys and foreign keys
Understanding JOIN operations
Handling data integrity and constraints
• Advanced SQL for Data Analysis
Aggregating data with GROUP BY and HAVING clauses
Nested queries and subqueries
Window functions and analytical functions
Common table expressions (CTEs)
Query optimization and performance tuning
• SQL in Data Science Workflow
Data extraction and ETL processes
Integrating SQL with Python/R for data analysis
Real-world case studies and applications
• Data Visualization with SQL
Introduction to data visualization techniques
Visualizing SQL data with basic plotting tools
Advanced visualization using libraries (e.g., Matplotlib, Seaborn, or equivalent)
Creating dashboards and reports
• Final Project
End-to-end data analysis project using SQL
Data cleaning, analysis, and visualization
Presenting insights and recommendations based on data
• Conclusion and Next Steps
Review of key concepts
Resources for further learning and career development in data science

Taught by

Metla Sudha Sekhar

Subjects

Programming