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SQL for Data Science
YOUR PATHWAY TO SUCCESS
This intensive 5-day course provides a comprehensive introduction to SQL (Structured Query Language), the standard language for interacting with relational databases. You’ll learn how to write SQL queries to retrieve, manipulate, and analyze data, a crucial skill for any data scientist. We’ll cover everything from basic SELECT statements to complex joins, subqueries, and window functions.
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Course Duration
5 Days
Course Details
This intensive 5-day course provides a comprehensive introduction to SQL (Structured Query Language), the standard language for interacting with relational databases. You’ll learn how to write SQL queries to retrieve, manipulate, and analyze data, a crucial skill for any data scientist. We’ll cover everything from basic SELECT statements to complex joins, subqueries, and window functions. You’ll learn how to design efficient queries, optimize database performance, and work with various data types. This isn’t just theory; you’ll be writing SQL queries from day one, working with real-world datasets and building practical experience.
This course emphasizes hands-on practice. You’ll work with popular database systems (like PostgreSQL, MySQL, or SQLite) and learn how to use SQL to perform data cleaning, transformation, aggregation, and analysis. We’ll also explore best practices for database design and how to use SQL to create and manage tables. By the end of this course, you’ll be proficient in SQL and ready to tackle real-world data challenges. You’ll be able to extract the information you need from databases to drive insights and inform data-driven decisions.
By the end of this course, learners will be able to:
- Write SQL queries to retrieve and manipulate data.
- Use various SQL clauses and functions.
- Design and manage relational databases.
- Optimize SQL queries for performance.
- Perform data cleaning and transformation using SQL.
- Apply SQL to analyze data and extract insights.
- Data scientists, analysts, and business intelligence professionals.
- Individuals who need to work with relational databases.
- Anyone who wants to learn SQL for data analysis.
Course Outline
5 days Course
- Introduction to SQL and Database Basics:
- What is SQL? History and applications.
- Relational database concepts: Tables, columns, rows, primary keys, foreign keys.
- Setting up a database environment (installing a database system, using a database client).
- Basic SELECT statements: Retrieving data from tables.
- Filtering data with WHERE clauses.
- Hands-on exercises: Writing basic SQL queries.
- Data Manipulation and Aggregation:
- UPDATE statements: Modifying data in tables.
- DELETE statements: Removing data from tables.
- INSERT statements: Adding new data to tables.
- Aggregate functions: COUNT, SUM, AVG, MIN, MAX.
- Grouping data with GROUP BY clauses.
Hands-on exercises: Manipulating and aggregating data using SQL.
- oins and Subqueries:
- Joining tables: INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN.
- Subqueries: Using queries within other queries.
- Hands-on exercises: Writing complex queries using joins and subqueries.
- oins and Subqueries:
- Window Functions and Data Transformation:
- Window functions: ROW_NUMBER, RANK, DENSE_RANK, LAG, LEAD.
- Data type conversion and casting.
- String manipulation functions.
- Hands-on exercises: Using window functions and transforming data.
- Window Functions and Data Transformation:
- Database Design and Optimization:
- Database normalization: 1NF, 2NF, 3NF.
- Creating and managing tables: CREATE TABLE, ALTER TABLE, DROP TABLE.
- Indexes: Improving query performance.
- Query optimization techniques.
- Hands-on exercises: Designing and optimizing a database schema.
- Database Design and Optimization:
