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Easy Learning with SQL Course 2026: SQL for Data Analysis and Data Science.
Business > Business Analytics & Intelligence
5h 43m
Free
3.5 ★★★★★

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Language: English

SQL Masterclass 2024: Data Analysis & Science with PostgreSQL

What you will learn:

  • Master SQL and PostgreSQL for data analysis and science.
  • Utilize a real-world airline database for hands-on practice.
  • Perform comprehensive data analysis using SQL.
  • Leverage Python and Pandas for data analysis and visualization of PostgreSQL outputs.
  • Build efficient SQL queries using advanced techniques.
  • Handle complex datasets and create comprehensive SQL queries.
  • Create and manage PostgreSQL databases.
  • Execute SQL queries to retrieve and analyze data effectively.
  • Implement data sorting and filtering using SQL.
  • Use SQL aggregation functions to group and summarize data.
  • Master different types of SQL joins.
  • Construct and work with subqueries and CTEs.
  • Perform advanced data analysis tasks using SQL.
  • Use Python to load and analyze data from PostgreSQL.
  • Utilize web scraping techniques with Python to extract data.
  • Visualize and analyze web-scraped data using Python.

Description

Unlock the power of SQL and PostgreSQL to transform your data analysis and data science skills. This comprehensive bootcamp guides you from SQL fundamentals to advanced techniques, equipping you for real-world data challenges.

Dive into practical exercises, quizzes, and engaging projects using a real-world airline database. Master core SQL concepts like SELECT statements, WHERE clauses, joins, subqueries, and advanced analytical functions. Discover the synergy between SQL and Python, leveraging Pandas for data analysis and visualization of your PostgresSQL query outputs.

Learn to build robust SQL queries, extract actionable insights, and present your findings effectively. The curriculum is meticulously structured, progressing from beginner-level concepts to advanced techniques. By the end, you'll be a proficient SQL user capable of tackling complex datasets and building efficient data pipelines.

Our experienced data science instructor breaks down complex topics into easily digestible lessons. You'll gain the expertise needed to land your dream data-centric role and solve real-world problems with confidence. This isn't just a course; it's your pathway to becoming a data analysis professional. Enroll now and embark on your SQL journey!

What you'll master:

  • PostgreSQL installation and database management
  • Proficient SQL querying with SELECT, WHERE, ORDER BY, GROUP BY, and more
  • Advanced SQL techniques: subqueries, CTEs, window functions, and various join types
  • Data analysis and visualization with Python and Pandas, including data extraction from PostgresQL
  • Web scraping techniques to gather and analyze data using Python
  • Hands-on practice through quizzes, challenges, and a final exam.

Don't wait, start your SQL data mastery today!

Curriculum

Introduction

This introductory section sets the stage for the course, providing a comprehensive overview and outlining the course objectives. The 'Course Introduction' lecture lays the foundation, outlining what you'll learn and the skills you'll acquire.

Beginner: PostgreSQL Setup & Airline Database Exploration

This section covers the essential setup steps. You'll learn to download and install PostgreSQL, create a database, and restore a real-world airline database. Lectures cover the database installation process, database creation, database restoration, database overview (in two parts), and a detailed explanation of SQL data types. This prepares you to start working with the practical dataset.

Beginner SQL Fundamentals (Parts 1-3)

These sections cover the core elements of SQL querying. You'll learn SELECT statements, WHERE clauses (including AND, OR, LIKE, BETWEEN, and IN operators), ORDER BY and LIMIT clauses, the DISTINCT keyword, handling NULL values, and data type casting. Challenges and solution walkthroughs are included in each part to reinforce your learning. You will gain a solid grasp of basic SQL syntax and logic through numerous examples.

Intermediate: SQL Aggregations, Conditionals, & Time Data

This section delves into intermediate SQL concepts. You'll learn about aggregate functions (COUNT, SUM, MIN, MAX, AVG), GROUP BY and HAVING clauses, conditional statements (CASE, NULLIF, COALESCE), and efficient time data management using PostgreSQL's time functions. Challenges further solidify understanding.

Intermediate: SQL Joins & Subqueries

This section is dedicated to mastering SQL joins (INNER, LEFT, RIGHT, FULL OUTER, CROSS, SELF joins, UNION, INTERSECT, EXCEPT, and the USING keyword) and subqueries, including the EXISTS, ANY, and ALL operators. You will also learn to effectively use Common Table Expressions (CTEs). Comprehensive explanations and practical examples ensure a strong understanding.

Advanced SQL: Functions & Window Functions

Here, you'll explore advanced SQL concepts. You'll master PostgreSQL functions, including mathematical functions and powerful window functions (OVER, RANK, NTILE, LEAD, LAG). You'll also learn about GROUPING SETS, ROLLUP, CUBE, SELECT INTO, and VIEW creation.

PostgreSQL String Functions

This section focuses on essential string manipulation functions in PostgreSQL, covering POSITION, STRPOS, REPLACE, LEFT, RIGHT, BTRIM, SPLIT_PART, CONCAT, LOWER, UPPER, and INITCAP. Practical examples are used to demonstrate their application.

Final Exam

This section tests your cumulative knowledge with multiple quizzes covering the entire course content. Detailed solutions are provided for each quiz, allowing for thorough review and understanding of key concepts.

Python & PostgreSQL Integration

This section introduces Python programming and its integration with PostgreSQL. You will learn about setting up your Python environment, using Jupyter Lab, installing necessary libraries, connecting to the database, and executing SQL queries using Python. You will learn to use Pandas for data analysis, including loading data from PostgresQL.

Python Pandas for Data Analysis & Visualization

This section focuses on using Python's Pandas library for data analysis and visualization of data extracted from your PostgreSQL database. You'll learn various Pandas methods, data visualization techniques, and perform thorough data analysis.

Web Scraping & Database Integration

This bonus section covers web scraping using Python's libraries (bs4 and lxml), analyzing the extracted data using Pandas, visualizing it, and saving it to your database. It demonstrates a practical real-world application of the skills you've learned throughout the course.

Bonus Section - Thank You

This concluding section expresses gratitude to students and provides additional resources or next steps for continued learning.

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