Practical SQL With Python In 3 Days: Beginner to Pro from Udemy

Welcome to the best resource online for learning to work with SQL in python.

Python and SQL are two of the most in-demand skills in any data-related or data-adjacent role today.

In this course, we'll use SQLite, MySQL and PostreSQL to build three projects of increasing complexity that will give you a solid foundation in using SQL in python applications.

Over 17 hours and 50 coding assignments, you will gain practical mastery of, not only SQL and python, but also tens of programming and computer science concepts.

In building these projects, you won’t be copy/pasting code. Instead, we will be writing code from scratch, and we will be writing lots of it.

This "forced" practice will help solidify your understanding of the concepts and techniques we cover. Each assignment will be followed by a detailed solution and explanation.

By the end of the course, after 3 immersive days, SQL and python will be on your resume.

––––– Structure & Curriculum –––––

· Day 1: SQLite

· understanding connections, cursors, transactions in sqlite3

· parameterizing and executing queries

· understanding and preventing SQL injections

· introduction to DBAPI

· building the Freight Manager (9 coding assignments)

· Day 2: MySQL

· revisiting connections, cursors, transactions with mysql-connector

· building prepared statements

· exploring dictionary, buffered and namedtuple cursors

· building the School Registrar (19 coding assignments)

· Day 3: PostgreSQL

· revisiting connections, cursors, transactions with psycopg2

· generating dynamic SQL from python code

· building the Guestbook API (22 coding assignments)

· with object oriented programming, password hashing, and more

This is the ultimate, immersive introduction to two of the most valuable skills today.

I'll see you inside.

What's inside

Learning objectives

Work with sql databases confidently in python applications
Build and deploy a web-based api using fastapi and postgresql

Understand cursors, transactions, connections, and query execution in depth
Explore more advanced topics around dynamic sql generation, prepared statements, and non-tuple cursors

Work with sql databases confidently in python applications
Build and deploy a web-based api using fastapi and postgresql
Understand cursors, transactions, connections, and query execution in depth
Explore more advanced topics around dynamic sql generation, prepared statements, and non-tuple cursors

Syllabus

Day 0 - Two Minute Welcome

2-min Introduction

All Course Resources - Lectures + Project Challenges

Day 1 - Freight Manager

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Provides hands-on experience with SQLite, MySQL, and PostgreSQL, which are widely used database systems in various industries

Develops skills in dynamic SQL generation, prepared statements, and non-tuple cursors, enhancing database interaction capabilities

Emphasizes writing code from scratch, which solidifies understanding and promotes practical mastery of SQL and Python

Covers database connections, cursors, and transactions in depth, which are fundamental concepts for database management

Requires learners to set up virtual environments, which may pose a challenge for absolute beginners without prior experience

Reviews summary

Intensive practical sql and python

According to students, this course offers a highly practical and hands-on approach to learning SQL with Python, centered around building real-world projects like a Guestbook API. Many find the focus on coding from scratch across different databases like SQLite, MySQL, and PostgreSQL to be a major strength, helping to solidify understanding and providing job-relevant skills. However, students frequently note the very intense pace, stating the "3 days" structure requires significant dedication and is potentially overwhelming for complete beginners with no prior Python experience. While rewarding for those who keep up, some feel the "Beginner to Pro" claim is a warning and the course is better suited for those with some existing programming familiarity. The instructor's explanations and detailed solutions are generally well-received.

Very fast-paced, requires commitment.

"The pace is fast, but if you commit the time, it's super effective."

"The '3 days' structure is very intense, maybe a bit too much for a complete beginner..."

"The speed is breakneck. Needed to constantly look up outside resources."

"The intensity is high, which can be good if you're disciplined, but potentially overwhelming otherwise."

Explores multiple SQL databases.

"Loved covering different databases: SQLite, MySQL, PostgreSQL."

"The progression from SQLite to PostgreSQL is logical and gives you a good overview."

"The coverage of DBAPI and transactions across different databases was valuable."

Teaches skills applicable in data roles.

"Exactly what I needed for my data analyst role."

"Very practical and job-relevant skills taught here."

"Highly recommend for career development."

"This course delivered on its promise of practical mastery."

Practical approach, build real apps.

"Building the projects from scratch really solidified my understanding of SQL and Python integration."

"The hands-on coding and projects are the strongest part of the course for me."

"Loved building real applications like the Guestbook API - very useful."

"The project challenges were well-designed and good practice."

May be challenging for true beginners.

"Found it too difficult as a beginner. The '3 days' is misleading; it requires far more time and prior knowledge."

"If you're not already comfortable with Python basics, you'll struggle significantly."

"Says beginner to pro but feels more like Intermediate to Pro in a hurry."

"The 'Beginner to Pro in 3 days' claim is unrealistic for most beginners."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Practical SQL With Python In 3 Days: Beginner to Pro with these activities:

Review Basic Python Syntax

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Strengthen your understanding of Python syntax to ensure a smoother learning experience when working with SQL in Python.

Browse courses on Python Syntax

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Review data types, control flow, and functions in Python.
Practice writing simple Python scripts.

Review 'Python Crash Course'

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Solidify your Python foundation with a comprehensive guide that covers the fundamentals and provides hands-on projects.

View Python Crash Course, 2nd Edition: A Hands-On,... on Amazon

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Read the chapters covering basic Python syntax and data structures.
Complete the exercises and projects to reinforce your understanding.

Practice SQL Queries on Sample Databases

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Sharpen your SQL skills by practicing writing queries on publicly available sample databases to improve proficiency.

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Download and set up a sample database like Chinook or Northwind.
Write SQL queries to retrieve, filter, and aggregate data.
Experiment with different SQL commands and functions.

Four other activities

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Show all seven activities

Create a Blog Post on SQL Injection Prevention

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Deepen your understanding of SQL injection vulnerabilities and prevention techniques by writing a blog post explaining the concepts.

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Research common SQL injection attack vectors.
Explain how parameterized queries prevent SQL injection.
Provide code examples demonstrating secure coding practices.

Build a Simple Data Analysis Script

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Apply your SQL and Python skills by building a script that retrieves data from a database and performs basic analysis.

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Choose a dataset and define a data analysis goal.
Write Python code to connect to the database and execute SQL queries.
Analyze the retrieved data and generate insights.
Visualize the results using libraries like Matplotlib or Seaborn.

Read 'SQL Cookbook'

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Expand your SQL knowledge with a collection of practical recipes for solving common data manipulation problems.

View SQL Cookbook on Amazon

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Browse the table of contents to identify relevant recipes.
Study the code examples and explanations for each recipe.
Adapt the recipes to solve your own data manipulation challenges.

Contribute to an Open Source SQL Project

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Enhance your skills by contributing to an open-source project that uses SQL and Python, gaining real-world experience and collaborating with other developers.

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Find an open-source project on GitHub that uses SQL and Python.
Identify a bug or feature to work on.
Submit a pull request with your changes.
Participate in code reviews and discussions.

Career center

Learners who complete Practical SQL With Python In 3 Days: Beginner to Pro will develop knowledge and skills that may be useful to these careers:

Data Analyst

A data analyst examines data to draw conclusions about that information. This course helps build a foundation for data analysis by providing practical experience with SQL and Python, two essential tools in the field. The course focuses on using SQL with Python to interact with databases, which is at the core of what a data analyst does. Working through projects involving SQLite, MySQL, and PostgreSQL may prove useful to a data analyst. The hands-on coding exercises in this course, along with the detailed explanations, are invaluable for anyone looking to become a data analyst.

See salaries and explore the career path for Data Analyst

Data Engineer

Data engineers design, build, and maintain data pipelines and infrastructure. This course helps build a foundation for this career because it covers essential skills such as working with SQL databases in Python. It also teaches how to build and deploy a web based application programming interface, using FastAPI and PostgreSQL. The real world projects in SQLite, MySQL and PostgreSQL are invaluable to becoming a data engineer. This course also introduces dynamic SQL generation and prepared statements, which are crucial tools for data engineers.

See salaries and explore the career path for Data Engineer

Backend Developer

Backend developers focus on the server side logic and databases of web applications. This course provides a solid foundation for backend development, particularly if the role involves working with databases. The course delves into working with SQL databases using Python, covering topics such as database connections, transactions, and query execution. The building of a web based application programming interface using FastAPI and PostgreSQL, provides practical skills. This course may prove useful to backend developers that wish to improve their database competence.

See salaries and explore the career path for Backend Developer

Data Scientist

Data scientists analyze complex data sets to extract meaningful insights and develop data driven solutions. This course helps build a foundation for data science by providing hands on experience with SQL and Python, which are fundamental tools for data manipulation and analysis. The course covers how to work with SQL databases in Python. The advanced topics, such as dynamic SQL generation and prepared statements, are invaluable for data scientists who need to perform complex data queries and transformations.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine learning engineers develop and deploy machine learning models. This course helps build a foundation for machine learning by teaching the use of SQL and Python for data handling. The course covers how to interact with SQL databases in Python. The exposure to dynamic SQL generation, prepared statements, and different database systems helps a machine learning engineer to solve data related challenges. A machine learning engineer can use these skills to improve model training and deployment.

See salaries and explore the career path for Machine Learning Engineer

Software Developer

Software developers design, code, and test software applications. Through its coverage of SQL and Python, this course helps build a foundation for software development, especially for applications that interact with databases. The course projects, which involve building applications with SQLite, MySQL, and PostgreSQL, provide practical experience in integrating databases into software. The focus on writing a lot of code from scratch and understanding the underlying programming concepts is invaluable for any aspiring software developer. A software developer will want to be competent in the languages that are used in this course.

See salaries and explore the career path for Software Developer

Database Developer

Database developers design and implement databases. This course allows developers to delve into SQL with Python, covering database connections and transactions. The building of the School Registrar is hands on experience in database management concepts. A database developer will be able to use these skills in their career. The work with database systems like SQLite, MySQL, and PostgreSQL may be useful to a database developer.

See salaries and explore the career path for Database Developer

ETL Developer

ETL developers design, build, and maintain processes to extract, transform, and load data from various sources into a data warehouse or other systems. The course work allows you to build a foundation for this career because it provides hands on experience with SQL, Python, and a variety of database systems. The course may prove useful to an ETL developer because it covers dynamic SQL generation and prepared statements. Also, the course teaches learners how to use FastAPI and PostgreSQL. These are all important skills for ETL developers.

See salaries and explore the career path for ETL Developer

Business Intelligence Analyst

Business intelligence analysts analyze data to identify trends and insights that can improve business decisions. This course helps build a foundation for this career by providing practical skills in SQL and Python. The course focuses on how to work with SQL databases in Python. The course may be useful to learners that hope to perform data analysis and reporting, using tools like SQLite, MySQL, and PostgreSQL. The hands on coding assignments and detailed explanations can help business intelligence analysts to become more effective in their roles.

See salaries and explore the career path for Business Intelligence Analyst

Full-Stack Developer

Full stack developers work on both the front end and back end of web applications. This course may be valuable to a full stack developer and helps build a foundation to become one because it provides a deep dive into back end technologies with SQL and Python. The course covers building web based APIs with FastAPI and PostgreSQL. This hands on approach to building projects, combined with practice, will help a full stack developer understand how to work with data driven applications, making their applications high quality. A full stack developer will find that this course complements their work on the front end.

See salaries and explore the career path for Full-Stack Developer

Reporting Analyst

Reporting analysts create reports and dashboards to help organizations monitor performance and make data driven decisions. This course is a solid foundation for this role by providing practical skills in SQL and Python. The course goes over working with SQL databases in Python. A course like this one may be useful for reporting analysts in their roles performing data analysis and reporting, using database systems like SQLite, MySQL, and PostgreSQL.

See salaries and explore the career path for Reporting Analyst

Database Administrator

Database administrators are responsible for the performance, integrity, and security of databases. This course may be useful to aspiring database administrators because it provides a deep dive into SQL using Python, covering database connections, cursors, and transactions. This course also explores generating dynamic SQL and working with various SQL database systems like SQLite, MySQL, and PostgreSQL. The practical projects, such as building a school registrar, provide experience in database management concepts. A database administrator that has completed this course will be able to more effectively manage a database.

See salaries and explore the career path for Database Administrator

Application Developer

Application developers are responsible for designing, coding, and testing software applications. Application developers that focus on applications with data storage may find this course to be particularly useful. The course goes over working with SQL databases in Python. This course may be useful to application developers in various programming and computer science concepts. Application developers must be able to work with databases of all kinds in order to make the best applications possible.

See salaries and explore the career path for Application Developer

Solutions Architect

Solutions architects design and oversee the implementation of technology solutions. This course may allow solutions architects to better integrate data solutions into their architectures. This course may be useful to a solutions architect because it goes over working with SQL databases in Python, building, and deploying web based application programming interfaces using FastAPI and PostgreSQL, and more. A solutions architect looks to apply this knowledge to the design of database systems.

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Technical Consultant

Technical consultants provide expert advice and guidance to organizations on technology related issues. This course may allow technical consultants to advise more effectively on data architecture and database solutions. This course may be useful to technical consultants because it goes over database connections, transactions, query execution, exploration of dynamic SQL generation, prepared statements, and more. Technical consultants apply what they learn to many different organizations, making them better consultants.

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Practical SQL With Python In 3 Days

Beginner to Pro

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What's inside

Learning objectives

Syllabus

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Reviews summary

Intensive practical sql and python

Activities

Career center

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