SQL to Python for Beginners
- Basic Knowledge of Python
In this course you will learn how to use the Python Pandas library to achieve the core SQL functionality listed below.
If you are ready to make the leap from SQL to Python, this course will help you through your adoption and increased usage of Python for data manipulation, transformation and ultimately data analysis.
Understanding how to achieve SQL data manipulation features in Python will serve as your foundation for using Python for advanced analysts, data science and other machine learning tasks.
This course is recommended for anyone who is comfortable with SQL and would like to increase their adoption of Python for their day to day. It's also recommended that you have a base understanding of Python or some familiarity of any programming language in order to get the most of this course. Other prerequisites will be outlined in the Introduction video, but having the following set up on your computer ahead of time will allow you to dive right in.
Python 3.7 or above installed
pandas library installed (pip install pandas)
IDE (e.g. PyCharm, VS Code)
Git (optional, for cloning repo with code examples)
Core Concepts taught in this course
Core SQL Concepts translated to Python Pandas code are:
SQL WHERE / AND (Multiple Predicates)
SQL IN ( )
SQL NOT IN ( )
SQL Aggregate Functions
SQL COUNT DISTINCT
SQL AVERAGE / MEAN
Mode (Not usually available in most SQL databases)
SQL Group by Aggregates
SQL Row Number over (partition by / order by)
SQL Case Statements
Thank you for enrolling in this course! Enjoy!
Who this course is for:
- Data Analysts
- Data Scientists new to Python
- Business Intelligence Analysts
As Analytics and Business Intelligence professional, I've had the privilege to apply analytical, technical and business expertise across a variety of domains such Marketing, Customer Success, Research and Development, Retail and Ecommerce.
Each course that I create will be aimed at helping you focus on the key aspects of the technical skills you desire to develop for the purpose of immediate application and personal acclimation.
I'm excited that you are here because it means that you want to grow your career and I want to be the there to help. I'm happy to share my experiences so that your track to success is better than mine! I've been in your shoes and together, we will get you where you want to be.