📖 The SQL Circle

🔅 ETL in Python and SQL

🌐 Author: Jennifer Ebe
🔰 Level: Intermediate

⏰ Duration: 1h 20m

🌀 Gain the knowledge you need to build data pipelines in a data-driven world.

📗 Topics: SQL, Extract, Transform, Load, Python

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📂 Full denoscription

Data is increasing exponentially as the world continues to generate an immense amount. In this course, a data engineer with over 5 years of experience, Jennifer Ebe, will show you how to build systems that gather data from various sources, transform it and store data so you can derive insights from it effectively. We will go over what ETLs are and how you create them. We will learn how to use Python to extract and transform data, we will explore our data using pandas and SQL. And finally, load data into our target system. You will also get practice scheduling ETL jobs using Python. Each chapter comes with helpful, hands-on challenges to help you practice what you learn.

📱Data Analysis
📱ETL in Python and SQL

📖 Most Important Distributions in Data Science

📖 SQL Joins Cheat Sheet

🔅 Python Data Analysis for Healthcare

🌐 Author: Wuraola Oyewusi
🔰 Level: Advanced

⏰ Duration: 2h 48m

🌀 Learn how to use Python data analysis for a range of practical use cases in the healthcare industry.

📗 Topics: Data Analysis, Healthcare Analytics, Python

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📂 Full denoscription

The healthcare industry is one of the most diverse sources of data, from clinical to administrative to sales and supply chain, and even regulatory data. This course with data scientist and pharmacist Wuraola Oyewusi teaches you how to use Python for a wide range of data analysis scenarios in healthcare. Wuraola covers practical use cases like statistical data analysis, data manipulation, wrangling, and visualization using Python programming for different scenarios in the healthcare industry.

📱Data Analysis
📱Python Data Analysis for Healthcare

🥇 40+ Real and Free Data Science Projects

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✏️ There are no beginner projects here; you work with real datasets. Each project is well thought out and guides you step by step. For example, you can build a stock forecasting model, analyze customer behavior, or even study the impact of major global events on your data.

┌🏳️‍🌈 40+ Python Data Science Projects
└ 🌎 Website