SQL + Python: Master Data Analysis and Create PDF Reports

𝗗𝗘𝗦𝗖𝗥𝗜𝗣𝗧𝗜𝗢𝗡
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In this tutorial, I'll show you how to use Python and SQL to transform your data into stunning PDF reports. Whether you're an analyst, a business owner, or just looking to create professional-looking reports for your own use, this tutorial will guide you step-by-step through the process.

First, I'll show you how to set up a SQLite database and load sample data into it using Python. Next, I'll demonstrate how to use SQL queries to extract the data you need from the database. Then, I'll use Pandas to manipulate and transform the data, and show you how to create interactive charts with Plotly Express.

Once we have our data prepped and ready, I'll use the FPDF library to generate a beautiful PDF report.

Whether you're a beginner or an experienced Python user, this tutorial will give you the skills you need to create stunning PDF reports with ease. Follow along, and transform your data into stunning reports that will impress your audience!

🌍 𝗟𝗜𝗡𝗞𝗦:

⭐ 𝗧𝗜𝗠𝗘𝗦𝗧𝗔𝗠𝗣𝗦:
0:00 - Introduction
0:33 - Explaining Database Tables
2:05 - Creating Database with Python
3:04 - Inspecting Database
3:53 - Installing & Importing Dependencies
4:23 - Define Paths and Charts
5:24 - Total Sales by Month
8:36 - Total Sales by Product
9:20 - Top Customers by Sales
9:54 - Create PDF Report
11:22 - SQL vs Pandas
12:11 - Close Database Connection
12:48 – Outro

𝗧𝗢𝗢𝗟𝗦 𝗔𝗡𝗗 𝗥𝗘𝗦𝗢𝗨𝗥𝗖𝗘𝗦
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𝗖𝗢𝗡𝗡𝗘𝗖𝗧 𝗪𝗜𝗧𝗛 𝗠𝗘
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☕ 𝗕𝘂𝘆 𝗺𝗲 𝗮 𝗰𝗼𝗳𝗳𝗲𝗲?
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[CodingIsFun]

*Thanks for watching! What's your favourite data analysis tool? Excel, SQL, Python, ... ? Comment below* ⤵

[ricardo.alves.campos]

I think it's only you who is able to make a video with so much information in a short time but to explain in an extremely clear and simple way, all my congratulations for this video. 👍

[pardeepsingh]

This is one of the best channels you tube has ever recommended me..

[sujungpark]

You're making a huge impact ! You made it easy to understand and you truly care about your subscriber who really need it 😮 Thank you so much 🙏

[dev_apostle]

more tutorials like this please. love it . keep it coming

[sudharsananss]

Its impressive and amazing. You are really rocking and thanks a ton for your efforts!!!

[whatis_asis]

Excellent thanks. The SQL-Python videos are really helpful.

[jimmymahoney]

Loved the video! Super informative and a hugely helpful resource. Excited to follow through and check out your other videos.
Dankeschön

[mazkaibil]

This is an amazing tutorial made simple. Thank you!

[NaveenKumar-bloy]

This is the video i was searching and waiting --- Writing SQL Queries in Python and -- can you pls make some videos again to Automate Excel Works of Employess do in companies -- like applying filters and to make summary according to sellers and those summary --- need to copy and then paste in new excel files as per sellers sheets

[darkprince]

Loved it, learnt using python with sql which i need to use in my own projects

[relaxo]

Thanks a lot for making this available on youtube

[prashlovessamosa]

Thanks that's what I was looking for.

[solom]

Great tutorial. I tend to stay away from packages to generate things like pdfs and powerpoint, instead preferring to use Quarto.

[williansuarez]

¡Excelente video! es bastante trabajo pero está impresionante, continúa así, saludos desde Venezuela

[miscoadre]

I love this tutorial, I'm exciting to recreate the same steps, but with Spark Python and using Machine Learning

[martinbottcher]

Hey Coding is Fun,
those videos are really great and have pushed my workouput by a lot!
Could you by any chance tell me which tool did you use for the ER-Model?
Continue the great work!

[ordaflash]

Excellent video as usual.
Is it possible to do a tutorial on a webapp that combines SQL/Pandas and Streamlit ?
Thank you so much for your efforts !

[unusedTV]

My issue with this tutorial is that the most difficult part is actually glossed over: what does the business need to know? We can investigate whatever we want but we also need things that are actionable. So how do we decide what to look into further? Or are we just doing EDA? For example, you plot revenue per product. But what does that really mean? And if we don't account for price differences, margin, or co-sales (people buy X because they also buy Y) the insights are meaningless.

[davewhatever]

Loved that video. I'm just getting started with python and SQLite. What software do you use for your entity relationship model? Thanks