Pablo @podatacoder

Data Analyst | Passionate about Python, SQL & Data Science | Sharing projects, tips, and insights as I navigate this exciting journey. Let’s learn together! github.com/pablocodelearn… España Joined January 2023

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Pablo @podatacoder

3 months ago

ticketswap.com/listing/soda-s… Vendo entrada para Soda Stereo en Madrid. 24/09/2026. Al precio original de la entrada. #sodastereo #movistararena #ticketswap #madrid

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Pablo @podatacoder

a year ago

En SQL, es fácil contar el número de los distintos valores de una variable categórica. Pero, ¿y si queremos saber también la proporción? Aquí va una de las queries que podemos usar para saberlo, ideal para generar un dashboard rápido con esta información:

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Pablo @podatacoder

a year ago

I may not be an expert in machine learning, but I DO KNOW SQL: I got 25 out of 25 points on the SQL Quiz from W3Schools w3schools.com/quiztest/quizt…

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Pablo @podatacoder

a year ago

Long time without posting here! I am still searching for work as data analyst. I have no real experience yet, despite I have done my own projects: github.com/pablocodelearn…

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Pablo @podatacoder

2 years ago

Hi Data Science lovers. This is my latest Tableau dashboard. It shows insights from a fictional e-learning platform for which I design a MySQL database public.tableau.com/views/Cloudcad… @tableaupublic #datascience #sql #tableau #visualization

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Pablo @podatacoder

2 years ago

8/8: 🛠️ Conclusion Faker is a powerful tool for any developer needing fake data. Whether it’s for testing or populating your app, it’s a must-have in your toolkit! Give it a try! 💻 #Python #Faker #DataGeneration

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Pablo @podatacoder

2 years ago

7/8: 🔄 Repeatable Data Want repeatable results? Use a seed! Faker.seed(0) print(fake.name()) This way, you’ll get the same fake data every time, perfect for testing! 🔁 #Testing

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Pablo @podatacoder

2 years ago

🧵 1/8: Hey Python learners! Today, I am going to tell you about the Faker module! 🎉 It’s a fantastic library for generating fake data for testing, development, or just for fun. Let’s explore how to get started! #Python #Faker

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Pablo @podatacoder

2 years ago

@Rajeshk7523 Data

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Pablo @podatacoder

2 years ago

This is an example of what you can design with @drawSQL (and also a sneak peek of the project I am building) Give it a try and tell me your impressions. drawsql.app

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Pablo @podatacoder

2 years ago

@kaggle @coursera @DataCamp 💵Extra tip! I did my training in Data Analytics at @Codecademy, which works by a monthly/annual subscription and it is very affordable. Also, they are constantly giving discounts, and their catalog is full of programming courses that don't require previous knowledge. Go for it!

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Pablo @podatacoder

2 years ago

6️⃣ Free Data Science Course Resources🎓 Want to dive deeper into Data Science without breaking the bank? Here are 3 amazing FREE resources: @kaggle courses for hands-on Python & ML @coursera "Data Science with Python" @DataCamp free SQL tracks

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Pablo @podatacoder

2 years ago

Feel free to read this small thread with 7 tips involving Data Science tools, AI, and networking. Please comment if you want more content like this:

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Pablo @podatacoder

2 years ago

7️⃣ Networking Tip🌐 Building your Data Science network is just as important as sharpening your skills. My advice: Engage with others by sharing insights, commenting on posts, and asking questions. You never know who you'll connect with! #Networking #DataScience #CareerGrowth