Welcome to my learning journal. I'm one of the first students of the Data Science School of Platzi. The idea with this School is to give their students all the skills they need to land their first job as Data Scientist.
Also, the idea is to teach the foundations of Computer Science. Because any person working in this fields needs to know how to learn and adapt the knowledge they have. Never stop learning is part of becoming a Data Professional.
Platzi doesn't give you all the knowledge. They give you the important parts and then invite you to ask questions, to investigate, to seek the answers for yourself.
My current status today, June 1st, 2020 is:
- Total courses of the Career: 7/22
- Complementary courses: 14
In this repo you're going to find some of the notes that I took while taking the courses. Most of them are in Spanish (my native language). Soon I'm going to translate them to English.
Also, I want to be clear with something: my idea is to share a little bit of what I'm studying, not to share publicly what Platzi is building for their students. Hope that you could understand. Thank you.
Core level projects: [Add link]
| # | Course Name | Done? | Files |
|---|---|---|---|
| 1 | Ingeniería de Datos con Python | - | See folder |
| 2 | Web Scrapping: Extracción de Datos de la Web | - | See folder |
| 3 | Fundamentos de Web Scrapping con Python y Xpath | - | See folder |
Data engineering projects: [Add link]
| # | Course Name | Done? | Files |
|---|---|---|---|
| 1 | Fundamentos de Estadística y Análisis de Datos con Python | - | See folder |
| 2 | Práctico de Regresión Lineal con Python | - | See folder |
| 3 | Fundamentos de R | - | See folder |
| 4 | PostgreSQL Aplicado a Ciencia de Datos | - | See folder |
| 5 | Manipulación y Análisis de Datos con Pandas y Python | - | See folder |
Data Science projects: [Add link]
| # | Course List | Done? | Files |
|---|---|---|---|
| 1 | Fundamentos de Álgebra Lineal con Python | - | See folder |
| 2 | Introducción a Machine Learning | - | See folder |
| 3 | Álgebra Lineal Aplicada para Machine Learning | - | See folder |
| 4 | Redes Neuronales en Keras y SciKit Learn | - | See folder |
| 5 | Fundamentos de Procesamiento de Lenguaje Natural | - | See folder |
Machine Learning projects: [Add link]
| # | Course List | Done? | Files |
|---|---|---|---|
| 1 | Álgebra | X | See folder |
| 2 | Pensamiento Lógico | X | See folder |
| 3 | Probabilidad y Estadística | X | See folder |
| 4 | Expresiones Regulares | X | See folder |
| 5 | Profesional de Ciencia de Datos | X | See folder |
| 6 | PostgreSQL | X | See folder |
| 7 | Google Data Studio | X | See folder |
| 8 | Introducción a Business Intelligence con Power BI | X | See folder |
Related projects: [Add link]
| # | Course List | Done? | Files |
|---|---|---|---|
| 1 | Desbloquear tu Creatividad | X | See folder |
| 2 | Estrategias para Aprender en Línea Efectivamente | X | See folder |
| 3 | Gestión Efectiva del Tiempo | X | See folder |
| 4 | Técnicas de Formación Efectiva | X | See folder |
| 5 | Creación de Portafolio y CV | X | See folder |
| 6 | Meditaciones para Seguir Aprendiendo | X | See folder |
Things that I want to share: [Add link]
Hope that this help you and guide you if you're trying to start your path as Data Scientist.
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Thank you! Have a good day
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