mateusvitorborges/my-data-scientist-roadmap

Description about my roadmap to become Data Scientist and Engineer Machine Learning

My Data Science Roadmap

Why this?

I want to track the progress of my studies in this broad area. I do not intend to list a huge number of resources or courses, just the ones that I have completed so far and the following ones that are on my mind for a next step (in a short/medium or even long term). Anyway, valuable resources that may be part of my plan in the future.

1. Courses

This section is to list the courses taken and those that will be done in the future.

	Name	School	End Date	Certified
✔️	Python Fundamentos para Análise de Dados	DS Academy	Dec 2017
✔️	Introdução à Ciência de Dados	DS Academy	Dec 2017
✔️	Python para Data Science e Machine Learning	Udemy	Feb 2018
✔️	Data Manipulation with Python Track	DataCamp	Jul 2018
✔️	Python Programmer Track	DataCamp	Aug 2018
✔️	Importing & Cleaning Data with Python Track	DataCamp	Aug 2018
✔️	Machine Learning with Python Track	DataCamp	Set 2018
✔️	Data Scientist with Python Track	DataCamp	Set 2018
✔️	Data Analyst with Python Track	DataCamp	Set 2018
✔️	Machine Learning e Data Science com Python de A à Z Completo	Udemy	Out 2018
✔️	Machine Learning A-Z™: Hands-On Python & R In Data Science	Udemy	Out 2018
✔️	Python 3 Completo - Iniciante ao Avançado	Udemy	Nov 2018
✔️	Formação Cientista de Dados com R e Python	Udemy	Nov 2018
◻️	Machine Learning Practical: 6 Real-World Applications	Udemy	Progress
◻️	Machine Learning A-Z : Become Kaggle Master	Udemy	Progress
◻️	Machine Learning Projects A-Z : Kaggle and Real World Pro	Udemy
◻️	Machine Learning and Data Science Hands-on with Python and R	Udemy
◻️	PyTorch Scholarship Challenge	Udacity	Progress
◻️	Deep Learning com Python de A à Z - O Curso Completo	Udemy
◻️	Deep Learning A-Z™: Hands-On Artificial Neural Networks	Udemy
◻️	Deep Learning and NLP A-Z™: How to create a ChatBot	Udemy
◻️	TensorFlow: Machine Learning e Deep Learning com Python	Udemy	Progress
◻️	Detecção de Faces com Python e OpenCV	Udemy
◻️	Deep Learning and Computer Vision A-Z™: OpenCV, SSD & GANs	Udemy
◻️	Deep Learning A-Z™: Hands-On Artificial Neural Networks	Udemy
◻️	Zero to Deep Learning™ with Python and Keras	Udemy
◻️	Complete Guide to TensorFlow for Deep Learning with Python	Udemy	Progress
◻️	TensorFlow and the Google Cloud ML Engine for Deep Learning	Udemy
◻️	PyTorch: Deep Learning with PyTorch - Masterclass!: 2-in-1	Udemy

2. Books

This is a selection of books for Data Science and related disciplines from which I have good references. The books are listed in descending order of publication date.

	Title	Author	Publisher	Release Date
◻️	Machine Learning with Python	Chris Albon	O'Reilly Media	March 2018
◻️	Jupyter for Data Science	Dan Toomey	O'Reilly Media	October 2017
◻️	Mastering Machine Learning with scikit-learn	Gavin Hackeling	Packt	October 2014
◻️	Introduction to Machine Learning with Python	David James	AI Sciences	Aug 2018
◻️	Hands-On Machine Learning with Scikit-Learn and Tensorflow	Aurélien Géron	O'Reilly Media	March 2017

3. References

• Pandas Documentation
• Scikit-Learn Documentation
• TensorFlow
• Keras
• Numpy and Scipy Documentation
• Amazing Cheats Sheet DataCamp

4. Contact

Linkedin: https://www.linkedin.com/in/joaopaulolndev/
Email: [email protected]