Thread by @meuralnetwork

Python for data science beginners roadmap

A thread 🧵👇

1. Python Basics
Codecademy's Python Course (codecademy.com/learn/learn-py…)
Python for Everybody Course (py4e.com)

2. Data Analysis Libraries
NumPy User Guide (numpy.org/doc/stable/use…)
Pandas User Guide (pandas.pydata.org/docs/user_guid…)
Matplotlib Tutorials (matplotlib.org/stable/tutoria…)

3. Data Science Libraries

Scikit-Learn User Guide (scikit-learn.org/stable/user_gu…)
TensorFlow Tutorials (tensorflow.org/tutorials)
Keras Tutorials (keras.io/guides/)

Data Science Projects
Finally, you should practice what you have learned by working on data science projects.
Kaggle (kaggle.com)
Data.gov (data.gov)
UCI Machine Learning Repository (archive.ics.uci.edu/ml/index.php)

Thank you so much for reading this, for more follow @meuralnetwork

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#DataScience
#MachineLearning
#DeepLearning
#ArtificialIntelligence
#DataAnalysis
#DataVisualization
#BigData
#Numpy
#Pandas
#Matplotlib
#ScikitLearn
#TensorFlow
#Keras
#JupyterNotebook
#DataMining
#DataEngineering
#Statistics
#DataPreprocessing
#DataCleaning