Groupby, split-apply-combine and pandasIn this tutorial, you'll learn how to use the pandas groupby operation, which draws from the well-known split-apply-combine strategy, on Netflix movie data.
Detecting Fake News with Scikit-LearnThis scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
SQL Tutorial: How To Write Better QueriesLearn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
TensorFlow Tutorial For BeginnersLearn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
Python For Finance: Algorithmic TradingThis Python for Finance tutorial introduces you to algorithmic trading, and much more.
Keras Tutorial: Deep Learning in PythonThis Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
importing & cleaning data+1
Python Excel Tutorial: The Definitive GuideLearn how to read and import Excel files in Python, how to write data to these spreadsheets and which are the best packages to do this.
15 Easy Solutions To Your Data Frame Problems In RDiscover how to create a data frame in R, change column and row names, access values, attach data frames, apply functions and much more.
Python Machine Learning: Scikit-Learn TutorialAn easy-to-follow scikit-learn tutorial that will help you to get started with the Python machine learning.
Jupyter Notebook Tutorial: The Definitive GuideThis tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.
learning data science+1
The Data Science Industry: Who Does What (Infographic)This infograph compares the roles of data scientists, data analysts, data architects, data engineers and more in the data science industry.