In this tutorial, you will learn why it is important to pre-process data and how to do it in pandas. Learn how to use Python and R in conjunction with each other to utilize the best of both in a single data science project. In this tutorial, you'll learn how to create visualizations to display data and gain more meaningful insights with spreadsheets.
Learn how to analyze and display data using Power BI and make better, more data-driven decisions. In this video tutorial, you'll break down real-world questions to construct complex queries using CASE statements, subqueries, and common table expressions. In this video tutorial, you'll watch the end-to-end automation of a routine spreadsheet task being completed using Python. In this video tutorial, you'll be given a brief introduction to the concept of the tidyverse and then walk through an exploratory analysis. An easy-to-follow scikit-learn tutorial that will help you get started with Python machine learning. In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP). This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks. This Python for Finance tutorial introduces you to algorithmic trading, and much more. Learn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data. This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.