What is Data Engineering?

Demystifying Crucial Statistics in Python. For Loops in R. Customer Segmentation in Python. Writing R code the right way. Convolutional Neural Networks. Feature Selection in Python. And more!  [DataCamp](  ISSUE #65 — OCTOBER 2, 2018  Hello - this week's featured top posts explore what data engineering is, convolutional neural networks, writing R code the right way, For Loops in R, introducing customer segmentation in Python and much more! In this week's DataFramed episode, Hugo Bowne-Anderson speaks with Vicki Boykis about what full-stack end-to-end data science actually is and how it works in a consulting setting across various industries. Check it out! [Listen Now](  Community Top Posts  [1]( [What is Data Engineering?](  DATA ENGINEERING  |  Posted by hillary  [Upvotes]( 11 In this blog, you will learn what data engineering entails along with learning about our future data engineering course offerings.  [2]( [Demystifying Crucial Statistics in Python](  MACHINE LEARNING  |  Posted by spsayakpaul  [Upvotes]( 11 Learn about the basic statistics required for Data Science and Machine Learning in Python.  [3]( [Introduction to Customer Segmentation in Python](  PYTHON  |  Posted by avinashnvln8  [Upvotes]( 11 In this tutorial, you're going to learn how to implement customer segmentation using RFM (Recency, Frequency, Monetary) analysis from scratch in Python.  [4]( [Beginner's Guide to Feature Selection in Python](  PYTHON  |  Posted by spsayakpaul  [Upvotes]( 11 Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python.  [5]( [In A Nutshell: Convolutional Neural Networks (CNNs)](  MACHINE LEARNING  |  Posted by rizwankhan19  [Upvotes]( 11 In this article, you will learn about the convolution operation, padding, pooling, convolutional layers and CNN architecture with graphical illustrations.  [6]( [R Best Practices: R you writing the R way!](  R PROGRAMMING  |  Posted by virajb  [Upvotes]( 10 This post covers some of the R programming best practices that can be implemented by programmers to improve code readability, consistency, and repeatability.  [7]( [How Softmax Activation Function Works?](  NEURAL NETWORKS  |  Posted by rizwankhan19  [Upvotes]( 10 Unlike binary classification (0 or 1), we need multiple probabilities at the output layer of the neural network. This article explains the softmax activation function which is mostly used for classification problems for multiple probabilities.  [8]( [For Loops in R](  R PROGRAMMING  |  Posted by ryan  [Upvotes]( 9 This tutorial takes course material from DataCamp's Intermediate R for Finance course and allows you to practice For Loops.  [9]( [Architecture Explained of R Package for IB IBrokers](  FINANCE  |  Posted by virajb  [Upvotes]( 9 This article gives a detailed overview of the architecture of the IBrokers package which is the R implementation of Interactive Brokers API.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  [Alcoholic Beverage By Country](  Preferred alcoholic beverage by country in Europe: 1990 vs. 2015   That's all for now. Have a great week!   [DataCamp](  DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118  [Facebook]( [Twitter]( [LinkedIn]( [Instagram]( [YouTube](  [Download on the App Store]( [Get it on Google Play](  [Unsubscribe]( Â