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Reducing Rework as a SQL Data Analyst!

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Numpy Explained. Reducing Rework as a SQL Data Analyst. Pros & Cons of Working Remotely in Analytics

Numpy Explained. Reducing Rework as a SQL Data Analyst. Pros & Cons of Working Remotely in Analytics. Creating and Deploying a Simple Bokeh Web App. And much more!  [DataCamp](  ISSUE #80 — JANUARY 29, 2019  Hi there - in this week's newsletter you'll find a new tutorial on reducing rework as a SQL data analyst along with articles about bokeh, numpy, interview questions, and much more! Also, don't forget to enter the #DataFramedChallenge for a chance to be on an upcoming podcast segment. [Find Out More](  Podcast  [DataFramed by DataCamp] Weapons of Math Destruction Get ready for season 2 of DataFramed by relistening to the last couple of episodes in Season 1. In episode 50, Hugo speaks with Cathy O’Neil, author of Weapons of Math Destruction, to discuss the current lack of fairness in artificial intelligence and much more. [Listen Now](  Community Top Posts  [1]( [Creating and Deploying a Simple Bokeh Web App](  BOKEH  |  Posted by kyle  [Upvotes]( 16 This is a brief article on building a Python-based web application with the bokeh visualization library and then deploying to Kyso, where you can share it with the world.  [2]( [Reducing Rework as a SQL Data Analyst](  SQL  |  Posted by mike-seekwell  [Upvotes]( 9 In this tutorial, you will learn how to maximize your time in SQL to become more productive.  [3]( [The Pros & Cons of Working Remotely in Analytics](  CAREERS  |  Posted by lindaburtch  [Upvotes]( 9 In this post, you will look at some of the pros and cons when working remotely as an analytics professional, as well as questions to consider when evaluating a remote opportunity.  [4]( [Connecting R to a Redshift Data Warehouse for Machine Learning](  MACHINE LEARNING  |  Posted by skylershasky  [Upvotes]( 9 In this blog, you will learn how to collect data into R via an Amazon Redshift cluster in Panoply, visualize it, create predictive models, and test their accuracy.  [5]( [NumPy Explained!](  NUMPY  |  Posted by rohitmidha23  [Upvotes]( 9 This article gives an introduction to numpy and its various attributes.  [6]( [129 Realtime Python Interview Questions and Answers](  JOBS  |  Posted by poojakaur  [Upvotes]( 7 In this article, you will learn about 120+ realtime Python interview questions and answers for beginners, experienced professionals, data scientists, machine learning engineers, and AI engineers.  [7]( [Top Machine Learning Blogs Of 2018](  MACHINE LEARNING  |  Posted by virajb  [Upvotes]( 6 This article lists the top machine learning blogs for beginners as well as advanced readers so you can learn how to apply machine learning to financial trading.  [8]( [The Most Intuitive and Easy Guide for Convolutional Neural Networks](  NEURAL NETWORK  |  Posted by jiwonjeong  [Upvotes]( 6 This guide helps the reader fully understand and demystify what convolutional neural networks are and why they are used.  [9]( [What is Automated Machine Learning (AutoML)?](  MACHINE LEARNING  |  Posted by kartik-patel  [Upvotes]( 6 This blog post defines what AutoML is and explains what it should be used for.   [DataCamp Community]( BY THE COMMUNITY, FOR THE COMMUNITY [Discover](  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

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