13 Data Science New Year’s Resolutions for 2018

Happy new year! A special message from DataCamp CEO. 17 #Rstats tweets from 2017. Facebook Live. 5 learning tools to better yourself in 2018. [DataCamp]( DataCamp Weekly Issue #30 ― January 4, 2018 First off - the whole DataCamp team wishes you a happy new year! On that note, we have a special message from our CEO Jonathan Cornelissen. With so many people making resolutions for the new year, we thought it was only right for DataCamp to make a few resolutions of its own. [Watch the video here.]( We’re starting off this year strong, with a look back at 2017 as well as a look towards 2018 and what it brings to the field of data science. Below you’ll find 13 data science new year’s resolutions, 17 R tweets from 2017, advanced NumPy techniques, 5 learning tools to better yourself this year, and much more! Like what you’re seeing? Forward to a friend! Received this email from a friend? [Sign up]( for a DataCamp account to to receive a dose of data science every Tuesday. Projects & Resources [Live Coding: New Year's Resolutions with Google Trends]( We’re going live on Facebook this morning for some live coding, [join us at 10:30 am ET]( on Facebook to see DataCamp’s Hugo Bowne-Anderson dive into a google trend analysis of words such as ‘diet', 'gym' and 'finance' to see how they vary over time. See you soon! [facebook.com]( [13 Data Science New Year’s Resolutions for 2018]( Did you set some personal goals for this year? Check out this list of data science new year's resolutions for 2018. From newbies to established professionals, this post will inspire you to meet your learning objectives! [datacamp.com]( [17 #rstats Tweets From 2017]( Each year we tweet nearly 200 billion times. Here are 17 #rstats tweets from 2017 we particularly enjoyed. If you have additional suggestions, share them with us on Twitter [@DataCamp](. [datacamp.com]( [Advanced Numpy Techniques]( NumPy is a fundamental package to any data-focused Python application. This article gives an overview of NumPy and some advanced techniques. With only a couple useful functions, you can make a great leap forward towards your mastery of NumPy! [jupyter.org]( [Docker for Data Science]( This article makes a case for Docker to be part of every data science pipeline, as it allows you to distribute your code and environment seamlessly. This video shows you how simple it is to use Docker and how much time it can save you going forward. [kdnuggets.com]( In the News [5 Learning Tools to Better Yourself in 2018]( An investment in education pays the best interest. From data science to reading more books and learning a new language, here is a collection of 5 great learning resources for 2018! [datacamp.com]( [Kaggle Tutorial: Your First Machine Learning Model]( Learn how to build your first machine learning model, a decision tree classifier, with the Python scikit-learn package, submit it to Kaggle and see how it performs! This is the second part of the written version of our previous code-along event on the Titanic Kaggle competition. [datacamp.com]( [2017. Quantified. In. R.]( These types of posts are common at this time of year. But this one allows you to easily replicate these visualizations in R. Interested in seeing your weekly GitHub activity, or tweet length distribution over the past 2 years? Check out this post and let us know if you find anything surprising! [rud.is]( [A collection of interesting and tricky Python examples.]( Python is a great language rapidly growing in popularity. But it also has its share of surprising outcomes from code snippets. This GitHub repo is a collection of these unintuitive results that experienced programmers might have run into in the past. [github.com]( Elsewhere • [Using R on Android]( • [Are #python users more likely to get into Slytherin?]( • [Bad R habits? Here’s how to identify and fix them.]( • [Every Single Hour Of My 2017 Recorded]( Jobs • [Data Analyst, Zapier, Remote OK]( • [Director Data Strategy, NBA, Shanghai]( Average search interest in 'cheese' & 'kale' in the UK (Python with Google Trends) That's all for now. Have a great week! [DataCamp] [DataCamp]( DataCamp Inc. | 350 Fifth Avenue | Suite 7730 | New York, NY 10118 [Facebook] [Facebook]( [Twitter] [Twitter]( [LinkedIn] [LinkedIn]( [YouTube] [YouTube]( [Unsubscribe](