Top 10 Breakthroughs in Big Data Science in 2017

Duolingo-Style Learning for Data Science. Top 10 Breakthroughs in Big Data Science in 2017. Python String Tutorial. [DataCamp]( DataCamp Weekly Issue #32 ― January 23, 2018 Hello everyone - we’re back with DataCamp Weekly today after a short hiatus last week due to us launching [DataCamp Projects](. Which means we have some catching up to do. That said, we’re launching something new this week as well: a new DataCamp podcast hosted by Hugo Bowne-Anderson. More on that below. We also have a new Python cheat sheet, Transfer Learning tutorial, Machine Learning with Kaggle and more! This issue is packed with content so make sure to check it all out! Enjoy. 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 [DataFramed]( [New DataCamp Podcast: DataFramed]( In this podcast by DataCamp, Hugo Bowne-Anderson covers a range of subjects from automated medical diagnosis to self-driving cars, come on a journey with industry and academic experts to explore the inner workings of the data science industry. The first 6 episodes are already available on iTunes and Google Play and we'll release episodes weekly. Make sure to subscribe, rate and review if you like it! [datacamp.com]( [Importing Data in Python Cheat Sheet]( With this new Python cheat sheet, you'll have a handy reference guide to importing your data, from flat files to files native to other software, and relational databases. Great to have this printed out and available on your desk! [datacamp.com]( [Duolingo-style Learning for Data Science]( Master data science on the go with DataCamp Mobile, a Duolingo-style app which offers bite-sized lessons you can complete in 5 minutes or less. If you’re interested in learning more about the vision behind the app, and what to look for in the future in terms of improvements, this post is for you! [datacamp.com]( [Python String Tutorial]( In this tutorial, you'll learn all about Python Strings: slicing and striding, manipulating and formatting them with the Formatter class, f-strings, templates and more! Must read for beginners and intermediates. [datacamp.com]( [Transfer Learning: Leverage Insights from Big Data]( Here, you’ll learn what transfer learning is, what some of its applications are, and why it is a critical skill to have as a data scientist. You’ll be walked through various applications, general concepts and more. [datacamp.com]( In the News [Top 10 Breakthroughs in Big Data Science in 2017]( These are the 10 biggest breakthroughs that illustrate the potential of data science in harvesting usable information from big data and how many different fields data science will help move forward. 2017 was a good year for the field and hopefully, 2018 will be even better. [datacamp.com]( [What Exercises Do You Use To Teach Programming?]( Which kinds of exercises can be used to check that students are actually learning how to program, let them practice their new skills, and keep them engaged? DataCamp’s Greg Wilson explores this question in this article. [datacamp.com]( [Recommender Systems in Python: Beginner Tutorial]( Learn how to build your own recommendation engine with the help of Python, from basic models to content-based and collaborative filtering recommender systems. [datacamp.com]( [Machine Learning with Kaggle: Feature Engineering]( Learn how feature engineering can help you to up your game when building machine learning models in Kaggle: create new columns, transform variables and more! [datacamp.com]( [Time Series Analysis Tutorial with Python]( This tutorial covers how to get Google Trends data of keywords such as 'diet' and 'gym' and see how they vary over time while learning about trends and seasonality in time series data. These words have particularly interesting variations around the new year. [datacamp.com]( Elsewhere • [How Quora’s Head of Data Science Conducts Candidate Interviews]( • [A Beginner’s Guide to Data Engineering — Part I]( • [General Linear Models: The Basics]( • [Wrapping Access to Web-Services in R-functions]( Jobs • [Lead Data Scientist, Poki, Amsterdam]( • [Data Analyst, Factual, Los Angeles]( • [Data Scientist, AxialHealthcare, Nashville]( • [Senior Data Scientist, HelloFresh, Berlin]( From the free DataCamp Project: [Phyllotaxis - Draw flowers using mathematics]( 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](