Learn Data Sci

02/27/2019

Want to learn machine learning this year? Here's the best five on the Internet to get started. All Free to audit.

Learn Machine Learning this year from these top courses. Average time to learn is between 4-10 months. Curriculum and learning guide included.

11/27/2018

Part one of this series focuses on requesting and wrangling HTML using two of the most popular Python libraries for web scraping: requests and BeautifulSoup.

Learn how to:
– Request web pages
– Get data from HTML
– Save and load scraped data
– Scrape multiple pages in a row
– View and plot data using Pandas and Matplotlib

0SHARES Author: Brendan MartinFounder of LearnDataSci Ultimate Guide to Web Scraping with Python Part 1: Requests and BeautifulSoup Part one of this series focuses on requesting and wrangling HTML using two of the most popular Python libraries for web scraping: requests and BeautifulSoup After the 2...

07/19/2017

Learn how to create a more complex trading strategy with simple and exponential moving averages in Part 3 of the Python for Finance series.

http://www.learndatasci.com/python-finance-part-3-moving-average-trading-strategy/

In this article, we will start designing a more complex trading strategy, which will have non-constant weights wi(t)wi(t), and thus adapt in some way to the recent behaviour of the price of our assets.

07/08/2017

Springboard recently released a new workshop, called the Data Science Career Track, and after a couple of months of access, we wrote a complete review of the platform.

Unfortunately, we're a little late since they're closing off new applications this Monday, July 10th, but I still hope you all find it interesting to see what's inside!

http://www.learndatasci.com/springboard-data-science-career-track-review/

05/23/2017

Let's start diving into some of the math behind a simple quantitative trading strategy.

http://www.learndatasci.com/python-finance-part-2-intro-quantitative-trading-strategies/

05/20/2017

PyData Seattle 2017 is coming up!

If you haven't heard of PyData, check out some of their past talks on YouTube: https://www.youtube.com/user/PyDataTV

More info about this year's talks will be on https://pydata.org/seattle2017/

and you can grab your tickets to PyData Seattle here: https://www.eventbrite.com/e/pydata-seattle-2017-tickets-33165940220

PyData is a gathering of users and developers of data analysis tools in Python. The goals are to provide Python enthusiasts a place to share ideas and learn ...

03/29/2017

What does Reddit think of Trump?

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03/21/2017

Stats a little rusty?

Essential Statistics for Data Science: A Case Study using Python, Part I System requirements: Language: Python 3.5 Libraries: statsmodels, pandas,

02/03/2017

Wondered about clustering techniques using Python?

http://www.learndatasci.com/k-means-clustering-algorithms-python-intro

In this intro cluster analysis tutorial, we’ll check out a few algorithms in Python so you can get a basic understanding of the fundamentals of clustering on a real dataset.

04/22/2016

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02/21/2016

02/13/2016