NumPy: Basic Statistics from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=13 Average versus median You now know how to use numpy functions to get a better feeling for your data. It basically comes down to im…

NumPy From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=1 Your First NumPy Array # Create list baseballbaseball = [180, 215, 210, 210, 188, 176, 209, 200] # Import the numpy package as npimport numpy as np #…

2D NumPy Arrays from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-4-numpy?ex=9 Your First 2D NumPy Array # Create baseball, a list of listsbaseball = [[180, 78.4],[215, 102.7],[210, 98.5],[188, 75.2]] # Import numpyimp…

Packages From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=10 Import package As a data scientist, some notions of geometry never hurt. Let's refresh some of the basics.We can do this by impo…

List from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-2-python-lists?ex=2 -----------------1------------------------------------- Create a list As opposed to int, bool etc., a list is a compound data type; you can gro…

Methods From:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=6 String Methods Strings come with a bunch of methods. Follow the instructions closely to discover some of them. If you want to disc…

Functions from:https://campus.datacamp.com/courses/intro-to-python-for-data-science/chapter-3-functions-and-packages?ex=1 Familiar functions output = function_name(input)such as result = type(3.0) # Create variables var1 and var2var1 = [1, 2, 3, 4]va…

Histograms from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=7 Build a histogram (1) life_exp, the list containing data on the life expectancy for different countries in 2007, is available in your Python shel…

Basic plots with matplotlib from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=1 Line plot (1) With matplotlib, you can create a bunch of different plots in Python. The most basic plot is the line plot. A gene…

Customization from:https://campus.datacamp.com/courses/intermediate-python-for-data-science/matplotlib?ex=13 Labels It's time to customize your own plot. This is the fun part, you will see your plot come to life! # Basic scatter plot, log scaleplt.sc…

I joined Analytics Vidhya as an intern last summer. I had no clue what was in store for me. I had been following the blog for some time and liked the community, but did not know what to expect as an intern. The initial few days were good – all the in…

Comes from: https://www.analyticsvidhya.com/blog/2017/05/questions-python-for-data-science/ Python is increasingly becoming popular among data science enthusiasts, and for right reasons. It brings the entire ecosystem of a general programming languag…

Intermediate Python for Data Science | DataCamp https://www.datacamp.com/courses/intermediate-python-for-data-science The intermediate python course is crucial to your data science curriculum. Learn to visualize real data with matplotlib's functions…

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Are you a interested in taking a course with us? Learn about our programs or contact us at hello@zipfianacademy.com. There are plenty of articles and discussions on the web about what data science is, what qualitiesdefine a data scientist, how to nur…

A Complete Tutorial to Learn Data Science with Python from Scratch Introduction It happened few years back. After working on SAS for more than 5 years, I decided to move out of my comfort zone. Being a data scientist, my hunt for other useful tools w…

11 Facts about Data Science that you must know Statistics, Machine Learning, Data Science, or Analytics – whatever you call it, this discipline is on rise in last quarter of century primarily owing to increasing data collection abilities and exponent…

Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place. The aim of this page is to provide a comprehensive le…

http://blog.csdn.net/pipisorry/article/details/44245575 关于怎么学习python,并将python用于数据科学.数据分析.机器学习中的一篇非常好的文章 Comprehensive learning path – Data Science in Python 深度学习路径-用python进行数据学习 Journey from a Pythonnoob(新手) to a Kaggler on Python So, you want to bec…

Comprehensive learning path – Data Science in Python Journey from a Python noob to a Kaggler on Python So, you want to become a data scientist or may be you are already one and want to expand your tool repository. You have landed at the right place.…

原文发布于我的微信公众号: GeekArtT. 从CFA到如今的Data Science/Deep Learning的学习已经有一年的时间了.期间经历了自我的兴趣.擅长事务的探索和试验,有放弃了的项目,有新开辟的路线,有有始无终的遗憾,也有还在继续的坚持.期间有数不清的弯路.失落,有无法一一道明的挫败和孤独,也有每日重复单调训练而积累起来的自信与欣喜.和朋友聊天让我意识到,将我目前所摸索到的一些材料和路径分享出来,使其他想要进入这个领域的人或者仅仅是兴趣爱好者能够少走一些弯路,大概是有些意义的.…

数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)的区别是什么? 数据科学(data science)和商业分析(business analytics)之间有什么关系? 本来我以为不需要解释这个问题的,到底数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)有什么区别,但是前几天因为有个学弟问我,我想了想发现我竟然也回答不出来,我在知乎和博客上查了查这个问题,发现还没有人写过比较详细和有说服力的对比…

本来我以为不需要解释这个问题的,到底数据挖掘(data mining),机器学习(machine learning),和人工智能(AI)有什么区别,但是前几天因为有个学弟问我,我想了想发现我竟然也回答不出来,我在知乎和博客上查了查这个问题,发现还没有人写过比较详细和有说服力的对比和解释.那我根据以前读的书和论文,还有和与导师之间的交流,尝试着说一说这几者的区别吧,毕竟一个好的定义在未来的学习和交流中能够发挥很大的作用.同时补上数据科学和商业分析之间的关系.能力有限,如有疏漏,请包涵和指正. 导论…

http://www.cs.cmu.edu/~avrim/courses.html Foundations of Data Science Avrim Blum, www.cs.cornell.edu/jeh/bookJan25_2016.pdf…

Post Date: September 3, 2014By: Stephanie Miller Marty Rose, Data Scientist in the Acxiom Product and Engineering group, and an active member of the DMA Analytics Council shared the following list of data science books with the Council this week, and…

文章标题 Introducing DataFrames in Apache Spark for Large Scale Data Science 一个用于大规模数据科学的API——DataFrame 作者介绍 Reynold Xin, Michael Armbrust and Davies Liu 文章正文 Today, we are excited to announce a new DataFrame API designed to make big data processing even…

51 Free Data Science Books A great collection of free data science books covering a wide range of topics from Data Science, Business Analytics, Data Mining and Big Data to Machine Learning, Algorithms and Data Science Tools. Data Science Overviews An…

15 Most Read Data Science Articles in 2015. So far … We've compiled the latest set of "most read" articles from the Data Science Weekly Newsletter. This is what is most popular thus far in 2015 - a mix of interesting applications of data science…

数据科学是一个大领域,如果你想成为一个优秀的数据专家,自学是必要的技能. MOOCs是数据科学的主要来源.有许多网站提供了 MOOCs,比如Coursera.Coursera和Udacity都还不错.无论您的语言是R.python.Java还是c/c++,MOOCs都有涵盖. 如果你是一个初学者,并且了解数据科学到底是什么,或者你成为下一个前沿领域的专家. 这里提供几个公开课列表,您可以根据自己的情况去学习. 关于这些课程资源的一些的指导说明: 你需要考虑到需要的条件,决定所需的学时和持续时间看…

Data Science 和 Finance 两个领域的融合是什么样子的? 2015-05-24 董可人 现在大部分人所说的Quant一般是指各大投行里做衍生品定价,信用评估,风险控制之类工作的人,这种工作里又有很大一部分是涉及随机过程微分方程等偏理论的数学,对数据分析要求不高:只有另外一部分基于统计的工作才和Data Science相关.两者的分类可以参见这个问题在华尔街工作的数学博士的研究方向一般是什么?如果对使用理论模型进行定价的工作感兴趣,很多学校开设的Financial Enginee…