Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets. In the information age, data is all around us. Within this data are answers to compelling questions across man
The ability to analyze data with Python is critical in data science. Learn the basics, and move on to create stunning visualizations. Python is a very powerful programming language used for many different applications. Over time, the huge community around this open source language has created quit...
Computer science – Learn programming in Python, C++, Java, R, and more. Master courses in artificial intelligence, machine learning, big data, cloud computing, and cybersecurity. Business & Management - Courses in accounting, marketing, finance, economics, information technology, entrepreneurship, an...
Python monemonesi/SD1x_Software-Development-Fundamentals Star0 Code Issues Pull requests My solutions for edX Course: SD1x_Software Development Fundamentals learning-exerciseedxsoftware-development UpdatedFeb 25, 2018 Java GKarmakar/EDXPythonDataScience ...
常见的先修课有线性代数Linear Algebra，微分方程Differential Equations，编程例如Python, C++, R....
推荐edx上的 Microsoft 出品的系列 编程课程. 入门到进阶 成体系. 每一章讲的都特别细....
9. Python for Data Science via University of California, San Diego 《Python与数据科学》加州大学圣地亚哥分校 10. Introduction to Linux via Linux Foundation 《Linux系统导论》——Linux基金会 上述列表中有三门课程(第1、3、9)同时入选Class Central《有史以来最受欢迎的100门MOOC》排行榜。
Statistics and Probability in Data Science using Python — edX, Univ of California San Diego Business Statistics and Analysis Specialization — Coursera, Rice University 3线性代数 3.1 必备知识点 什么是常用的?矩阵和矩阵代数。这是学习数学的一个重要分支,用于理解大多数机器学习算法如何在数据流上...
Tr**rs上传3KB文件格式zipdata-sciencemachine-learningrrecommendation-systemR edx_data_sience_capstone_movielens 数据科学领域第一个机器学习练习:Capstone(HarvardX PH125.9x) (0)踩踩(0) 所需:1积分 Windows下MUMPS大型线性方程组求解器使用案例(地球物理) ...
Introduction to Python for Data Science [No Longer Available] If you want to "Start your journey in data science and learn the basics of Python" then I would suggest this course. In fact, I have signed up myself. I think it will be an interesting introduction to what I understand as ...