Data Analysis with Python

开始时间: 09/26/2020 持续时间: Unknown

所在平台: Coursera

课程类别: 其他类别

大学或机构: CourseraNew



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Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more! Topics covered: 1) Importing Datasets 2) Cleaning the Data 3) Data frame manipulation 4) Summarizing the Data 5) Building machine learning Regression models 6) Building data pipelines Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts: Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions. If you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.

使用Python进行数据分析:了解如何使用Python分析数据。本课程将带您从Python的基础知识探索各种不同类型的数据。您将学习如何准备数据进行分析,执行简单的统计分析,创建有意义的数据可视化效果,根据数据预测未来趋势等等! 涵盖的主题: 1)导入数据集 2)清理数据 3)数据帧处理 4)数据汇总 5)建立机器学习回归模型 6)建立数据管道  使用Python进行数据分析将通过讲座,实验和作业进行。它包括以下部分: 数据分析库:将学习使用Pandas,Numpy和Scipy库处理示例数据集。我们将向您介绍熊猫(一个开源库),并将使用它来加载,操纵,分析和可视化很酷的数据集。然后,我们将向您介绍另一个开源库scikit-learn,我们将使用其一些机器学习算法来构建智能模型并做出出色的预测。 如果您选择参加本课程并获得Coursera课程证书,那么您还将获得IBM数字徽章。 限时优惠:订阅仅需每月39美元,即可访问分级材料和证书。



Learn how to analyze data using Python. This course will take you from the basics of Python to explo