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所在平台: Udemy |
课程主页: https://www.udemy.com/course/data-visualization-with-python-the-complete-guide/
课程评论：没有评论
课程名称：使用Python的数据可视化：完整指南 概述：数据正在迅速成为一个重要的力量。随着每分钟生成的数据量不断增加，处理数据变得愈发重要。数据的重要性在于，它使我们能够审视历史并预测未来。数据科学是一个处理收集、分类、组织和分析大量数据的领域。这些数据用于理解当前和未来的趋势。该领域借鉴了数学、统计学、计算机科学和信息科学等多个学科的技术和理论。同时，它也能帮助机器学习、数据挖掘、数据库和可视化等其他领域。数据科学家的重要性不断上升，其薪资也在上涨，这意味着现在是成为数据科学家的最佳时机。虽然数据的分类看似简单，但数据科学家需要编写关键的算法和程序来帮助整理和分析数据，这并非易事。我们尽力使这一过程尽可能简单。在这门针对初学者的数据可视化课程中，您将开始了解数据科学的重要概念。课程将帮助您明确在这一有利可图的领域中的起步位置。 课程内容包括：数据科学简介，线性代数、概率与统计、Matplotlib库、图表和图形、数据分析、非均匀数据的可视化、假设检验和梯度下降、数据聚类等多个重要概念。此外，我们还将提供项目，帮助您展示如何使用Python构建可视化效果。您可以在这门独特的数据科学课程中学习到所有这些内容和更有趣的东西。现在就注册，开始为您的数据构建下一代接口吧！
Data is becoming a force to recon with. With the amount of data that is being generated every minute, dealing with data has become more important. The importance of data lies in the fact that it allows us to look at our history and predict the future. Data Science is the field that deals with collecting, sorting, organizing and also analyzing huge amounts of data. This data is then used to understand the current and future trends. This field borrows techniques and theories from across multiple fields such as mathematics, statistics, computer science, information science, etc. It also aids other domains such as machine learning, data mining, databases and visualization. Data Scientists are gaining importance and are also earning higher salaries, which means this is the right time to become a data scientist. While, it might seem easy, sorting data, these scientists are responsible for writing important algorithms and programs to help sort and analyze the data - and this isn't an easy task. However, we've done everything we can to make it as simple as possible. In this beginner course to data visualization, you'll get started with important concepts of data science. The course will help you understand exactly where to begin in this lucrative field. Starting at the very beginning, this course will help you understand the importance of Data Science, along with becoming familiar with Matplotlib, Python's very own visualization library. From there you will learn about the linear general statistics and data analysis. We'll also go over important concepts such as data clustering, hypothesis gradient descent and advanced data visualizations. The course will cover a number of different concepts such as introduction to Data Science including concepts such as Linear Algebra, Probability and Statistics, Matplotlib, Charts and Graphs, Data Analysis, Visualization of non uniform data, Hypothesis and Gradient Descent, Data Clustering and so much more. That's not all, we'll also include projects to help you show exactly how to build visuals using Python. You can learn all this and tons of interesting stuff in this unique data science course. Enroll now and start building next generation interfaces for your data.
