使用Python掌握数据分析和可视化

从新手到忍者——使用Python和可视化进行数据分析，从数据中提取可操作的见解，在本综合课程中，释放Python数据分析的威力，让您掌握在数据驱动的世界中取得成功所需的基本技能。无论你是初学者还是有经验的程序员，本课程将使你能够利用Python的潜力进行数据分析。Mastering Data Analytics and Visualisation with Python

涵盖的主要主题:Python基础:通过深入研究Python的基本概念打下坚实的基础。您将掌握基本知识，如变量、数据类型、循环和函数，为更高级的数据分析技术打下基础。Numpy:探索如何利用NumPy，这是Python中数字运算的基础库。了解如何高效地存储和操作数据数组，使您能够毫不费力地执行复杂的计算。熊猫:深入熊猫的世界，数据处理和分析的最佳图书馆。学习轻松读取、清理和转换数据，并揭示数据框在数据表示方面的强大功能。Matplotlib:用Matplotlib掌握数据可视化的艺术。本节将向您传授创建令人惊叹的定制设计可视化效果的技能，将原始数据转化为深刻的图表和图形。本课程结束时，您将具备以下专业技能:自信地使用Python完成数据分析任务。利用NumPy的功能进行高效的数据操作。使用Pandas执行数据分析、清理和转换。使用Matplotlib创建视觉上吸引人的自定义数据可视化。无论您是数据爱好者、有抱负的数据科学家，还是寻求提高分析技能的专业人士，本课程都提供了使用Python成功进行数据分析的全面路线图。立即注册，踏上成为一名精通Python的数据分析师的旅程。不要错过这个提升您的数据分析技能的机会。立即注册，利用Python开启数据驱动的洞察世界！

由Moe Hamdan创作
MP4 |视频:h264，1280×720 |音频:AAC，44.1 KHz，2声道
类型:电子学习|语言:英语|时长:48节课(7小时25分钟)|大小:1.5 GB

你会学到什么
了解用于数据分析的python基础知识
了解如何使用Numpy列表来操作列表中的数据
学习如何利用Pandas dataframes读取数据，分析数据并将其写入文件
了解如何使用Matplotlib创建可定制的可视化
了解如何充分利用python从他们的数据中提取可操作的见解
通过学习用于数据分析的最强大的编程语言，采取下一步促进您的职业发展

要求
一些python编程将是有利的
对数据分析感兴趣
一些数学和统计学知识会有帮助

From Novice to Ninja – Master Data Analytics with Python and Visualisation extract Actionable Insights from Data

What you’ll learn
Learn the basics of python for data analytics
Learn how to use Numpy lists to manipulate data in lists
Learn how to utilise Pandas dataframes to read data, analyse it and write it to files
Learn how to use Matplotlib to create customisable visualisations
Learn how to make the most out of python to extract actionable insights from their data
Take the next step in boosting your career by learning the most powerful programming language for data analytics

Requirements
Some python programming will be advantageous
An interest in data analytics
Some knowledge of maths and statistics will help

Description
Unlock the power of data analytics with Python in this comprehensive course designed to equip you with the essential skills needed to thrive in the data-driven world. Whether you’re a beginner or an experienced coder, this course will empower you to harness the potential of Python for data analysis.Key Topics Covered:Python Basics:Lay a solid foundation by delving into Python’s fundamental concepts. You’ll grasp the essentials, such as variables, data types, loops, and functions, setting the stage for more advanced data analysis techniques.Numpy:Explore how to leverage NumPy, a fundamental library for numerical operations in Python. Discover how to efficiently store and manipulate data arrays, enabling you to perform complex calculations effortlessly.Pandas:Dive into the world of Pandas, the go-to library for data manipulation and analysis. Learn to read, clean, and transform data effortlessly, and uncover the power of data frames for data representation.Matplotlib:Master the art of data visualization with Matplotlib. This section equips you with the skills to create stunning custom-designed visualizations, turning raw data into insightful charts and graphs.By the end of this course, you will have the expertise to:Use Python confidently for data analysis tasks.Harness the capabilities of NumPy for efficient data manipulation.Perform data analysis, cleaning, and transformation using Pandas.Create visually appealing and customized data visualizations with Matplotlib. Whether you are a data enthusiast, aspiring data scientist, or a professional seeking to enhance your analytical skills, this course provides a comprehensive roadmap to data analytics success with Python. Enroll now and embark on your journey to becoming a proficient data analyst with Python.Don’t miss out on this opportunity to boost your data analytics skills. Enroll today and unlock a world of data-driven insights with Python!