Modern Data Analysis Masterclass in Pandas and Python

本课程的目的是以实用、简单和有趣的方式为您提供数据分析的关键方面的知识。该课程为学生提供使用真实世界数据集的实践经验。

我们将学习如何使用 Pandas Series 和 DataFrames 分析数据，如何执行合并、连接和连接。我们还将学习如何使用 Matplotlib 和 Seaborn 执行数据可视化。此外，我们将学习如何处理日期时间和文本数据集。

因此，无论您是刚刚开始使用 Python 和数据分析，还是您的职业生涯已经成熟并希望提高您的数据可视化技能，本课程都将提高您的技能。

那么，您准备好启动并运行数据可视化了吗？现在报名！

本课程适用于
希望对数据操作和分析工具及其在金融、银行、医疗保健和技术领域的应用有基本了解的初学者和经验丰富的 Python 程序员和数据科学家。
希望利用 Python 的强大功能来可视化关键指标、优化业务流程、最大化收入和降低成本的数据分析师。
数据分析师想要提升自己的职业生涯，建立他们的数据科学组合，并获得现实世界的实践经验。
对数据充满热情并希望获得现实世界实践经验的技术爱好者。
希望利用数据的力量来最大化收入、降低成本和优化业务的有远见的企业主。

您将学到什么：
掌握高级 Python 工具来管理、排序和可视化数据。
了解如何使用关键的 Python 库，例如用于科学计算的 NumPy 和用于数据分析的 Pandas。
掌握 Matplotlib 和 Seaborn 库以可视化数据、获得有价值的见解并做出明智的决策。
掌握如何管理大型数据集、为机器学习和数据科学应用执行特征工程和数据清理的策略。
创建热图、相关图、散点图、饼图、配对图、维恩图、3D 图、直方图、词云图和群图。

MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 174 lectures (20h 49m) | Size: 8.3 GB
Build your Data Analysis and Visualization skills with Python’s Pandas, Numpy, Matplotlib and Seaborn Libraries

What you’ll learn:
Master advanced Python tools to manage, sort, and visualize data.
Learn how to use key Python Libraries such as NumPy for scientific computing and Pandas for Data Analysis.
Master Matplotlib and Seaborn libraries to visualize data, gain valuable insights, and make informed decisions.
Master strategies on how to manage large datasets, perform featureengineering and data cleaning for machine learning and data science applications.
Create heatmaps, correlation plots, scatterplots, pie charts, pair plots, Venn diagrams, 3D plots, histograms, word cloud and swarm plots.

Requirements
The course has no prerequisites and is open to anyone with no or basic programming knowledge. Students who enroll in this course will master data analytics fundamentals and directly apply these skills to solve real world challenging problems.

Description
The data revolution is here! Data is the new gold of the 21st Century.

Companies nowadays have access to a massive amount of data and their competitive advantage lies in their ability to gain valuable insights from this data. Not only do they need to analyze all the data, but they need to do it fast!

Data can empower companies to boost their revenues, improve processes and reduce costs.

Data could be leveraged in many industries such as Finance, banking, healthcare, transportation, and technology sectors.

The purpose of this course is to provide you with knowledge of key aspects of data analytics in a practical, easy, and fun way. The courseprovides students with practical hands-on experience using real-world datasets.

We will learn how to analyze data using Pandas Series and DataFrames, how to perform merging, concatenation and joining. We will also learn how to perform data visualization using Matplotlib and Seaborn. Furthermore, we will learn how to deal with datetime and text dataset.

So, whether you’re just getting started with Python and Data Analysis, or you’re well-established in your career and would like to polish your data visualization skills, this course will boost your skillset.

So, are you ready to get your data visualizations up and running? Enroll now!

Who this course is for
Beginner and experienced Python programmers and data scientists wanting to gain a fundamental understanding of data manipulation and analysis tools and their application in the Finance, Banking, healthcare, and technology sectors.
Data analysts who want to harness the power of Python to visualize key metrics, optimize business processes, maximize revenue, and reduce costs.
Data analysts wanting to advance their careers, build their data science portfolio, and gain real-world practical experience.
Tech enthusiasts who are passionate about data and want to gain real-world practical experience.
Visionary business owners who want to harness the power of data to maximize revenue, reduce costs and optimize their business.