10最好的Pandas教程推荐

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特写 iPhone，显示 Udemy 应用程序和带笔记本的笔记本电脑有数以千计的在线课程和课程可以帮助您提高 Pandas 技能并获得 Pandas 证书。

在这篇博客文章中，我们的专家汇总了 10 个精选列表 最好的 Pandas 课程, 现在在线提供的教程、培训计划、课程和认证。

我们只包括那些符合我们高质量标准的课程。我们花了很多时间和精力来为您收集这些。这些课程适合所有级别的初学者、中级学习者和专家。

以下是这些课程以及它们为您提供的内容！

10最好的Pandas教程推荐

课程名 在校生（人数） 评论（计数）
1. Data Analysis with Pandas and Python 我们的最佳选择 169788+ 17480+
2. Data Manipulation in Python: A Pandas Crash Course 36672+ 1496+
3. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis 26089+ 1194+
4. Pandas Masterclass 2022: Advanced Data Analysis with Pandas 22167+ 166+
5. The Complete Pandas Bootcamp 2022: Data Science with Python 20642+ 2847+
6. Python Pandas Library Full Tutorial 19241+ 184+
7. Complete Data Analysis with Pandas : Hands-on Pandas Python 12731+ 738+
8. 2022 Python Data Analysis & Visualization Masterclass 8084+ 735+
9. Manage Finance Data with Python & Pandas: Unique Masterclass 7962+ 624+
10. Data Analysis in Python with Pandas 5781+ 756+

1. Data Analysis with Pandas and Python 经过 Boris Paskhaver Udemy课程 我们的最佳选择

Analyze data quickly and easily with Python’s powerful pandas library! All datasets included — beginners welcome!

截至目前，超过 169788+ 人们已经注册了这门课程，而且已经结束了 17480+ 评论.

课程内容
“Installation and Setup
BONUS: Python Crash Course
Series
DataFrames I: Introduction
DataFrames II: Filtering Data
DataFrames III: Data Extraction
Working with Text Data
MultiIndex
The GroupBy Object
Merging, Joining, and Concatenating DataFrames
Working with Dates and Times in Datasets
Input and Output in pandas
Visualization
Options and Settings in pandas
Conclusion”

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2. Data Manipulation in Python: A Pandas Crash Course 经过 “Samuel Hinton, Ligency I Team, Ligency Team” Udemy课程

“Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.”

截至目前，超过 36672+ 人们已经注册了这门课程，而且已经结束了 1496+ 评论.

课程内容
“Introduction
Dataset Basics
Visual exploration
Basic Data Manipulations
Grouping
Merging
Advanced Manipulation – MultiIndex, Pivoting and more
Time Series Data
Conclusion”

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3. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis 经过 Andy Bek Udemy课程

“Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!”

截至目前，超过 26089+ 人们已经注册了这门课程，而且已经结束了 1194+ 评论.

课程内容
Introduction
Series At A Glance
Series Methods And Handling
Working With DataFrames
DataFrames In Depth
Working With Multiple DataFrames
Going MultiDimensional
GroupBy And Aggregates
Reshaping With Pivots
Handling Date And Time
Regex And Text Manipulation
Visualizing Data
Data Formats And I/O
Appendix A – Rapid-Fire Python Fundamentals
Appendix B – Going Local: Installation And Setup

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4. Pandas Masterclass 2022: Advanced Data Analysis with Pandas 经过 Data Is Good Academy Udemy课程

“Master Pandas library to Analyze, Manipulate & Visualize Big Data. Data Analysis with Pandas using Multiple Projects”

截至目前，超过 22167+ 人们已经注册了这门课程，而且已经结束了 166+ 评论.

课程内容
Introduction to Pandas
General Functions in Pandas
Handling Series using Pandas
Handling DataFrames using Pandas
Introduction to Arrays in Pandas
Introduction to Index Objects in Pandas
Introduction to Window Functions in Pandas
Introduction to Styling DataFrames in Pandas
Introduction to Visualizations and Plotting in Pandas
Outro Section
Bonus Section

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5. The Complete Pandas Bootcamp 2022: Data Science with Python 经过 Alexander Hagmann Udemy课程

Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn

截至目前，超过 20642+ 人们已经注册了这门课程，而且已经结束了 2847+ 评论.

课程内容
“Getting Started
—- PART 1: PANDAS FROM ZERO TO HERO (BUILDING BLOCKS) —-
Pandas Basics (DataFrame Basics I)
Pandas Series and Index Objects
DataFrame Basics II
Manipulating Elements in a DataFrame / Slice +++Important, know the Pitfalls!+++
DataFrame Basics III
Visualization with Matplotlib
—- PART 2: FULL DATA WORKFLOW A-Z —-
Importing Data
Cleaning Data
Merging, Joining, and Concatenating Data
GroupBy Operations
Reshaping and Pivoting DataFrames
Data Preparation and Feature Creation
Advanced Visualization with Seaborn
—- PART 3: COMPREHENSIVE PROJECT CHALLENGES —-
Data Manipulation and Aggregation Challenge (Olympic Medal Tables)
Explanatory Data Analysis Challenge
—- PART 4: PANDAS FOR FINANCE, INVESTING & TIME SERIES —-
Time Series Basics
Pandas for Finance and Investing
—- PART 5: MACHINE LEARNING WITH PANDAS AND SCIKIT-LEARN —-
Introduction to Regression and Classification
BONUS: Machine Learning Project A-Z (Regression)
+++ WHAT´S NEW IN PANDAS VERSION 1.0? – A HANDS-ON GUIDE +++
—- APPENDIX: PYTHON BASICS, NUMPY & STATISTICS —-
Python Basics
The Numpy Package
Statistical Concepts
What´s next? (outlook and additional resources)”

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6. Python Pandas Library Full Tutorial 经过 Diptam Paul Udemy课程

Pandas Library

截至目前，超过 19241+ 人们已经注册了这门课程，而且已经结束了 184+ 评论.

课程内容
Introduction
Intermediate Level
Miscellenious

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7. Complete Data Analysis with Pandas : Hands-on Pandas Python 经过 “Ankit Mistry, Data Science & Machine Learning Academy” Udemy课程

“Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python”

截至目前，超过 12731+ 人们已经注册了这门课程，而且已经结束了 738+ 评论.

课程内容
Introduction
Installation and IDE
Code Download
Python Crash Course [Optional]Python Exercises
Numpy
Series : Pandas
Data Frame : Pandas
Pandas Exercise
Panel : Pandas
Pandas Options
Visualize Data with Pandas
Import and Export data from Pandas
Working with Text Data
Data Grouping
Data Frame : Multiindex
Working with Time series data
Data cleaning
Appendix : Numpy – Numerical Python Library
Pandas – Miscellaneous
+++*** PANDAS 1.0.0 OUT ***+++
———– 2nd Part of Course ———–
Data Visualization with MatPlotlib & Seaborn
Towards Machine Learning
Machine Learning Work Flow with Scikit-learn
++++*** Importing Data ***+++
Reading Local File
Importing data from Remote Location
Reading streaming data
Data PreProcessing & Feature Engineering
Bonus Lecture

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8. 2022 Python Data Analysis & Visualization Masterclass 经过 Colt Steele Udemy课程

“Pandas, Matplotlib, Seaborn, & More! Analyze Dozens of Datasets & Create Stunning Visualizations”

截至目前，超过 8084+ 人们已经注册了这门课程，而且已经结束了 735+ 评论.

课程内容
“Introduction
Setup & Installation
Working With Jupyter Notebook
Dataframes & Datasets
Basic DataFrame Methods & Computations
Series & Columns
Indexing & Sorting
Filtering DataFrames
Adding & Removing Columns
Updating Values
Working With Types and NA Values
Working With Dates & Times
Matplotlib
Revisiting Pandas Plotting
Grouping & Aggregating
Hierarchical Indexing
Working With Text
Apply, Map, & Applymap
Combining Series & DataFrames
Seaborn
Seaborn Categorical Plots
Controlling Seaborn Aesthetics”

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9. Manage Finance Data with Python & Pandas: Unique Masterclass 经过 Alexander Hagmann Udemy课程

“Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)”

截至目前，超过 7962+ 人们已经注册了这门课程，而且已经结束了 624+ 评论.

课程内容
“Getting Started
— PART 1: DATA ANALYSIS WITH PYTHON & PANDAS: FROM ZERO TO HERO —
Pandas: Basics
Pandas: Intermediate Topics
Data Visualization with Matplotlib and Seaborn
Pandas: Advanced Topics
—– PART 2: FINANCIAL DATA ANALYSIS ——
Time Series Data in Pandas: Introduction
Financial Data – Essential Workflows (Risk, Return & Correlation)
Financial Data – Advanced Techniques (Rolling Statistics & Reporting)
Create and Analyze Financial Indexes
Create, Analyze and Optimize Financial Portfolios
Modern Portfolio Theory & Asset Pricing (CAPM, Beta, Alpha, SLM & Risk divers.)
Forward-looking Mean-Variance Optimization & Asset Allocation
Interactive Financial Charts with Plotly and Cufflinks
—– PART 3: THE FINANCIAL ANALYST CHALLENGE (FINAL PROJECT) —-
———- PART 4: ADVANCED TOPICS —————-
+++ WHAT´S NEW IN PANDAS VERSION 1.0? – A HANDS-ON GUIDE +++
—————— APPENDIX ——————-
Appendix 1: Python Crash Course (optional)
Appendix 2: Numpy Crash Course (optional)
Download .py files
What´s next? (outlook and additional resources)”

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10. Data Analysis in Python with Pandas 经过 Bill Chambers Udemy课程

Getting an introduction to doing data analysis with the Python pandas library with hours of video and code.

截至目前，超过 5781+ 人们已经注册了这门课程，而且已经结束了 756+ 评论.

课程内容
Introduction to the Course
IPython Notebooks and Raw Python Data Analysis
The Basics of NumPy
Pandas Basics
pandas Series
pandas DataFrame
BONUS: Advanced pandas Topics

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下面是一些关于学习的常见问题Pandas

学习Pandas需要多长时间？

“学习Pandas需要多长时间”这个问题的答案是。 . .这取决于。每个人都有不同的需求，每个人都在不同的场景下工作，所以一个人的答案可能与另一个人的答案完全不同。

考虑这些问题：你想学习 Pandas 是为了什么？你的出发点在哪里？您是初学者还是有使用 Pandas 的经验？你能练习多少？每天1小时？每周40小时？ 查看本课程关于 Pandas.

Pandas 学起来容易还是难？

不，学习 Pandas 对大多数人来说并不难。检查这个 关于如何学习的课程 Pandas 立刻！

如何快速学习Pandas？

学习 Pandas 最快的方法是先得到这个 Pandas 课程, 然后尽可能练习你学到的任何东西。即使每天只有 15 分钟的练习。一致性是关键.

在哪里学习 Pandas？

如果您想探索和学习 Pandas，那么 Udemy 为您提供了学习 Pandas 的最佳平台。查看此 关于如何学习的课程 Pandas 立刻！