10 Best Pandas Courses and Certifications Online

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Close up iPhone showing Udemy application and laptop with notebookThere are thousands of online courses and classes that will assist you enhance your Pandas abilities and earn your Pandas certificate.

In this article, our experts have assembled a curated list of the 10 Best of the Best Pandas courses, tutorials, training programs, classes and certifications that are available online right now.

We have actually included just those courses that satisfy our high-quality standards. We have actually put a great deal of effort and time into collecting these all for you. These courses are suitable for all levels, beginners, intermediate students, and experts.

Here’s a look at these courses and what they have to offer for you!

10 Best Pandas Courses and Certifications Online

1. Data Analysis with Pandas and Python by Boris Paskhaver Udemy Course Our Best Pick

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

As of right now, more than 169788+ people have enrolled in this course and there are over 17480+ reviews.

Course Content
“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 by “Samuel Hinton, Ligency I Team, Ligency Team” Udemy Course

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

As of right now, more than 36672+ people have enrolled in this course and there are over 1496+ reviews.

Course Content
“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 by Andy Bek Udemy Course

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

As of right now, more than 26089+ people have enrolled in this course and there are over 1194+ reviews.

Course Content
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 by Data Is Good Academy Udemy Course

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

As of right now, more than 22167+ people have enrolled in this course and there are over 166+ reviews.

Course Content
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 by Alexander Hagmann Udemy Course

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

As of right now, more than 20642+ people have enrolled in this course and there are over 2847+ reviews.

Course Content
“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 by Diptam Paul Udemy Course

Pandas Library

As of right now, more than 19241+ people have enrolled in this course and there are over 184+ reviews.

Course Content
Introduction
Intermediate Level
Miscellenious

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

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

As of right now, more than 12731+ people have enrolled in this course and there are over 738+ reviews.

Course Content
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 by Colt Steele Udemy Course

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

As of right now, more than 8084+ people have enrolled in this course and there are over 735+ reviews.

Course Content
“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 by Alexander Hagmann Udemy Course

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

As of right now, more than 7962+ people have enrolled in this course and there are over 624+ reviews.

Course Content
“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 by Bill Chambers Udemy Course

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

As of right now, more than 5781+ people have enrolled in this course and there are over 756+ reviews.

Course Content
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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Here are some frequently asked questions about learning Pandas

How Long Does It Take to Learn Pandas?

The answer to the question “How long does it ttake to learn Pandas” is … it depends. Everybody has different needs, and everyone is working in different circumstances, so the answer for someone might be entirely different than for somebody else.

Think about these questions: What are you trying to Learn Pandas for? Where is your starting point? Are you a newbie or do you have experience with Pandas? Just how much can you practice? 1 hour each day? 40 hours each week? Take a look at this course about Pandas.

Is Pandas Easy Or Hard to Learn?

No, learning Pandas isn’t hard for the majority of people. Check this course on how to Learn Pandas in no time!

How to Learn Pandas Fast?

The fastest way to Learn Pandas is to first get this Pandas course, then practice whatever you learn whenever you can. Even if its just 15 minutes a day of practice. Consistency is crucial.

Where to Learn Pandas?

If you want to explore and learn Pandas, then Udemy provides you the best platform to learn the Pandas. Check this course on how to Learn Pandas in no time!