Pandas is one of the most potent and popular Python libraries for Data Analysis. It's also one of the favorite tools for Data scientists because it helps them in cleaning, transformation, manipulation, and analysis of Data. To be honest, data in the real world is messy, and before you can start with your analysis, you need to clean and transform the data in the format you want. A tool or library like Pandas really helps there. That's why it's essential to learn about Pandas while doing Data Analysis with Python. It's even more critical if you are in the field of Data Science and Data Analysis. If you know Pandas, well and good, but if you don't mind, as I am going to share some of the best online courses to learn Pandas and Data Analysis with Python in 2025.
It also offers SQL as a powerful construct for exploratory analysis. Just like in SQL you can check the data in a table using SELECT TOP 10 * from TABLE or Linux you use the head command to get a glimpse of data in a file, you can also use Pandas similarly. It offers the head() function to show a limited amount of data.
If you don't know Pandas are closely related to NumPy (Numerical Python), one of the fundamental packages for scientific calculation. Two of the main Pandas object are Series and DataFrame, which are similar to one and two-dimensional arrays in general programming.
It also offers commands like read_csv, which can load the data, both small and large. You can also use tips like adding nrows=10 to only read a tiny portion of the data before actually loading the whole data.
At the core of practicing practical data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. Pandas is great for working with tabular data like data organized into tables with have rows and columns. It's similar to SQL or Excel, but Pandas adds the power of Python.
Last but not least Data Analysis with Pandas is also a very in-demand skill, just in case if you are looking for a job. After going through these hands-on courses, you would have enough knowledge to update your resume with this in-demand skill: Data analysis in Python with Pandas.
Pandas is also great to work with tabular data, and it's also one of the must-know tools for Data scientists. Because of this power and its data analysis ability, many people call Pandas "Excel for Python" or "Excel on Steroids."
Now that we have been convinced of the utility of the Pandas library, let me share with you some of the best resources to learn and master both Pandas and Data Analysis with Python.
These are the best online courses I have come across while learning Pandas. They are both hands-on and contain the right mixture of theory and practice. Though, you don't need to join all these courses, choose a couple ones where you can connect with Instructors.
Btw, Pandas is just one of the many excellent Python libraries for Data Scientists like NumPy, SciPy, TensorFlow, and Matplotlib. Each of these libraries has its strengths, and Pandas' advantage is Data Analysis like cleaning, filtering, and manipulating data.
Anytime if you want to work with a dataset, where you need to clean the data to bring it in a shape you want to or tweak it for your need, Pandas can do that for you. It's like any spreadsheet software like Excel or Numbers on Mac or Google Spreadsheet, but it's built on Python.
But, it's also powerful like it can do computation with millions of rows within seconds, which is not possible with many spreadsheet software, and that's why many people call it "Excel on Steroids." You can also use it to deal with different types of data like string, text, integers, floats, booleans, etc. It's like Excel but with more power, which comes from Python code.
However, It would have been even better if there is a project to get an idea of real-life exercises. It also includes a crash course on Python for those who are not comfortable with Python or those who need to refresh their Python fundamentals.
This is also one of the best Udemy courses on Data analysis, Pandas, and Python, and it's worth much more than just the $10 I paid for it. At the moment, more than 117,679 students enrolled in this course, and it has, on average, 4.6 ratings from close to 6,158 participants. A big thanks to Boris Paskhaver for creating this excellent course.
Along with basic Python and NumPy skills, the course will introduce data manipulation and cleaning techniques using the famous panda's library.
It will also teach you the abstraction of the Series and DataFrame as the central data structures for data analysis. It also has tutorials on how to use functions such as group by, merge, and pivot tables effectively.
By the end of this course, you will be able to take tabular data, clean it, manipulate it, and run necessary inferential statistical analyses.
This course is also part of the Applied Data Science with Python Specialization, which is one of the most popular Data Science Certifications on Coursera and taken by more than 350K learners. If you are looking for a Data Science Certification, I strongly suggest making a thin one; it's both reputed, offered by the University of Michigan, and well structured.
And, if you find Coursera courses and certifications useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth your money as you get unlimited certificates
It also offers SQL as a powerful construct for exploratory analysis. Just like in SQL you can check the data in a table using SELECT TOP 10 * from TABLE or Linux you use the head command to get a glimpse of data in a file, you can also use Pandas similarly. It offers the head() function to show a limited amount of data.
If you don't know Pandas are closely related to NumPy (Numerical Python), one of the fundamental packages for scientific calculation. Two of the main Pandas object are Series and DataFrame, which are similar to one and two-dimensional arrays in general programming.
It also offers commands like read_csv, which can load the data, both small and large. You can also use tips like adding nrows=10 to only read a tiny portion of the data before actually loading the whole data.
At the core of practicing practical data science is a thorough knowledge of data analysis tools, and among them, Pandas is one of the most popular. Pandas is great for working with tabular data like data organized into tables with have rows and columns. It's similar to SQL or Excel, but Pandas adds the power of Python.
Last but not least Data Analysis with Pandas is also a very in-demand skill, just in case if you are looking for a job. After going through these hands-on courses, you would have enough knowledge to update your resume with this in-demand skill: Data analysis in Python with Pandas.
8 Best Pandas Online Courses for Data Analysis with Python in 2025
In the last couple of years, Pandas has established itself as the most essential Python library for Data Analysis. It provides a robust toolkit for analyzing, filtering, manipulating, aggregating, merging, cleaning, and pivoting data.Pandas is also great to work with tabular data, and it's also one of the must-know tools for Data scientists. Because of this power and its data analysis ability, many people call Pandas "Excel for Python" or "Excel on Steroids."
Now that we have been convinced of the utility of the Pandas library, let me share with you some of the best resources to learn and master both Pandas and Data Analysis with Python.
These are the best online courses I have come across while learning Pandas. They are both hands-on and contain the right mixture of theory and practice. Though, you don't need to join all these courses, choose a couple ones where you can connect with Instructors.
Btw, Pandas is just one of the many excellent Python libraries for Data Scientists like NumPy, SciPy, TensorFlow, and Matplotlib. Each of these libraries has its strengths, and Pandas' advantage is Data Analysis like cleaning, filtering, and manipulating data.
Anytime if you want to work with a dataset, where you need to clean the data to bring it in a shape you want to or tweak it for your need, Pandas can do that for you. It's like any spreadsheet software like Excel or Numbers on Mac or Google Spreadsheet, but it's built on Python.
But, it's also powerful like it can do computation with millions of rows within seconds, which is not possible with many spreadsheet software, and that's why many people call it "Excel on Steroids." You can also use it to deal with different types of data like string, text, integers, floats, booleans, etc. It's like Excel but with more power, which comes from Python code.
1. Data Analysis with Pandas and Python [Best Udemy Course]
This is one of the best courses to learn Data Analysis with Pandas and Python. This is both hands-on and interactive. Course Material is also well organized, and delivery is fantastic.However, It would have been even better if there is a project to get an idea of real-life exercises. It also includes a crash course on Python for those who are not comfortable with Python or those who need to refresh their Python fundamentals.
This is also one of the best Udemy courses on Data analysis, Pandas, and Python, and it's worth much more than just the $10 I paid for it. At the moment, more than 117,679 students enrolled in this course, and it has, on average, 4.6 ratings from close to 6,158 participants. A big thanks to Boris Paskhaver for creating this excellent course.
2. Introduction to Data Science in Python [Best Coursera Course]
When it comes to learning Data Science tools and concepts, Coursera is the best platform. It has numerous detailed and quality courses to learn Data Science, and this is one of them which will also teach you Pandas.Along with basic Python and NumPy skills, the course will introduce data manipulation and cleaning techniques using the famous panda's library.
It will also teach you the abstraction of the Series and DataFrame as the central data structures for data analysis. It also has tutorials on how to use functions such as group by, merge, and pivot tables effectively.
By the end of this course, you will be able to take tabular data, clean it, manipulate it, and run necessary inferential statistical analyses.
This course is also part of the Applied Data Science with Python Specialization, which is one of the most popular Data Science Certifications on Coursera and taken by more than 350K learners. If you are looking for a Data Science Certification, I strongly suggest making a thin one; it's both reputed, offered by the University of Michigan, and well structured.
And, if you find Coursera courses and certifications useful then you should also join the Coursera Plus, a subscription plan from Coursera which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $399/year but its complete worth your money as you get unlimited certificates
3. Pandas Fundamentals By Pawel Kordek [Best Pluralsight Course]
If you have a Pluralsight membership and looking for a course to learn Pandas, then this is the best course for you. In this course, you'll explore the world of data science by learning core Pandas functionalities, including its IO capabilities, plotting methods, and DataFrames.If you don't have Pluralsight membership, then you can check out this course by taking their 10-day free trial, which provides 200 minutes of watch time, enough to complete this course.
If you want, you can also join Pluralsight, their membership cost around $29 per month, but they also provide access to close to 5000+ online courses on the latest technologies. It also has quizzes, assessments, and interactive exercises to learn things quickly.
There is also the second part of this course, Advanced Pandas, which will teach you how to handle complex data sets and analyze your data in a principled way with Pandas.
This is like the next part of the previous course, which taught Pandas fundamentals. This will show you advanced parts of this library, including handling higher-dimensional data, time series, window operations, joins, and plotting.
4. Data Analysis with Pandas [Best CodeCademy Course]
This is another excellent, interactive course to learn Data analysis with Pandas online. This course not only teaches you Pandas, a powerful python library for data analysis, but also shows you how to ingest, clean, and aggregate large quantities of data, and then use that data with other Python modules like Scipy (for statistical analysis) or Matplotlib (for visualization).This course also covers how to Create Pandas DataFrames, calculate aggregates, and merge multiple tables, along with interactive exercises, quizzes, and assessments. If you like Interactive learning and have a CodeCademy membership, I strongly recommend this course for learning Pandas.
If you don't have CodeCademy pro membership, you can get in just $16 monthly, which provides access to many quality courses, a complete worth of your money.
5. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis [Udemy]
This is one of the most practical courses you will find online to learn Pandas on Udemy. The comes with real data and 32-hours of content and exercises for analyzing that data. You will learn everything about data transform, data cleaning, filtering, grouping, pivot, and manipulate any dataset.This project and practice will make you learn Pandas better and you will be one step closer to become a Pandas master in 2025.
You will learn to import, clean, and merge messy Data and prepare Data for Machine Learning by import Financial/Stock Data from Web Sources and analyze them with Pandas. Learn and practice all relevant Pandas Methods and workflows based on the latest Pandas Version.
Analyze, visualize, and understand your Data with Matplotlib and Seaborn. This is also one of the highest-rated courses with, on average, 4.6 ratings from 25,000 students enrolled. A big thanks to instructor Andy Bak for creating this excellent course.
6. Pandas: Python for Data Analysis on Educative.io
This is a comprehensive learning path that delves into the intricacies of the highly popular Python library, Pandas. In an era where data science is a burgeoning field with lucrative opportunities, this path stands out as a valuable resource for those aspiring to master data analysis and processing.With a structured approach, the path covers a broad spectrum of topics, from the basics of Pandas data structures to advanced techniques such as feature engineering and data visualization. Each module within the path focuses on a specific aspect, offering hands-on exercises, quizzes, and challenges to reinforce learning.
Participants will gain proficiency in manipulating DataFrames, performing operations on data, handling missing values, and conducting data analysis. The feature engineering module provides insights into encoding, interaction, and datetime features crucial for machine learning.
Additionally, the path includes a dedicated module for interview preparation, offering real-world problem-solving scenarios. With a blend of theory and practical exercises, this Pandas learning path equips individuals with the skills needed to navigate the dynamic landscape of data science and analytics.
The inclusion of brain teasers adds an element of fun and challenges, ensuring a well-rounded learning experience. Overall one of the best interactive course to learn Python for Data Analysis with Pandas.
And, if you find the Educative platform and their interactive courses useful then you can also get an Educative Subscription that provides access to not just this course but their 1000+ courses in just $14.9 per month. It's very cost-effective and great for preparing for coding interviews
7. The Complete Pandas Bootcamp 2025: Data Science with Python
This is another comprehensive and highly-rated online course designed to elevate your data handling and data analysis skills to an exceptional level. With a stellar rating of 4.6 out of 5 from 3,425 participants is curated to cover all relevant Pandas methods and workflows using real-world datasets.
The curriculum focuses on the latest Pandas version 2.x, ensuring that learners stay updated with the most recent advancements. Encompassing 36.5 hours of on-demand video content, 24 coding exercises, 44 articles, and 16 downloadable resources, the course provides a rich learning experience. Participants will delve into topics such as importing, cleaning, and merging messy data, preparing data for machine learning, and mastering complete machine learning projects using Pandas, Scikit-Learn, and Seaborn.
The inclusion of quizzes, 150+ exercises, and comprehensive projects ensures active engagement and mastery of Pandas skills. Additionally, learners will gain expertise in analyzing and visualizing data using Pandas, Matplotlib, and Seaborn.
The course also offers practical applications, such as importing financial/stock data from web sources and analyzing them with Pandas. Priced at $98.98 with a 30-day money-back guarantee, this bootcamp provides full lifetime access and a certificate of completion, making it a valuable investment for those seeking to excel in the field of data science with Python.
This is another best online course you can join to learn Python Data Analysis, Pandas, and Data Visualization on Udemy. This is a relatively new course and created by one of the best Udemy instructor Colt Stele.
Having gone through Colt's previous web development bootcamp course and algorithms bootcamp course I have no doubt that this course will be awesome and I wasn't disappointed. If you don't Colt is a former bootcamp instructor and one of the best teacher online. Joining his course are like joining a bootcamp but with a lot less price.
In this course you will learn essential Data analysis skill with Python. You will learn Pandas data structures like Dataframes and Series and also analyze dozens of real world dataset to acquire key data skills like cleaning, transforming, analyzing and visualizing data.
You will also learn to create beautiful data visualization with Seaborn, one of the popular Python library for Data visualization. You will crate line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plots to analyze data with different angle.
Talkin about social proof, the course has got on average 4.7 rating from close to 572 raters and more than 7000 students have joined this course. Overall a great Udemy course to learn Data Analysis and visualization with Python and I highly recommend it.
That's all about some of the best online courses to learn Pandas and Data Analysis with Python in general. As I told you, Pandas is an industry-standard Python library for data manipulation and analysis and one of the most critical tools for Data scientists along with SQL and NumPy.
If you aspire to become a Data Scientist or Data Analyst, then you should spend some time learning Pandas; it will go a long way in not just getting a job but also with your day-to-day work as Data Scientist.
Also, you don't need to join all these courses, choose a couple ones, and stick to them. A good suggestion is the first course on this list, and if you love interactive sessions, then CodeCademy Pandas course is also excellent.
One of my personal tips to join the right course is watching previews. If I can go through a couple of lectures without skipping them, it's a good sign that I can connect to the instructor, and it's an excellent course.
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Thanks for reading this article so far. If you like these best Pandas online courses for Data Analysis with Python, then please share them with your friends and colleagues. If you have any questions or feedback, then please drop a note.
P.S. - If you are keen to learn more about Data Science and Machine Learning and just want to do one thing at this moment, go join the Data Science A-Z: Real-life Data Science course by Kirill Eremenko on Udemy. You won't regret your decision.
Is Pandas worth learning in 2024? I heard its better to learn BI tools then Pandas as more jobs are available for those.
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