Hello guys, if you want to learn Pandas library, one o the most popular Python library for Data Scientists and Machine Learning engineers and looking for the best resources like online courses, books, tutorials, and training classes then you have come to the right place. Earlier, I have shared the best Pandas for Data Analysis courses and in this article, I am going to share free Pandas courses for beginners to learn in 2023. Many developers switched to learning python programming language due to its variety of libraries that offer developers, like creating web apps using Django.
Making machine learning models using the scikit-learn or maybe interacting with human texts and voice using the natural language processing library. The data scientist also heavily rely on this language, and one of the most used libraries for them is called Pandas.
Pandas is a python library written in different languages use for data processing and manipulation before applying machine learning or data visualization to your dataset. This library is famous for importing datasets in most projects in many formats such as CSV, JSON, SQL databases file, and more.
Today, you will see some of the best FREE online resources to learn this amazing library that is almost necessary for any career dealing with data, such as data scientist or machine learning engineer. If you want to become a Data Analyst, Data Scientist or Machine Learning Engineer in 2023, I highly recommend you to learn Pandas library
By the way, if you are serious about learning Pandas library and become a better Data Scientist or Data Analyst and don't mind investing a few bucks to learn a valuable skill like Pandas then you can also check out Data Analysis with Pandas and Python courses on Udemy. This 20.5-hour-long Pandas course is one of the best resources to learn Pandas online.
5 Free Online Courses to learn Pandas for Beginners in 2023
Without wasting any more of your time, here is a list of the best free courses to learn from Pandas in 2023. These are the legally free online courses, made free by their instructor for educational and marketing purposes and you can join them on popular online learning portals like Udemy and Coursera.
1. Master Data Analysis with Python [Udemy Free Course]
Pandas library is extensive, and it may take tons of hours and practice to master this library, but if you want to cover the fundamentals, then you’ve landed the right course. The free course was created by Ted Petrou, an author of many books in python and pandas, and has very technical knowledge in this library.
You will start by downloading the course material and getting your hands on using the Jupyter Notebook IDE.
Next, you will get an intro to pandas library and use the DataFrame and Series, understanding the different types of data and dealing with missing values and data exploration, selecting a subset of data to work within your project, and using the Boolean indexing.
2. Introduction to Data Science in Python [Free Coursera Course]
Another great course offered from the University of Michigan through the Coursera platform for learning how to use pandas library and the NumPy for mathematical calculation.
The course is for intermediate people who have at least some knowledge of the python programming language, and it contains almost 30 hours of videos and content.
Starting with some methods and functions in python that will be used for data scientists and pandas, such as date & time and lambda function, and regular expression.
Then moving to pandas and learning the abstraction of the Series & DataFrame, indexing, dealing with missing values. Also, you will learn how to merge data frames and generate summary tables.
This course is also part of the Applied Data Science with Python Specialization and completing this course will count towards that certification, which is also Coursera's one of the popular Data Science certifications.
3. Learn Core Python, Numpy, and Pandas [Free Udemy Course]
If you are new to this language and want to become a data scientist starting from zero, then you should probably see this course since you will see not only using pandas for data processing and manipulation but also learning python language if you are a beginner.
Numpy for mathematical calculation is also discussed in this course which is always preferred to learn.
Starting with the basics of python language such as variables, for loops, if statements, booleans, functions, object-oriented programming, and more. Then you will start with the NumPylibrary performing simple mathematical calculations and working with data such as reshaping.
Finally, get your hands on pandas series and some functions like Loc & iLoc, and working with a data frame.
4. Pandas with Python [Free Course Udemy]
For people having at least some basic understanding of the python programming language and want to deep dive into the panda’s library and learn some of its advanced features, then I will suggest this course that will even teach you how to group and join data as well as processing very complex data and more.
Starting with the most basic operations in pandas are data frame and series, and when you use each of them in your project. Then learn about date range & inspecting data, and slicing using data frame.
You will also learn about concatenation & descriptive statistics, merging data frames, working with text data, loading data from different file formats, and data visualization.
4. Data Analysis Using Python [Free Coursera Course]
Pandas library is mostly used by people who are working in the data analysis field and if you want a career in this area, then consider this course if for you since you will learn to work with CSV data and also to use pandas for processing data and visualize your final result.
The course starts by introducing the simple CSV library and how it can help you load, query, filter your data from a CSV file, and deal with data errors.
Next, you will do the same but use the panda’s library like loading and filtering real-world datasets, advanced indexing, and building a simple recommendation system. Finally, perform data visualization like a scatter plot using matplotlib.
This course is also part of Coursera's popular Introduction to Programming with Python and Java Specialization and completing this course will count towards that specialization.
By the way, If you are planning to join multiple Coursera courses or specializations then consider taking Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects. It cost around $59/month but it's completely worth your money as you get unlimited certificates.
That's all about the best free Pandas courses for Beginner to learn Data Analysis. These free courses are quite useful for Python Developers and Data Scientists who needs to deal with large amount of data. Pandas is a huge python library that contains many modules, and it can take a lot of hours and practice to learn it effectively and perform complex data processing. Still, these free resources help you get started in your journey to learn this package.
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Thanks for reading this article so far. If you like these best free Pandas online training courses for beginners 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 Pandas and looking for more comprehensive and up-to-date Pandas and Data Analysis courses then I also suggest you check out Data Analysis with Pandas and Python courses on Udemy. This 20.5 hour long Pandas course by Boris Paskhaver is one of the most popular and recommended Pandas courses on Udemy.
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