Best Python Pandas Courses Online & Certification (September 2023)

Are you looking forward to learning more about Python’s most powerful and easy-to-use library – Pandas? Data Analysts and Data Scientists use Pandas for analyzing and manipulating generated data. This is why you are also here, looking for Best Python Pandas Courses. In other words, it means that you are familiar with the Python programming language and its concepts.

Why is learning about Pandas so essential?

Python developers are in high demand worldwide, with a 41% increase in demand according to LinkedIn. The demand for Python developers is growing every day, and it offers the most promising career option. The average salary for Pandas Developers is $87,000 per year, according to ZipRecruiter. The top earners in the US make more than $125,000!

According to Upwork, freelancers can expect to earn between $40 and $200 per hour. With 2000 hours of work per year, you can expect to earn between $80,000 and $400,000

If you are not aware of Data Analysis and how Pandas is used for it, I suggest you read through the below-mentioned list of Best Python Pandas Courses. It will give you better job opportunities and a kick-start to reinvent your data science career.

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Best Python Pandas Courses, Certification, Tutorials, Training, Classes Online

• Best Overall Data Analysis with Pandas [Codecademy]
  
  
• Best for Beginner Data Manipulation with Pandas [DataCamp]
  
  
• Best for Advance Advanced Pandas [Pluralsight]

Data Analysis with Pandas [Codecademy]

Codecademy offers a wonderful opportunity to learn data analysis with Pandas. Pandas offer methods to store and organize data into tables. Tabular data works the same as SQL or Excel, but Pandas adds the functionality of Python programming language. With this Python Pandas tutorial, you will be able to ingest, clean, and aggregate large datasets.

This Codecademy Python Pandas Course was created to help you with creating, loading, and selecting data using Pandas. You will get to master skills of using the Data with other Python Modules like Scipy for statistical analysis or Matplotlib for data visualizations. It covers all the key aspects related to Pandas and a handful of practice exercises to improve your practical knowledge.

Pros & Cons

Key Highlights & USPs

• This Codecademy Python for Data Analysis Course’s Syllabus is divided into 4 lessons to teach ways of creating Dataframes using Pandas and much more.
  • Introduction to Pandas
  • Aggregates in Pandas
  • Multiple Tables
    
    
• Learn to create tables to manipulate data to process them easier and faster.
  
  
• Understand the basics of aggregate functions in Pandas.
  
  
• Construct Pandas DataFrames to calculate aggregates and describe groups of data.
  
  
• Learn how to merge multiple tables in Pandas from DataFrames.
  
  
• Build practical knowledge by analyzing three portfolio projects such as Petals inventory, A/B testing, and page visits funnel.
  
  
• Get access to quizzes, hands-on projects, and 6 hours of on-demand video.

Who is it for?

This Data Analysis with Pandas Course is for intermediate learners who understand Python 2 and have used Python before. Take the Python 2 Course from Codecademy if you want to improve your skills. Once you finish the tutorial, you can ingest, clean, and aggregate large data sets. After finishing this course, you can take the Python for Data Visualization Course to broaden your knowledge.

Data Manipulation with Pandas [DataCamp]

This Datacamp Python Pandas Course is a step-by-step guide to tell you about the usage of the Industry-standard library Pandas. You are going to learn how it is used for importing, building, and manipulating Data Frames. This Python Pandas Course starts with a basic introduction of Pandas DataFrames and takes you through concepts of data analysis, selection, and data visualization. You will develop an understanding of how Pandas work with real-world datasets that contain both string and numeric data.

This Pandas Foundations Course was created in collaboration with Team Anaconda from the Data Science training program. It’s an open-source distribution platform to do Python for data science and machine learning in the fastest way. Upon completion, you will familiarize yourself with why Pandas is essential for finance, data science, and new scientific fields.

Pros & Cons

Key Highlights & USPs

• This DataCamp Data Visualization with Pandas consists of 4 courses to teach importing and manipulating data with Pandas-Python Library.
  • Transforming Dataframes
  • Aggregating Dataframes
  • Slicing and Indexing Dataframes
  • Creating and Visualizing
    
    
• Introduced to Pandas DataFrames and how it is used for data ingestion and inspection.
  
  
• Learn to build Data Frames from scratch for data visualization.
  
  
• Explore a process called Exploratory Data Analysis to check datasets visually and quantitatively.
  
  
• Discover how Pandas manipulate and visualize time series data.
  
  
• Apply all the learned techniques on case studies of weather and climate data.
  
  
• Improve your practical skills with 62 practice exercises, 15 video lectures, and four sessions with experts in Python and Data Analysis.

Who is it for?

This Python Pandas Course will help you expand your knowledge of Data Science. Upon completing this Pandas course, you will be able to manipulate data with this Python library and learn how to visualize data. If you are new to Data Science, check out the best Data Science courses to learn this exciting field.

Python Pandas Courses [Coursera]

This Coursera Python Pandas Course offers a vast platform to learn Python with the top instructors from data science, AI, machine learning backgrounds. It has created a single category for the people who are seeking knowledge related to Python and its powerful packages, such as Pandas. As Data Analyst jobs are thriving in the job market, hence the value of learning Python. Pandas are specially written in the Python programming language to manipulate data and analyze them.

Coursera Python is itself a category to help the students study Python from basic to advanced level. It has a list of 20+ courses under the Python online courses category to teach you Pandas and its application in the field of data science, machine learning, and data analysis. These Python Pandas Courses and Certifications are categorized into three levels: Beginners, Intermediate, and Advance. Along with this, you can take the best data analysis courses to study how raw data works with Python.

Pros & Cons

Key Highlights & USPs

• Learn to install Pandas and write codes from scratch.
  
  
• Explore fundamentals of Python programming language for Data Analysis.
  
  
• Understand how to apply techniques and programming skills in real-world case studies.
  
  
• Work on hands-on projects to learn more about Pandas DataFrames and Time series.
  
  
• Discover the fact that Pandas become an essential tool for data analytics.
  
  
• Master the skills with unlimited access to video lectures, practice exercises, articles, and graded assignments.
  
  
• Audit the Python classes for free and take advantage of enhancing your skill sets.

Who is it for?

Some of the Python Pandas Courses are for programmers who want to upgrade their knowledge and set their career path. If you have basic Python knowledge, it will benefit you. If you complete any of these courses, you will better understand how to use Pandas for data analysis and visualization.

Advanced Pandas [Pluralsight]

This Pluralsight Advanced Pandas Course offers you a thorough knowledge of data analysis tools and Python’s most popular library, Pandas. You will learn to handle large and complex data sets in an organized way. You get to understand advanced concepts of Pandas that include time-series data, window operations, plotting, and joins. It will let you perform data analysis using Python.

The Author, Pawel Kordek, created this Pluralsight Pandas Course to guide you through the pathway of practicing data science using Pandas effectively. He is a passionate expert who mainly focuses on exploring from small to large datasets and teaches students to work with emerging tools to make it easier for handling large amounts of data. This course will help you as a Python programmer to master the skills.

Pros & Cons

Key Highlights & USPs

• This Pluralsight Python Course is designed to teach effective Pandas skills in short 9 lessons and prepare you to implement for datasets.
  
  
• Learn to prepare your datasets with two demos.
  
  
• How to perform database-style joins stored in multiple data tables.
  
  
• Get practical tips to move between long and wide DataFrames.
  
  
• Discover techniques to work with higher-dimensional data.
  
  
• How to handle time-series data and analyze them.
  
  
• Understand the method of getting more insights into your data with windows.
  
  
• Explore how to present generated data by informative and appealing plots.

Who is it for?

Before taking this professional tutorial, you should be familiar with Python and Pandas. This intermediate-level Python Pandas Course makes you proficient at applying to the Pandas Library and landing an entry-level job as a data scientist or analyst.  If you are not familiar with Data Analysis, you can check the list of Best Data Analysis Courses to start your journey as a Data Analyst.

Top Pandas Courses [Udemy]

If you are familiar with a little bit of Python, these Udemy Python Pandas Courses are good to start. Udemy is the most recommended place to learn any new skill. It is a one-stop e-learning platform for programmers and data scientists. It has a compiled list of Top Pandas Courses to teach how to analyze data quickly and easily with Python’s powerful Pandas library. You discover how data structures and operations are used for manipulating time series data.

Udemy offers you the Best Python Pandas tutorials to introduce basic to advanced concepts of Pandas. This Udemy Python Category comprises a multitude who teaches methods and fundamental techniques used for data analysis. Some of the courses are available to give you an overview of Pandas programming script in minutes.

Pros & Cons

Key Highlights & USPs

• Learn Introduction of Pandas with the installation process and how it works.
  
  
• How to collect and clean the datasets before manipulating them.
  
  
• Discover how Pandas connect and import directly any database from sources.
  
  
• Master Pandas library to analyze, manipulate, and visualize big data.
  
  
• Explore data with the help of Pandas data frames and time series.
  
  
• Improve machine learning and Python skills by practicing 100+ exercises in Pandas.
  
  
• Get unlimited access to study materials, graded assignments and quality hands-on projects to enhance your programming.

Who is it for?

Try any Udemy Python Pandas  Online Courses if you are willing to learn and explore this subject. Some of these courses may not require Python experience. This bundle of Pandas tutorials for Data Analysis and Data Science gives you a pathway to set yourself up in the competitive market and help you earn your dream job.

Python Pandas Online Tutorials [LinkedIn Learning]

LinkedIn Learning is another popular platform for free courses and tutorials to build your portfolio. LinkedIn has built an accessible platform of e-learning courses and certifications for millions of learners and professionals. You will get essential Python Pandas training to explore basic topics such as data frames, plotting, indexing, and merging large datasets. It will help you to work with data efficiently.

Linkedin learning platform prepared this Python pandas category for learners to build a foundational knowledge of Pandas. It provides all kinds of courses such as Machine Learning, AI, and Data Science. It also has a list of five courses to learn Python Pandas to become Pro.

Pros & Cons

Key Highlights & USPs

• Learn Pandas to cover key concepts such as install Jupyter Notebooks, use data input and validation, basic plotting, group, and Data visualizations.
  
  
• Explore how to use Pandas for Data Science and become a business analyst.
  
  
• Build a deep knowledge with an advanced Pandas course.
  
  
• Discover how to improve your code’s speed and efficiency using Pandas.
  
  
• Learn to use Matplotlib Python’s library to build accurate, engaging, and easy-to-generate charts for data visualization.
  
  
• Get full lifetime access to quizzes at the end of chapters and perform skills on projects at the end of each course.

Who is it for?

LinkedIn Python Pandas Training will help programmers and graduates to go from zero to pro in Pandas. After completing, you will become proficient in handling data frames using Pandas Python library and get more projects.

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