Pandas is one of the most potent and popular Python libraries for Data Analysis. It’s also one of the favorite tools for Data Scientist 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 Paands, well and good, but if you don’t nevermind, as I am going to share some of the best online courses to learn Pandas and Data Analysis with Python in 2020.
It also offers SQL like 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 package for scientific calculation. Two of the main Pandas object are Series and DataFrame, which are similar to one and two-dimensional array 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.
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 Scientist. Because of this power and its data analysis ability, many people call Pandas as “Excel for Python” or “Excel on Steroids.” Now that we have convinced with 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.
2. Using Artificial Intelligence to detect COVID-19
3. Real vs Fake Tweet Detection using a BERT Transformer Model in few lines of code
4. Machine Learning System Design
These are the best online courses I have come across while learning Pandas. They are both hands-on and contains the right mixture of theory and practice. Though, you don’t need to join all these courses, choose a couple of ones where you can connect with Instructors.
This is one of the best courses to learn Data Analysis with Pandas and Python. This is both hand-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.
Here is the link to sign up for this course — Data Analysis with Pandas and Python
This is also one of the best Udemy course on Data analysis, Pandas, and Python, and it’ a worth much more than just $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.
This is another excellent, inter-active 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 ho 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.
Here is the link to sign up for this course —Data Analysis with Pandas
If you like Interactive learning and have a CodeCademy membership, I strongly recommend this course for learning Pandas.
This is one of the most practical courses you will find online to learn Pandas. The comes with real data and 150+ exercises for analyzing that data. This project and practice will make you a Pandas master.
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 lastest 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 2,860 students enrolled. A big thanks to instructor Alexander Hagmann for creating this excellent course.
Here is the link to sign up for this course — The Complete Pandas Bootcamp: Master your Data in Python
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.
Here is the link to sign up for this course — Pandas Fundamentals By Pawel Kordek
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.
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.
Here is the link to sign up for this course —Introduction to Data Science in Python
If you are looking for a Data Science Certification, I strongly suggest to make a thin one; it’s both reputed, offered by the University of Michigan, and well structured.
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.
That’s all about some of the best online courses to learn Pandas and Data Analysis with Python in general. As I told, Pandas is an industry-standard Python library for data manipulation and analysis and one of the most critical tool for Data Scientist 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 of ones, and stick to that. A good suggestion is the first course in this list, and if you love interactive sessions, then the CodeCademy’s 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, it’s a good sign that I can connect to the instructor, and its an excellent course.
Other Articles Programmers and Data Scientist may like
Thanks for reading this article so far. If you like these Pandas online courses for Data Analysis with Python, then please share it 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.
Other Python and Data Science Articles from Medium you may like