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Numpy is the fundamental package for scientific computing with Python containing the N-dimensional array object.
Another popular Python package called Pandas is built on the top of Numpy library.
Both numpy and pandas are extensively used library in the field of machine learning and data analysis.
I have handpicked 5 best Udemy numpy and pandas courses that are overall well received by the students on either with the ratings or feedbacks or enrollments numbers.
The courses are considered best because students have loved these courses (ratings) and benefited from it (number of enrollments).
Note: All the Udemy courses mentioned below have inclusive features such as 30 days money back guarantee, lifetime access to the course material, a certificate on completion and you can access the course in both Android and iOS.
If you’re interested only in free courses please refer free Udemy courses and also read my Udemy review for more details about the company.
Also Read: Best Numpy Online Course and Tutorials – The Ultimate Guide
Best Udemy Numpy and Pandas Courses Review
Deep Learning Prerequisites: The Numpy Stack in Python
#Course 1
Course name: Deep Learning Prerequisites: The Numpy Stack in Python
Author: Lazy Programmer Inc.
About this course:
This is a fantastic free course on Udemy to understand and code using the numpy Stack.
Consider the course as a introductory course on how to set up all the essential libraries namely NumPy,Pandas, Matplolib and SciPy and implement numerical algorithms.
In order to understand the course concepts and assignments, a coding knowledge in Python is necessary.
What student’s are saying after taking this course?
Ratings: 4.5+ from 9,738+ students; Currently Enrolled: 122,947+
Python for Data Science and Machine Learning Bootcamp
#Course 2
Course name: Python for Data Science and Machine Learning Bootcamp
Author: Jose Portilla
About this course:
This is hands down the best numpy and pandas courses on Udemy as the ratings, reviews and enrollments numbers are impressive.
Jose Portilla teaches you how to use Python to analyse data, create beautiful visualizations and use powerful machine learning algorithms.
The bestselling Python Bootcamp course talks on how to use pandas for data analytics, use numpy for numerical computing, use pandas data frames for web scraping and more.
What student’s are saying after taking this course?
Ratings: 4.5+ from 33,808+ students; Currently Enrolled: 175,938+
Data Analysis with Pandas and Python
#Course 3
Course name: Data Analysis with Pandas and Python
Author: Boris Paskhaver
About this course:
If you are looking for the most comprehensive pandas course on Udemy, this course is a must enrol.
The course offers 19+ hour’s in-depth video tutorials on the popular Pandas Library and covers methods, attributes, features and functionalities of Pandas.
The course dives deep into the tons of different data sets and teaches how to analyse, organise, sort, filter, pivot, aggregate, clean and calculate data with this awesome library.
What student’s are saying after taking this course?
Ratings: 4.5+ from 3,770+ students; Currently Enrolled: 79,718+
Python for Financial Analysis and Algorithmic Trading
#Course 4
Course name: Python for Financial Analysis and Algorithmic Trading
Author: Jose Portilla
About this course:
If you are looking for an Udemy numpy and pandas course to learn financial analysis and algorithmic trading, this a perfect course to start with.
By the course end, you will learn Python fundamentals and the various essential libraries such as numpy, pandas, Matplotlib, stats models, etc in the context of python finance ecosystem.
What student’s are saying after taking this course?
Ratings: 4.5+ from 5,206+ students; Currently Enrolled: 40,969+
Complete NumPy Masterclass: Go from Zero to Hero in Numpy
#Course 5
Course name: Complete NumPy Masterclass: Go from Zero to Hero in Numpy
Author: Ashwin Pajankar
About this course:
Enrol in this numpy tutorial on Udemy if you want to master the advance features of numpy with Python.
The course has over 65 lectures and 7.5 hours + numpy programming videos with Jupyter notebooks to practice the Python 3 code.
By the course end, you will know how to work with Numpy Ndarrays, mathematical and statistical functions in numpy, use numpy and Matplotlib for data visualization, etc.
What student’s are saying after taking this course?
Ratings: 4.5+ from 28+ students; Currently Enrolled: 711+
Note: All Udemy prices fluctuate throughout the year. Lookout for internal Udemy sales to buy these courses at a lesser price!
Also, if you find similar Udemy numpy and pandas courses that are not compromising on quality, please let us know in the comments section.
Happy Learning!
