Our expert reviews team has listened to countless hours of video and trawled through lots of data to formulate this list of the Best Pandas Courses Online.
10 Best Online Courses For Pandas
Course Name | Enrolled Students (Count) | Reviews (count) |
---|---|---|
1. Data Analysis with Pandas and Python Our Best Pick | 135469+ | 10749+ |
2. Data Processing with Python | 10537+ | 1433+ |
3. The Complete Pandas Bootcamp 2020: Data Science with Python | 9618+ | 1326+ |
4. Data Analysis in Python with Pandas | 5755+ | 742+ |
5. Complete Data Analysis with Pandas : Hands-on Pandas Python | 10890+ | 491+ |
6. Data Manipulation in Python: A Pandas Crash Course | 2430+ | 308+ |
7. Manage Finance Data with Python & Pandas: Unique Masterclass | 3211+ | 277+ |
8. Pandas with Python Tutorial | 40787+ | 260+ |
9. Python Pandas Library Full Tutorial | 19227+ | 161+ |
10. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis | 18336+ | 135+ |
1. Data Analysis with Pandas and Python by Boris Paskhaver Udemy Course Our Best Pick
As of right now, more than 135469+ people have enrolled in this course and there are over 10749+ reviews.
Analyze data quickly and easily with Python’s powerful pandas library! All datasets included — beginners welcome!
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2. Data Processing with Python by Ardit Sulce Udemy Course
As of right now, more than 10537+ people have enrolled in this course and there are over 1433+ reviews.
Learn how to use Python and Pandas for cleaning and reorganizing huge amounts of data.
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3. The Complete Pandas Bootcamp 2020: Data Science with Python by Alexander Hagmann Udemy Course
As of right now, more than 9618+ people have enrolled in this course and there are over 1326+ reviews.
Pandas fully explained | 150+ Exercises | Must-have skills for Machine Learning & Finance | + Scikit-Learn and Seaborn
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4. Data Analysis in Python with Pandas by Bill Chambers Udemy Course
As of right now, more than 5755+ people have enrolled in this course and there are over 742+ reviews.
Getting an introduction to doing data analysis with the Python pandas library with hours of video and code.
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5. Complete Data Analysis with Pandas : Hands-on Pandas Python by “Ankit Mistry, Data Science & Machine Learning Academy” Udemy Course
As of right now, more than 10890+ people have enrolled in this course and there are over 491+ reviews.
“Learn in demand skill Pandas, Sci-kit Learn, Numpy For Data Science & Machine Learning : Seaborn | MatplotLib | Python”
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6. Data Manipulation in Python: A Pandas Crash Course by “Samuel Hinton, Kirill Eremenko, Hadelin de Ponteves, SuperDataScience Team” Udemy Course
As of right now, more than 2430+ people have enrolled in this course and there are over 308+ reviews.
“Learn how to use Python and Pandas for data analysis and data manipulation. Transform, clean and merge data with Python.”
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7. Manage Finance Data with Python & Pandas: Unique Masterclass by Alexander Hagmann Udemy Course
As of right now, more than 3211+ people have enrolled in this course and there are over 277+ reviews.
“Analyze Stocks with Pandas, Numpy, Seaborn & Plotly. Create, analyze & optimize Index & Portfolios (CAPM, Alpha, Beta)”
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8. Pandas with Python Tutorial by EDU CBA Udemy Course
As of right now, more than 40787+ people have enrolled in this course and there are over 260+ reviews.
This Python course will get you up and running with using Python for data analysis and visualization.
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9. Python Pandas Library Full Tutorial by Diptam Paul Udemy Course
As of right now, more than 19227+ people have enrolled in this course and there are over 161+ reviews.
Pandas Library
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10. The Ultimate Pandas Bootcamp: Advanced Python Data Analysis by Andy Bek Udemy Course
As of right now, more than 18336+ people have enrolled in this course and there are over 135+ reviews.
“Master the powerful pandas library to analyze, manipulate and visualize data. More than 10 datasets & bonuses included!”
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The courses can be accessed online from any UK regions such as North East, North West, Yorkshire and the Humber, West Midlands, East Midlands, South West, South East, East of England and Greater London