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Course topic

NumPy & Pandas Mastery

  1. Topics
  2. Development
  3. NumPy & Pandas Mastery
Also indexed asPandas · NumPy · Data Manipulation

Efficiently handle large datasets and perform numerical operations with the essential Python data stack.

  1. Topics
  2. Development
  3. NumPy & Pandas Mastery
Also indexed asPandas · NumPy · Data Manipulation
Courses indexed
42
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Complete Python for Data Science & Machine Learning from A-Z
Instructor Oak Academy
Oak Academy
1 course
English
Complete Python for Data Science & Machine Learning from A-Z

Complete Python for Data Science & Machine Learning from A-Z

(4.32 with 190 reviews)
1.2K
students
43 hours
content
Apr 2026
updated
$19.99
Machine Learning & Data Science A-Z: Hands-on Python 2024
Instructor Navid Shirzadi, PhD, P.Eng.
Navid Shirzadi, PhD, P.Eng.
1 course
English
Machine Learning & Data Science A-Z: Hands-on Python 2024

Machine Learning & Data Science A-Z: Hands-on Python 2024

(4.29 with 1.2K reviews)
Python for Data Analysis & Visualization
Instructor Malvik Vaghadia
Malvik Vaghadia
1 course
English
Python for Data Analysis & Visualization

Python for Data Analysis & Visualization

(4.46 with 3.6K reviews)
Python Programming:Beginner to Advanced with Projects(HINDI)
Instructor Nishant Kumar
Nishant Kumar
1 course
Hindi
Python Programming:Beginner to Advanced with Projects(HINDI)

Python Programming:Beginner to Advanced with Projects(HINDI)

(4.50 with 1 reviews)
Data Science et Machine Learning | MasterClass Python
Instructor Jose Portilla
Jose Portilla
1 course
French
Data Science et Machine Learning | MasterClass Python

Data Science et Machine Learning | MasterClass Python

(4.51 with 939 reviews)
Apprendre la Data Science et Machine Learning en Python
Instructor skilldeve | Enseignant universitaire | Développeur | Data Scientist
skilldeve | Enseignant universitaire | Développeur | Data Scientist
1 course
French
Apprendre la Data Science et Machine Learning en Python

Apprendre la Data Science et Machine Learning en Python

(4.58 with 131 reviews)
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