NumPy Courses and Certifications

Introduction to NumPy

62 ratings at DataCamp

Master your skills in NumPy by learning how to create, sort, filter, and update arrays using NYC’s tree census.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Deep Dive into Numpy and Pandas with Housing Data

Master advanced Numpy and Pandas operations through hands-on practice with housing data, covering matrix operations, data optimization, and real-world applications in bioinformatics, astronomy, and social networks.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

NumPy Basics

Master NumPy fundamentals through hands-on practice with arrays, indexing, reshaping, and statistical operations. Build a strong foundation in scientific computing and data manipulation using Python's essential numerical library.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Fundamentals of Vectors and Matrices with NumPy

Master essential vector and matrix operations using NumPy, from initialization and properties to determinants and rank calculations, building practical linear algebra skills for data analysis.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Microcredential

Linear Algebra Programming with NumPy

4 ratings at CodeSignal

Master linear algebra fundamentals with NumPy through hands-on programming exercises, covering vectors, matrices, eigenvalues, and practical applications in data science and machine learning.

• CodeSignal
• 10 hours
• On-Demand
• Free Certificate
• 3 courses

Basics of Numpy and Pandas with Titanic Dataset

1 review

Master data manipulation and analysis using Numpy and Pandas libraries through hands-on practice with the Titanic dataset, covering array operations, DataFrame handling, descriptive statistics, and data filtering.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Python for Data Science - Course for Beginners (Learn Python, Pandas, NumPy, Matplotlib)

82 reviews

Learn Python for data analysis using Pandas, NumPy, and Matplotlib. Hands-on practice with real-world examples, including a COVID-19 trend analysis project.

• freeCodeCamp
• 12 hours
• On-Demand
• Free Video

Learn NumPy Fundamentals (Python Library for Data Science)

1321 ratings at Udemy

All the basics to start using the python library NumPy

• Udemy
• 1 hour 49 minutes
• On-Demand
• Free Online Course

Master NumPy Basics For Data Science & Data Analysis

891 ratings at Udemy

Master The Basics of NumPy Which Will Help You Achieve Data Science & Data Analysis Skills As A Beginner

• Udemy
• 1 hour 57 minutes
• On-Demand
• Paid Course

NumPy and Pandas Basics for Future Data Scientists

12 ratings at Coursera

Master NumPy and pandas libraries for efficient data manipulation, from basic array operations to advanced techniques like broadcasting, reshaping, sorting, and joining arrays for numerical computing and data science.

• Coursera
• 19 hours 2 minutes
• On-Demand
• Paid Course

Data Science with NumPy, Sets, and Dictionaries

20 ratings at Coursera

Master NumPy, sets, and dictionaries for data science. Gain hands-on experience in data manipulation, analysis, and visualization. Develop skills in vectorization, randomization, and image processing for real-world applications.

• Coursera
• 1 day 6 hours 59 minutes
• On-Demand
• Paid Course

Preprocessing Data with NumPy

464 ratings at Udemy

NumPy, ndarrays, Slicing, Random Generators, Importing and Saving Data, Statistics, Data Manipulation, Preprocessing

• Udemy
• 6 hours 44 minutes
• On-Demand
• Paid Course

Numpy For Data Science - Real Time Coding Exercises

440 ratings at Udemy

Comprehensive guide to mastering Numpy for efficient numerical computations in Python. Covers arrays, functions, indexing, and real-time exercises to enhance data science skills.

• Udemy
• 2 hours 35 minutes
• On-Demand
• Paid Course

NumPy Masterclass: Python on Data Science & Machine Learning

308 ratings at Udemy

The Complete Hands-On Guide to NumPy - Used for Linear Algebra, Scientific Computing, Machine Learning and Data Science

• Udemy
• 5 hours 31 minutes
• On-Demand
• Paid Course

Coursera

Principal Component Analysis with NumPy

298 ratings at Coursera

Implement Principal Component Analysis from scratch using NumPy, conduct exploratory data analysis, and create visualizations with Seaborn and Matplotlib in Python.

• Coursera
• 1 hour 35 minutes
• On-Demand
• Paid Course