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

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
• On-Demand
• Free Certificate
• 3 courses

Basics of Numpy and Pandas with Titanic Dataset

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
• On-Demand
• Free Certificate

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
• On-Demand
• Free Certificate

Python Libraries for Data Analysis

Master essential Python data analysis tools numpy and pandas through hands-on practice with arrays, dataframes, data selection, and manipulation techniques for real-world applications.

• CodeSignal
• 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
• 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
• On-Demand
• Free Certificate

NumPy and Pandas Basics for Future Data Scientists

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
• Free Online Course (Audit)

Data Science with NumPy, Sets, and Dictionaries

13 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 49 minutes
• On-Demand
• Free Online Course (Audit)

Python NumPy Tutorial for Beginners

3 reviews

Comprehensive tutorial on NumPy: from basics to advanced concepts. Learn array creation, indexing, math operations, linear algebra, statistics, and data manipulation for efficient numerical computing in Python.

• freeCodeCamp
• On-Demand
• Free Video

BiteSize Python: NumPy and Pandas

Master data manipulation and analysis with NumPy and Pandas libraries, exploring multidimensional arrays, Series, DataFrames, and essential statistical operations for efficient handling of large datasets.

• Coursera
• 13 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Introduction to Numerical Computing with NumPy - SciPy 2019 Tutorial

1 review

Learn NumPy's powerful array processing capabilities, including array syntax, indexing, mathematical functions, and custom routines. Gain practical skills through hands-on examples and visualize results using matplotlib.

• YouTube
• 2 hours 16 minutes
• On-Demand
• Free Video

Learn NumPy Fundamentals (Python Library for Data Science)

1294 ratings at Udemy

All the basics to start using the python library NumPy

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

Master Python With NumPy For Data Science & Machine Learning

793 ratings at Udemy

Learn NumPy for efficient data analysis and machine learning in Python. Master nd-arrays, matrix computations, and vectorized operations for faster numerical processing and improved performance.

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

Numpy For Data Science - Real Time Experience

327 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