NumPy Courses and Certifications

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
• 2 hours
• Self-Paced
• Free Certificate

NumPy in Python Tutorial

Learn essential NumPy concepts for Python, including array creation, manipulation, and operations. Master multi-dimensional arrays, reshaping, and slicing techniques for efficient data handling.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

NumPy Data Science Essential Training With Python 3

Master NumPy for data science: arrays, indexing, computation, visualization, and statistical analysis. Hands-on practice with Python 3 and Jupyter Notebook for real-world applications.

• YouTube
• 12 hours
• Self-Paced
• Free Video

Tech with Tim

Numpy Module Tutorials

Learn to create and manipulate arrays efficiently in Python using NumPy, covering array creation, math operations, and essential techniques for data analysis and scientific computing.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

buildwithpython

NumPy Tutorial - Your Entry to Learning Data Science

Comprehensive introduction to NumPy for data science, covering basics, indexing, array operations, matrices, reshaping, mathematics, linear algebra, statistics, and file handling.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Acadgild

NumPy Python Tutorials

Master NumPy fundamentals for efficient data manipulation and analysis in Python, enhancing your skills in scientific computing and data science.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

FUN WITH DATA SCIENCE

Numpy Library

Master NumPy: array creation, manipulation, indexing, slicing, arithmetic operations, and matrix functions for efficient data handling and scientific computing in Python.

• YouTube
• 4 hours 30 minutes
• Self-Paced
• Free Video

Python NumPy for Your Grandma

Learn NumPy's array operations, indexing, math functions, and advanced techniques through easy-to-understand explanations and practical challenges. Perfect for beginners and experienced programmers alike.

• YouTube
• 2 hours 30 minutes
• Self-Paced
• Free Video

Credential

AI Programming with Python

39 ratings

Develop Python skills for AI, covering libraries, linear algebra, calculus, and neural networks. Build an image classifier using PyTorch and explore Transformer models.

• Udacity
• 52 hours
• Self-Paced
• Paid Course

Introduction to Python

16 ratings

Master the basics of data analysis with Python in just four hours. This online course will introduce the Python interface and explore popular packages.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Credential

Deep Dive into Numpy and Pandas

467 ratings at CodeSignal

Master essential data manipulation and analysis using NumPy for numerical computing and Pandas for data wrangling, from basic array operations to advanced transformations and complex data analysis techniques.

• CodeSignal
• 15 hours
• Self-Paced
• Free Certificate
• 6 courses

Deep Learning Prerequisites: The Numpy Stack in Python (V2+)

22367 ratings at Udemy

The Numpy, Scipy, Pandas, and Matplotlib stack: prep for deep learning, machine learning, and artificial intelligence

• Udemy
• 6 hours 17 minutes
• Self-Paced
• Paid Course

IIT Madras;  NPTEL

Python for Data Science

43 ratings

The course aims at equipping participants to be able to use python programming for solving data science problems.

• Swayam
• 4 weeks
• Self-Paced
• Free Online Course

Data Analysis with Python

31 ratings

Learn Python-based data analysis using Numpy, Pandas, and visualization libraries. Covers data cleaning, manipulation, and visualization techniques for extracting insights from various data sources.

• freeCodeCamp
• 300 hours
• Self-Paced
• Free Certificate

Comprehensive Data Wrangling and Analysis with Pandas and Numpy

Master advanced data manipulation techniques using Pandas and NumPy, from complex grouping operations to sophisticated preprocessing, scaling, and analysis methods for extracting meaningful insights from datasets.

• CodeSignal
• 2 hours
• Self-Paced
• Free Certificate