SciPy Courses and Certifications

Biomedical Image Analysis in Python

12 ratings at DataCamp

Learn the fundamentals of exploring, manipulating, and measuring biomedical image data.

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

Monte Carlo Simulations in Python

12 ratings at DataCamp

Learn to design and run your own Monte Carlo simulations using Python!

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

Cluster Analysis in Python

In this course, you will be introduced to unsupervised learning through techniques such as hierarchical and k-means clustering using the SciPy library.

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

Time Series in Python

Gain the skills you need to manipulate, interpret, and visualize time series data in Python, using pandas, NumPy, and Matplotlib.

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

A/B Testing in Python

Learn the practical uses of A/B testing in Python to run and analyze experiments. Master p-values, sanity checks, and analysis to guide business decisions.

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

EuroPython Conference

Multibody Simulation Using Sympy, Scipy and Vpython

Explore multibody simulation using Python packages sympy, scipy, and vpython for engineering and educational purposes. Learn to formulate mechanical problems and integrate equations.

• YouTube
• 30 minutes
• Self-Paced
• Conference Talk

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

Prof. Ryan C. Cooper

Linear Algebra in NumPy and SciPy - ME3255

Learn essential linear algebra operations using NumPy and SciPy libraries in Python for efficient numerical computations and data analysis.

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

Descriptive and Inferential Statistics with Python

Master statistical analysis using Python's powerful libraries - from basic descriptive measures to advanced inferential techniques, with hands-on practice using real-world datasets and practical applications.

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

Linear Algebra for Data Science: Practical Applications with Python

Jump in this 20 Hours course to master essential linear algebra techniques for turning raw data into actionable insights using Python and to elevate your analytical and computational skills to attain proficiency in high-impact data solutions with real-wo…

• OpenLearning
• 20 hours
• Self-Paced
• Paid Course

Credential

Data-Oriented Python Programming and Debugging

18 ratings at Coursera

Master Python debugging with the OILER framework while learning data manipulation and analysis using NumPy, pandas, and SciPy libraries to produce high-quality, readable, and reproducible code for data science projects.

• Coursera
• 16 weeks, 5 hours/week
• Self-Paced
• Paid Course
• 4 courses

Python Debugging Capstone Project: Fixing and Extending Code

Master debugging and extending Python code using NumPy, pandas, and SciPy while applying the OILER framework to analyze complex datasets and create clean, maintainable documentation.

• Coursera
• 15 hours 21 minutes
• Self-Paced
• Paid Course

Data Processing Using Python

378 ratings at Coursera

Comprehensive Python course for non-CS majors, covering data acquisition, processing, analysis, and visualization. Includes practical applications in finance, humanities, and sciences using popular libraries.

• Coursera
• 1 day 7 hours 51 minutes
• Self-Paced
• Paid Course

Introduction to Numerical Computing with NumPy - SciPy 2019 Tutorial

1 rating

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
• Self-Paced
• Free Video

Deep Learning Prerequisites: The Numpy Stack in Python V2

3812 ratings at Udemy

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

• Udemy
• 1 hour 59 minutes
• Self-Paced
• Free Online Course