Anaconda Courses and Certifications

Jeff Heaton

Installing Miniforge and Anaconda/Miniconda Side-by-Side on Mac M1 Monterey

Configure Anaconda and Miniforge side-by-side on an Apple Silicon Mac for TensorFlow and Keras with Apple Metal support.

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

Building and Distributing Packages with Conda

Learn how to write Conda recipes and share them on Anaconda Cloud.

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

DevConf

The Story of the Anaconda Backend - Modularizing a Legacy System Installer

Explore the journey of modularizing Anaconda, the Linux system installer, and learn about the challenges faced in implementing a D-Bus backend for a new web UI.

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

DevConf

Anaconda Kickstart with Superpower - Automated Provisioning for Fedora and Red Hat Systems

Explore automated provisioning for Fedora and Red Hat systems with a prototype kickstart HTTP endpoint and out-of-band server power management project.

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

Python Data Science: Environment Setup

Set up a Python data science environment with Anaconda and Jupyter, managing libraries through a data science platform rather than installing each one separately.

• Coursera
• 2 weeks, 1 hour a week
• Self-Paced
• Paid Course

Mecharithm - Robotics and Mechatronics

Essential Tools for Machine Learning Tutorials

A practical setup guide for installing Anaconda, creating virtual environments, and preparing TensorFlow for machine learning tutorials.

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

Bioinformagician

Demystifying Conda and Virtual Environments for Bioinformatics

Comprehensive guide to Conda and virtual environments, covering installation, package management, and environment creation for Python and R projects. Includes practical demonstrations and comparisons between different tools.

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

DevConf

System Provisioning and Bootc - Now and the Future

Explore bootc container deployment options, system provisioning techniques, and configuration frontends for modern infrastructure management.

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

Great Learning

Types of Python IDE - Anaconda, Jupyter, Pycharm, Spyder

Compare Python development environments—from Anaconda and Jupyter to PyCharm, Spyder, IDLE, and Google Colab—and learn their core features.

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

Great Learning

Anaconda Python Tutorial - Anaconda Installation

Learn to install Anaconda and use it for foundational Python programming with variables, data types, data structures, control flow, and functions.

• YouTube
• 1 hour 9 minutes
• Self-Paced
• Free Video

Coursera

Geospatial Foundations & Vector Analysis

Build a Python geospatial workflow: coordinate reference systems, vector versus raster data, GeoPandas spatial joins and reprojection, ISO-19115 metadata, and geometry validity checks.

• Coursera
• 12 weeks, 1 hour a week
• Self-Paced
• Paid Course

Coursera

Setup Python Geo Stack

Set up a reproducible Python geospatial environment: install GeoPandas and Rasterio with conda, manage channels and isolated environments, and run version-check scripts to validate readiness.

• Coursera
• 3 weeks, 1 hour a week
• Self-Paced
• Paid Course

Packt

Using Community Code

Manage Python environments with pip, virtual environments, pipenv, and conda, isolating dependencies and reproducing setups across projects like image resizing and data analysis.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

EDUCBA

Apply Machine Learning Foundations with Python

Progress from machine-learning concepts to a hands-on Python workspace using Anaconda, Jupyter, libraries, and NumPy to begin experimenting with ML tools.

• Coursera
• 2 weeks, 3 hours a week
• Self-Paced
• Paid Course

Python Simplified

Learn Python Programming Step by Step

Discover Python programming fundamentals through hands-on tutorials covering installation, syntax, data types, functions, OOP, and NumPy for complete beginners.

• YouTube
• 7 hours 47 minutes
• Self-Paced
• Free Video