Anaconda Ecosystem for Data Scientists

• Python programming experience

Audience

• Data scientists

Anaconda is a free distribution of Python and R programming languages for data science. It provides an easy-to-use platform that simplifies package management and deployment.

This instructor-led, live training (online or onsite) is aimed at data scientists who wish to use the Anaconda ecosystem to capture, manage, and deploy packages and data analysis workflows in a single platform.

By the end of this training, participants will be able to:

• Install and configure Anaconda components and libraries.
• Understand the core concepts, features, and benefits of Anaconda.
• Manage packages, environments, and channels using Anaconda Navigator.
• Use Conda, R, and Python packages for data science and machine learning.
• Get to know some practical use cases and techniques for managing multiple data environments.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

Introduction

• Overview of Anaconda features and components
• Core concepts and terminologies

Getting Started

• Installing Anaconda
• Exploring the Anaconda Navigator UI
• Running a Python program

Using Anaconda Navigator

• Creating Python and R environments
• Managing environments, packages, and channels
• Building Anaconda Navigator apps
• Using multiple versions of Python

Managing Packages with Conda

• Configuring Conda
• Managing packages, channels, and virtual packages
• Using Conda with Travis CI
• Conda Python APIs

Data Science, Analysis, and ML in Anaconda

• Python and R fundamentals
• Tools and techniques
• Use cases and examples
• Visualization and analysis

Troubleshooting

Summary and Next Steps