AWS Network Connectivity Options
Knowledge of networking on Amazon Web Services (AWS) beyond the foundational level. Learn about various connectivity options, including how to choose the best way to create a secure network. Explore and analyze complex network design patterns and learn best practices.
Learn How to Use GitHub and explore Key GitHub Concepts.
Building on the topics covered in Introduction to Version Control with Git, this conceptual course enables you to navigate the user interface of GitHub effectively. Create public and private repositories, create and modify files, branches, and issues, assign tasks, tag users, review pull requests, and merge branches. Clone and fork repositories and generate private access tokens (PAT).
By Jasmin Ludolf, Data Science Content Developer, DataCamp
Discover the importance of version control when working on data science projects and explore how to use Git to track files, compare differences, modify and save files, undo changes, and allow collaborative development through the use of branches. Introduction to the structure of a repository, create new repositories and clone existing ones, and show how Git stores data. Skills to handle conflicting files.
By George Boorman, Analytics and Data Science Curriculum Manager, DataCamp
Ressources: Git Cheatsheet
Learn container management and orchestration for Kubernetes using Amazon EKS. Build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. Manage container images using Amazon Elastic Container Registry (ECR) and automate application deployment. Deploy applications using CI/CD tools. Monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. Configure AWS networking services to support the cluster and secure your Amazon EKS environment.
Instructor: Herbie Garcia
Learn container management and orchestration for Kubernetes using Amazon EKS. Build an Amazon EKS cluster, configure the environment, deploy the cluster, and then add applications to your cluster. Manage container images using Amazon Elastic Container Registry (ECR) and automate application deployment. Deploy applications using CI/CD tools. Monitor and scale your environment by using metrics, logging, tracing, and horizontal/vertical scaling. Configure AWS networking services to support the cluster and secure your Amazon EKS environment.
Instructor: ???
The AWS Technical Essentials Training course introduces cloud computing concepts, fundamental AWS products, services, and common solutions with demos, knowledge checks, and hands-on lab activities. It provides learners with the basic fundamentals to get started on AWS.
Instructor: Dan Puser
NumPy is an essential Python library. TensorFlow and scikit-learn use NumPy arrays as inputs, and pandas and Matplotlib are built on top of NumPy. In this Introduction to NumPy course, you'll become a master wrangler of NumPy's core object: arrays! You'll discover why NumPy is so efficient and use broadcasting and vectorization to make your NumPy code even faster. By the end of the course, you'll be using 3D arrays to alter a Claude Monet painting.
By Izzy Weber, Curriculum Developer @ DataCamp
Create and change array shapes to suit your needs. Discover NumPy's many data types and how they contribute to speedy array operations.
Lead by Team Anaconda, Data Science Training
Bokeh is an interactive data visualization library for Python—and other languages—that targets modern web browsers for presentation. It can create versatile, data-driven graphics and connect the full power of the entire Python data science stack to create rich, interactive visualizations.
Object-oriented programming (OOP) is a widely used programming paradigm that reduces development times—making it easier to read, reuse, and maintain your code. OOP shifts the focus from thinking about code as a sequence of actions to looking at your program as a collection of objects that interact with each other. In this course, you’ll learn how to create classes, which act as the blueprints for every object in Python. You’ll then leverage principles called inheritance and polymorphism to reuse and optimize code.
By Alex Yarosh, Curriculum Developer @ Cockroach Labs
Learn what object-oriented programming (OOP) is, how it differs from procedural-programming, and how it can be applied. Define your own classes, and create methods, attributes, and constructors.