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Building R Packages

Introduction to Neurohacking In R

MITx: Introduction to Computational Thinking and Data Science

The Data Scientist’s Toolbox

Packet Switching Networks and Algorithms

The Bits and Bytes of Computer Networking

Intel® Network Academy - Network Transformation 101

Networking for Web Developers

Introduction to Cloud Networking Solutions

Juniper Networks Security Concepts and Initial Configuration

Aruba SD WAN Basics

Networks and Communications Security

Network Security & Database Vulnerabilities

IoT Communications and Networks

IoT Networking

Network Function Virtualization

Software Defined Networking

Information Extraction from Free Text Data in Health

Intel® Network Academy - Network Transformation 102

Fundamentals of Network Communication

Computer Science: Algorithms, Theory, and Machines

GTx: Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues

Secure Networked System with Firewall and IDS

CurtinX: IoT Networks and Protocols

CurtinX: Introduction to Software Defined Networking

CurtinX: Software Defined Networking (SDN) Deployment

CurtinX: Software Defined Networking (SDN) Access Security

Software Defined Networking

Computer Vision for Engineering and Science Specialization

PurdueX: Computer Vision for Embedded Systems

StanfordOnline: Algorithms: Design and Analysis, Part 1

Data Structures

Discrete Optimization

Algorithmic Thinking (Part 2)

Algorithmic Thinking (Part 1)

Shortest Paths Revisited, NP-Complete Problems and What To Do About Them

Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming

Algorithmic Toolbox

Principles of Computing (Part 1)

GTx: Computing in Python III: Data Structures

IsraelX: Bayesian Algorithms for Self-Driving Cars

Graph Search, Shortest Paths, and Data Structures

Algorithms, Part II

Algorithms, Part I

Sequence Models

Divide and Conquer, Sorting and Searching, and Randomized Algorithms

Introduction to Computer Vision

Object Tracking and Motion Detection with Computer Vision

Computer Vision in Microsoft Azure

Deep Learning Applications for Computer Vision

Computational Vision

JSON and Natural Language Processing in PostgreSQL

Natural Language Processing with Sequence Models

Natural Language Processing with Attention Models

Advanced Deep Learning Methods for Healthcare

MichiganX: JSON and Natural Language Processing in PostgreSQL

Computer Vision with Embedded Machine Learning

IBM: Machine Learning with Python: A Practical Introduction

IBM: PyTorch Basics for Machine Learning

MichiganX: Python Data Structures

HarvardX: CS50's Introduction to Programming with Python

AWS: Building Modern Python Applications on AWS

IBM: Visualizing Data with Python

RaspberryPiFoundation: Teach teens computing: Object-oriented Programming in Python

Supervised Machine Learning: Regression and Classification

Mathematics for Machine Learning Specialization

Machine Learning Specialization

Natural Language Processing Specialization

Linear Regression and Modeling

Inferential Statistics

Introduction to Probability and Data with R

Robotics: Perception

Robotics: Estimation and Learning

Robotics: Capstone

Robotics: Mobility

Data Science Foundations: Statistical Inference Specialization

edX: Try It: Intro to Python

Codio: Python Programming: Basic Skills

HarvardX: CS50's Introduction to Programming with Python

MITx: Introduction to Computer Science and Programming Using Python

HarvardX: Introduction to Data Science with Python

HarvardX: Using Python for Research

Google Advanced Data Analytics Professional Certificate

Executive Data Science Specialization

Artificial Intelligence and legal issues

Artificial Intelligence: An Overview

AI in Healthcare Capstone

Robotics: Aerial Robotics

Learn Python for Total Beginners

Learn Python 3

Applied AI with DeepLearning

Crash Course on Python

Robotics: Computational Motion Planning

Web Application Technologies and Django

Computer Vision

First Principles of Computer Vision Specialization

Advanced Computer Vision with TensorFlow

Introduction to Computer Vision and Image Processing

Getting Started with Generative AI API Specialization

Generative Adversarial Networks (GANs) Specialization

Generative Deep Learning with TensorFlow

Natural Language Processing in TensorFlow

Fundamentals of Machine Learning for Healthcare

Machine Learning Foundations: A Case Study Approach

Machine Learning With Big Data

Machine Learning: Regression

AI Fundamentals for Non-Data Scientists

Machine Learning Foundations for Product Managers

Machine Learning for Computer Vision

MITx: Machine Learning with Python: from Linear Models to Deep Learning

Introduction to Deep Learning

Deep Learning and Reinforcement Learning

AI For Everyone

Computer Vision Basics

Principles of Computing (Part 2)

Principles of Computing (Part 1)

An Introduction to Interactive Programming in Python (Part 2)

Begin Robotics

Artificial Intelligence for Robotics

Data Visualization Capstone

Publishing Visualizations in R with Shiny and flexdashboard

Advanced Data Visualization with R

Data Visualization in R with ggplot2

Getting Started with Data Visualization in R

Data Analysis with R

Introduction to R Programming for Data Science

HarvardX: Statistics and R

Modern Robotics, Course 6: Capstone Project, Mobile Manipulation

Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

Modern Robotics, Course 4: Robot Motion Planning and Control

Modern Robotics, Course 3: Robot Dynamics

Modern Robotics, Course 2: Robot Kinematics

Modern Robotics, Course 1: Foundations of Robot Motion

Using JavaScript and JSON in Django

Django Features and Libraries

Building Web Applications in Django

R Programming

Collaborative Robot Safety: Design & Deployment

An Introduction to Interactive Programming in Python (Part 1)

Capstone: Retrieving, Processing, and Visualizing Data with Python

Using Databases with Python

Using Python to Access Web Data

Python Data Structures

Build Basic Generative Adversarial Networks (GANs)

Apply Generative Adversarial Networks (GANs)

Natural Language Processing with Classification and Vector Spaces

Natural Language Processing with Probabilistic Models

Practical Machine Learning

Intro to Machine Learning

Programming for Everybody (Getting Started with Python)

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