Data Visualization & Dashboarding with R Specialization
The specialization in data visualization using R is for those who are aiming to enhance their skills in visualizing data
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Fundamentals of Data Analytics in the Public Sector with R
This introductory course in Data Analytics in the Public Sector with R provides a comprehensive foundation in key public administration
Exploratory Data Analysis
This course delves into the fundamental methods of summarizing data, which is crucial for understanding patterns before delving into complex
Introduction to Business Analytics with R
This course addresses the critical need for business leaders to understand data analytics by providing foundational data processing skills applicable
Survival Analysis in R for Public Health
The course provides a comprehensive introduction to survival analysis techniques, including Kaplan-Meier plots and Cox regression, using the free statistical
Logistic Regression in R for Public Health
This course will equip you with the skills to describe datasets from scratch using descriptive statistics and basic graphical methods
Building on the SIR Model
This course will teach you to distinguish between stochastic and deterministic models, understand their appropriate applications, and perform simple simulations
Data Visualization with R
This course offers comprehensive training in data visualization using R and its related packages. Participants will learn to create various
Advanced Linear Models for Data Science 1: Least Squares
This course offers an in-depth introduction to least squares regression, approached from a linear algebraic and mathematical perspective. It is
R Programming and Tidyverse Capstone Project
The final course of the "Expressway to Data Science: R Programming and Tidyverse" specialization focuses on applying R
Introduction to Clinical Data Science
This course provides an in-depth understanding of clinical data generation and management. It covers various types of clinical data, their
Linear Regression in R for Public Health
This course in R covers multiple linear regression, emphasizing correlation, data scrutiny, and model construction. Using respiratory disease as a
Data Analysis with R
This course introduces the fundamentals of exploratory data analysis (EDA) using R. Starting with the installation and basic commands in
Introduction to Statistics & Data Analysis in Public Health
This course teaches the crucial role of statistics in public health research. You will learn to describe datasets, focusing on
StanfordOnline: R Programming Fundamentals
This course introduces R. It covers downloading and installing R, using R interactively, and understanding key objects and data structures
Financial Risk Management with R
This course equips you with the skills to calculate a securities portfolio's return and market risk, which is
Visualizing Data in the Tidyverse
This course focuses on the importance of data visualization in data science projects. It covers the basics of data visualization
Modeling Data in the Tidyverse
This course explores various data analysis questions and modeling techniques, including hypothesis testing, linear regression, nonlinear modeling, and machine learning.
Importing Data in the Tidyverse
This course tackles the challenging task of importing and harmonizing data for statistical analysis in R. You'll learn
Wrangling Data in the Tidyverse
This course focuses on transforming non-tidy data into tidy data using Tidyverse functions, which are essential for effective data analysis.
Introduction to the Tidyverse
This course introduces the Tidyverse, a tool that revolutionizes data science workflows. You'll learn about "tidy data,
Bayesian Statistics
This course covers Bayesian statistics, focusing on updating inferences about parameters or hypotheses as evidence accumulates. You'll learn
Building R Packages
This course focuses on the vital aspect of organizing and distributing R software effectively for maximum usefulness and reusability in
Introduction to Neurohacking In R
The Neurohacking course teaches how to use the R programming language to manipulate, process, and analyze neuroimaging data, specifically publicly
MITx: Introduction to Computational Thinking and Data Science
This course is designed for students with prior programming experience in Python and basic knowledge of computational complexity. It involves
The Data Scientist’s Toolbox
This course introduces the essential tools and concepts used by data scientists and data analysts. You'll learn to
Packet Switching Networks and Algorithms
This course explores key concepts of packet-switching networks from two perspectives. First, it examines the external view, focusing on the
The Bits and Bytes of Computer Networking
This course provides a thorough overview of computer networking, covering the essentials of modern networking technologies and protocols. Students will
Intel® Network Academy - Network Transformation 101
Join the Intel® Network Academy for a comprehensive training program on network transformation. Learn about Software Defined Infrastructure (SDI), Network
Networking for Web Developers
The course provides a clear and concise exploration of Internet fundamentals. It begins with basic network tools like ping and
Introduction to Cloud Networking Solutions
This course introduces the basics of virtual networks, focusing on underlays, overlays, and tunneling protocols like VXLAN. Students will explore
Juniper Networks Security Concepts and Initial Configuration
This course provides an introduction to Juniper's basic network security design concepts. It covers the Junos operating system
Aruba SD WAN Basics
The Aruba SD-WAN Basics course introduces the Wide Area Network (WAN) concept and how software-defined WAN (SD-WAN) addresses modern IT
Networks and Communications Security
This program delves into network structures, data transmission methods, and essential security measures to safeguard information integrity and confidentiality. Participants
Network Security & Database Vulnerabilities
This course will comprehensively understand essential network basics, including TCP/IP and OSI Models. You'll also explore concepts
IoT Communications and Networks
This course teaches you essential skills for efficient communication and data management in IoT (Internet of Things) environments. You'
IoT Networking
This course builds on the foundational knowledge from the first two courses in the series: IoT Devices and IoT Communications.
Network Function Virtualization
This course explores Network Function Virtualization (NFV) from a systems engineer's perspective. It begins by examining the increasing
Software Defined Networking
This course introduces data center networking technologies, focusing on software-defined networking (SDN). It covers the history of SDN, the structure
Information Extraction from Free Text Data in Health
This course teaches advanced machine learning and NLP techniques to analyze unstructured healthcare text documents. You will identify text-mining approaches
Intel® Network Academy - Network Transformation 102
This training program is focused on network transformation. It covers key areas such as software-defined infrastructure (SDI), network functions virtualization
Fundamentals of Network Communication
This course explores the evolution of networks and introduces key concepts and functions essential to layered architecture. It covers familiar
Computer Science: Algorithms, Theory, and Machines
This course introduces computer science to those familiar with Java programming, covering the second half of "Computer Science: An
GTx: Data Structures & Algorithms I: ArrayLists, LinkedLists, Stacks and Queues
This course provides an in-depth understanding of data storage principles using Arrays, Array Lists, and linked list nodes. Through visualizations,
AutoML for Computer Vision with Microsoft Custom Vision
In this hands-on project, you'll learn how to train a computer to recognize images of dogs and cats
Secure Networked System with Firewall and IDS
In this MOOC, you will learn how to secure network systems using firewalls and intrusion detection systems (IDS). The course
CurtinX: IoT Networks and Protocols
This course provides an in-depth look at IoT networks, protocols, and standards. You'll learn how the IoT functions,
CurtinX: Introduction to Software Defined Networking
This course dives into Software Defined Networking (SDN) for IoT applications, which is essential for networking professionals amidst the rapid
CurtinX: Software Defined Networking (SDN) Deployment
This course aims to enhance your skills in network automation, preparing them for industry demands. It focuses on SDN deployment,
CurtinX: Software Defined Networking (SDN) Access Security
This course focuses on how Software Defined Networking (SDN) can address security and privacy issues in modern enterprise and data
Software Defined Networking
In this course, you will explore Software Defined Networking (SDN) and its significant impact on the management, maintenance, and security
Networking in Google Cloud: Defining and Implementing Networks
This self-paced training course provides a study of networking options on Google Cloud. Participants will learn to configure Google VPC
Computer Vision for Engineering and Science Specialization
In this specialization, you'll develop essential computer vision skills required in today's job market. You will
Advanced Computer Vision and Deep Learning
This course helps you to apply deep learning architectures to computer vision tasks. You'll learn to combine CNN
Introduction to Computer Vision with TensorFlow
In this project, you'll learn to set up the development environment in an IDE, design, compile, train, and
PurdueX: Computer Vision for Embedded Systems
This course offers an overview of implementing computer vision using OpenCV and PyTorch on embedded systems like Raspberry Pi and
StanfordOnline: Algorithms: Design and Analysis, Part 1
This specialization introduces algorithms to learners with some programming experience, focusing on conceptual understanding over detailed implementation and mathematics. By
Data Structures
In this online course, you will explore common data structures used in various computational problems, learn their implementation in different
Discrete Optimization
This course teaches you how to tackle complex search problems using discrete optimization concepts and algorithms, including constraint programming, local
Algorithmic Thinking (Part 2)
This two-part course trains students in the mathematical concepts and processes of "Algorithmic Thinking," enabling them to develop
Algorithmic Thinking (Part 1)
This two-part course is designed for experienced computer scientists to build on the principles learned in the "Principles of
Shortest Paths Revisited, NP-Complete Problems and What To Do About Them
This course consists of four modules, focusing on key topics in algorithms and data structures. You'll explore shortest-path
Greedy Algorithms, Minimum Spanning Trees, and Dynamic Programming
This course covers essential topics in greedy algorithms and dynamic programming. You'll explore greedy algorithms for tasks such
Algorithmic Toolbox
This online course covers fundamental algorithmic techniques such as sorting and searching, divide and conquer greedy algorithms, and dynamic programming.
Principles of Computing (Part 1)
This two-part course builds on the programming skills from our Introduction to Interactive Programming in Python course, enhancing them with
GTx: Computing in Python III: Data Structures
This course advances your Python skills by teaching you how to handle more complex data structures, such as strings, lists,
IsraelX: Bayesian Algorithms for Self-Driving Cars
It is an advanced computer science course designed to teach the essential localization algorithms used in modern autonomous vehicles. This
Graph Search, Shortest Paths, and Data Structures
This part of Algorithms Specialization focuses on essential topics in data structures and graph primitives. You'll study data
Algorithms, Part II
This course provides essential knowledge on algorithms and data structures, focusing on their applications and the scientific performance analysis of
Algorithms, Part I
This course provides essential knowledge on algorithms and data structures, focusing on applications and scientific performance analysis using Java implementations.
Sequence Models
In this fifth course of the Deep Learning Specialization, you will explore sequence models and their applications, including speech recognition,
Divide and Conquer, Sorting and Searching, and Randomized Algorithms
This course is part of the Algorithms Specialization. It covers key topics such as asymptotic notation, sorting and searching, divide
Introduction to Computer Vision
In this first course of the Computer Vision for Engineering and Science specialization, you'll be introduced to computer
Object Tracking and Motion Detection with Computer Vision
In this third and final course of the Computer Vision for Engineering and Science specialization, you will learn to track
Computer Vision in Microsoft Azure
In this course, you'll learn to use Microsoft Azure's Computer Vision cognitive service to analyze images
Deep Learning Applications for Computer Vision
This course will teach you about Computer Vision, exploring various tasks and approaches from classic algorithmic and modern deep learning
Computational Vision
In this course, we delve into vision as a cognitive problem and examine models that address various vision tasks, exploring
JSON and Natural Language Processing in PostgreSQL
This course consists of four modules focusing on PostgreSQL's use of inverted indexes for JSON and natural language
Natural Language Processing with Sequence Models
This course, part of the Natural Language Processing Specialization, includes three modules focused on practical NLP applications. You'll
Natural Language Processing with Attention Models
Course 4 of the Natural Language Processing (NLP) Specialization focuses on advanced NLP applications. You'll learn to translate
Natural Language Processing on Google Cloud
This course introduces the products and solutions available for solving NLP problems on Google Cloud, emphasizing the development of NLP
Advanced Deep Learning Methods for Healthcare
This course covers deep learning (DL) methods and their applications in healthcare. It includes video lectures, self-guided programming labs, homework
MichiganX: JSON and Natural Language Processing in PostgreSQL
In this third installment of "PostgreSQL for Everybody," participants delve into how PostgreSQL handles JSON and natural language
Deep Learning
This Nanodegree program provides foundational training in deep learning, the core technology behind modern artificial intelligence. It covers deep learning
Computer Vision with Embedded Machine Learning
This course delves into the field of computer vision (CV), teaching you how to automate the interpretation of digital images
The Complete Python Developer
This course provides hands-on experience with over 12 diverse projects covering Web Development, Machine Learning, and more. You'll
Learn Python Programming Masterclass
In this course, you'll gain a fundamental understanding of the Python programming language. You'll develop the
IBM: Machine Learning with Python: A Practical Introduction
This Machine Learning with Python course introduces the basics of machine learning using Python. You'll learn about supervised
IBM: PyTorch Basics for Machine Learning
This course is the first part of a two-part series on PyTorch fundamentals. You'll learn to implement classic
MichiganX: Python Data Structures
This course introduces Python's core data structures, moving beyond basic procedural programming. You'll learn to use
HarvardX: CS50's Introduction to Programming with Python
This course offers to teach about programming using Python, a versatile language ideal for general-purpose programming, data science, web development,
AWS: Building Modern Python Applications on AWS
In this course, you will learn to build an API-driven application using Amazon API Gateway for serverless API hosting, AWS
IBM: Visualizing Data with Python
In this course, you'll discover the art of data visualization, using software tools to transform data into compelling
Cisco CCNA Packet Tracer Ultimate labs: CCNA 200-301 labs
This course is designed to prepare you for the CCNA exam, specifically the CCNA 200-301. You'll learn everything
RaspberryPiFoundation: Teach teens computing: Object-oriented Programming in Python
This online course introduces Python's object-oriented programming (OOP) principles, focusing on creating objects, functions, methods, and classes. Through
GTx: Computing in Python II: Control Structures
In this course, you'll dive deeper into programming, focusing on control structures in Python. Five chapters will teach
Natural Language Processing with Deep Learning
The course covers key topics such as word representation and syntactic processing, helping you design advanced deep-learning models. Using the
Supervised Machine Learning: Regression and Classification
In this course, you will learn to build machine-learning models in Python. You will develop and train supervised machine learning
Mathematics for Machine Learning Specialization
This three-course specialization from Imperial College London strengthens your understanding of the mathematics behind Machine Learning and Data Science. The
Machine Learning Specialization
Enroll in the foundational Machine Learning Specialization, an exceptional online program by DeepLearning.AI and Stanford Online. Led by AI
![Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2024]](/content/images/size/w600/format/webp/2024/05/Screenshot-2024-05-22-071431-18.png)
Machine Learning A-Z™: AI, Python & R + ChatGPT Bonus [2024]
This course will help you specialize in Machine Learning using Python and R. You will develop a strong intuition for
Machine Learning for Absolute Beginners - Level 1
This course introduces Artificial Intelligence (AI), Machine Learning, and Deep Learning. You will delve into the distinctions between applied and
Python Mega Course: Learn Python in 60 Days, Build 20 Apps
Discover Python from beginner to advanced levels with real-world examples that can transform your career. Learn to develop industry-ready Python
Automate the Boring Stuff with Python Programming
In this extensive Python course, you'll master automating tasks, recognizing text patterns, manipulating Excel spreadsheets, parsing digital documents,
Python for beginners
This course covers mastering Python language features from basics to advanced concepts. You'll learn to install Python Virtual
UCSanDiegoX: Python for Data Science
This course is your gateway to mastering powerful Python tools like Pandas, Git, and Matplotlib. Dive into data manipulation, analysis,
Natural Language Processing Specialization
In this Specialization, you'll master interpreting and manipulating human language using cutting-edge algorithms. With NLP, you'll
Linear Regression and Modeling
In this course, you'll delve into simple and multiple linear regression models, enabling you to analyze the connection
Programming for Data Science with R
This program offers valuable programming tools and languages used in data science, including R, SQL, command line, and git. You&
Inferential Statistics
In this course, you will explore statistical inference methods for numerical and categorical data. Learn to conduct hypothesis tests, interpret
Introduction to Probability and Data with R
This course introduces data sampling, probability theory, and Bayes' rule. You will learn about different sampling methods and how
R Programming A-Z™: R For Data Science With Real Exercises!
This R Programming course offers a step-by-step learning experience, making it perfect for all skill levels. Through live examples, you&
Robotics: Perception
In this course, you'll learn how robots perceive their surroundings and movements through images and videos from mounted
Robotics: Estimation and Learning
In this course, you'll explore how robots use noise sensor data to estimate their state and understand the
Robotics: Capstone
In the final course of this specialization, you'll tackle real-world problems using skills from your specialization. Choose between
Robotics: Mobility
In this course, you will discover how robots navigate unstructured environments using motors and sensors and acquire the skills necessary
Data Science Foundations: Statistical Inference Specialization
This program offers a comprehensive introduction to probability theory and fundamental statistics, providing a strong foundation for further study. Participants
edX: Try It: Intro to Python
This free introductory course is perfect for those without programming experience and showcases how Python can enhance your career. You
Codio: Python Programming: Basic Skills
Experience hands-on Python coding without any installations! This course is beginner-friendly and provides a solid foundation in Python, Computer Science,
GTx: Computing in Python IV: Objects & Algorithms
This free introductory course on Python programming is designed for beginners without prior experience. It emphasizes Python's readability
HarvardX: CS50's Introduction to Programming with Python
This course teaches how to program using Python, suitable for beginners and those with some experience. You will learn to
MITx: Introduction to Computer Science and Programming Using Python
The following text should be remembered: This is the initial of two classes: Introduction to CS and Programming Using Python
HarvardX: Introduction to Data Science with Python
This course is centered on using Python for data science, providing a foundational understanding of machine learning (ML) models and
HarvardX: Using Python for Research
Dive into Python programming and take your skills to new heights as you learn to leverage Python 3 for research
The Python Bible™ | Everything You Need to Program in Python
In this course, you'll master Python programming from the ground up. You'll gain essential Python skills
Learn SQL Basics for Data Science Specialization
This Specialization is designed for beginners who need coding experience and want to learn SQL query fluency. The course covers
Google Advanced Data Analytics Professional Certificate
Explore the roles of data professionals in organizations. Make data visualizations and apply statistical techniques to investigate data. Create regression
Executive Data Science Specialization
You will effectively learn how to lead a data science team through four courses. You will get a complete understanding
Artificial Intelligence and legal issues
In this course, you will use AI, which requires analysis from a legal perspective. This course includes understanding liability for
Artificial Intelligence: An Overview
The course offers a layman's overview of artificial intelligence (AI). It begins by discussing the origins of AI,
AI in Healthcare Capstone
This capstone course guides you through all the concepts you have covered in the different classes up until now. Standford
Artificial Intelligence for Breast Cancer Detection
This course aims to teach students about artificial intelligence (AI) processing approaches to breast cancer detection. You will take quizzes
Robotics: Aerial Robotics
This course will teach you how to design agile micro aerial vehicles that operate autonomously indoors and outdoors. You will
Robotics Software Engineer
In this course, you will master essential robotics skills such as Localization, Mapping, SLAM, Path Planning, and Navigation. Utilize C+
Deep Learning: Advanced Computer Vision (GANs, SSD, +More!)
Hold on to your neural networks because things are about to get seriously exciting! In this latest update, we'
Learn Python for Total Beginners
This comprehensive course will take beginners from novice to proficient in Python programming in a day. With a focus on
Learn Python 3
If you're searching for a programming language that combines versatility and readability, look no further than Python 3.
Python for Computer Vision with OpenCV and Deep Learning
Get ready for the ultimate Python for Computer Vision online course! Dive into the captivating world of image and video
Python for Data Science and Machine Learning Bootcamp
You will learn about Python for data analysis, visualization, and machine learning. This comprehensive course is suitable for beginners and
The Complete Python Bootcamp From Zero to Hero in Python
This comprehensive course is designed to take you from beginner to professional in Python programming. Starting from the basics, you&
Applied AI with DeepLearning
The "Applied Artificial Intelligence with Deep Learning" course is part of the IBM Advanced Data Science Certificate. It
Deep Learning and Computer Vision A-Z + AI & ChatGPT Prizes
You'll witness the power of AI and Deep Learning, but now it's time to ask yourself:
Crash Course on Python
This beginner-friendly course teaches you Python programming from scratch. You will learn to write simple programs, understand programming concepts, and
Robotics: Computational Motion Planning
In this course, you will explore the three components of robotic systems: mechanism, perception, and decision/control. You will delve
Introduction to Machine Learning for Data Science
You will learn how to master the features of the Python language, Install the Python Virtual Machine and the Eclipse
Autonomous Cars: Deep Learning and Computer Vision in Python
In this course, you will learn how to automatically detect lane markings in images, detect cars and pedestrians using a
Web Application Technologies and Django
This course will delve into the structure of web applications, the Hypertext Transfer Protocol (HTTP) request/response cycle, Hypertext Markup
Computer Vision
Dive into the exciting world of cutting-edge computer vision and deep learning! This course will take you from image processing
First Principles of Computer Vision Specialization
Start on an exciting journey into the world of computer vision! This course is your gateway to mastering the foundations
Advanced Computer Vision with TensorFlow
Master image classification, object detection, and segmentation are part of this exciting course! Customize models, build your own, and detect
Introduction to Computer Vision and Image Processing
In this beginner-friendly course, you will learn the basics of computer vision. You will learn to utilize Python, Pillow, and
Building Generative Adversarial Networks
This course familiarizes students with generative adversarial networks (GANs) and teaches them to build and train various GAN architectures for
Getting Started with Generative AI API Specialization
This course teaches you to generate text for building ChatBots, generate and manipulate images, and interact with the ChatGPT API.
Generative Adversarial Networks (GANs) Specialization
This course will teach you to understand and build various GANs using PyTorch, including basic GANs and advanced DCGANs. You&
Generative Deep Learning with TensorFlow
The "Generative Deep Learning with TensorFlow" course covers various topics and techniques in generative deep learning using TensorFlow.
Clinical Natural Language Processing
You will be taught how to identify and differentiate between the levels of complexity and advancement in text mining, text
Natural Language Processing in TensorFlow
The information highlights the importance of understanding tools for building scalable AI-powered algorithms as a software developer. It introduces a
Fundamentals of Machine Learning for Healthcare
The revolutionary power of machine learning (ML) and artificial intelligence (AI) in healthcare is immense. Still, its full potential can
Machine Learning Foundations: A Case Study Approach
This course covers the fundamental machine learning concepts and how to use them to solve real-world problems. You will learn
Machine Learning With Big Data
This course will teach you how to use machine-learning techniques to explore, analyze, and leverage data. You will learn how
Machine Learning: Regression
This course will teach you how to build a regression model to predict house prices. You will learn about the
AI Fundamentals for Non-Data Scientists
This course will teach you how to use machine learning to handle and interpret big data. You will learn about
Machine Learning Foundations for Product Managers
In the first course of Duke University's AI Product Management Specialization, you will gain a foundational understanding of
Machine Learning for Computer Vision
This course will teach you how to classify images and detect objects using machine learning. To do this, you will
Intro to TensorFlow for Deep Learning
This course, developed by the TensorFlow team in collaboration with Udacity, provides practical training on building deep learning applications using
MITx: Machine Learning with Python: from Linear Models to Deep Learning
This course will be introducing you to machine learning (ML) principles and algorithms, which have widespread applications across various engineering,
Introduction to Deep Learning
This course provides an in-depth introduction to Deep Learning, a powerful technique widely used in various applications such as natural
Deep Learning and Reinforcement Learning
This course introduces two highly sought-after disciplines in Machine Learning: Deep Learning and Reinforcement Learning. Deep Learning, a part of
AI For Everyone
This course empowers individuals and organizations to understand and utilize AI effectively, regardless of technical background. You will be learning
Computer Vision Basics
This course equips learners with a comprehensive understanding of computer vision, including core concepts, human vision, and key applications. We
Principles of Computing (Part 2)
Part 2 of this course will explore programming concepts like recursion, assertions, and invariants. The mathematical component will cover searching,
Principles of Computing (Part 1)
This two-part course builds on Python programming skills and introduces problem-solving techniques. Through weekly mini-projects, you will develop computational problem-solving
An Introduction to Interactive Programming in Python (Part 2)
Part 2 of this course expands programming knowledge into lists, dictionaries, and loops to create games such as Blackjack and
Begin Robotics
Explore robot design, control, and behavior without prior expertise. You will use simulations to design and command an ERIC, our
Artificial Intelligence for Robotics
Master the programming of robotic car systems with expertise from Google and Stanford's autonomous driving teams. Explore artificial
Data Visualization Capstone
This is part 5 of 5 in the Data Visualization & Dash boarding with R Specialization. For the capstone project,
Publishing Visualizations in R with Shiny and flexdashboard
This course focuses on building interactive visualizations using Shiny and creating interactive dashboards by combining various R figures. You will
Advanced Data Visualization with R
In this course, you will find a wide range of data visualization options beyond ggplot2. By utilizing additional packages, you
Data Visualization in R with ggplot2
This course emphasizes using ggplot2 for creating diverse visualizations and refining them using ggplot tools and vector graphics editing software.
Getting Started with Data Visualization in R
Data visualization is essential in modern work, and R is a strong tool for this purpose, especially when combined with
Data Analysis with R
This course guides you through the process of Data analysis with R. You'll learn techniques for data preparation,
Introduction to R Programming for Data Science
Learn the basics of R language for data analysis in the field of data science. You will acquire skills in
HarvardX: Statistics and R
Learn R programming for statistical data and analysis in the life sciences. This course will teach you basic statistical inference
Modern Robotics, Course 6: Capstone Project, Mobile Manipulation
The capstone project focuses on mobile manipulation, integrating trajectory planning, odometry, and feedback control. You will use the provided Modern
Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots
This course will explore advanced robotics topics including grasping, manipulation, and wheeled mobile robots through covering chapters 12-13 of the
Modern Robotics, Course 4: Robot Motion Planning and Control
In this course, you will master robot motion planning and control by learning about obstacle avoidance, real-time feedback control, and
Modern Robotics, Course 3: Robot Dynamics
This course will teach you about powerful numerical algorithms in order to tackle forward and inverse dynamics, enabling you to
Modern Robotics, Course 2: Robot Kinematics
This course focuses on robot kinematics and will build upon the principles covered in the previous course. We will examine
Modern Robotics, Course 1: Foundations of Robot Motion
The specialization course contains six courses designed for individuals passionate about understanding the inner workings of robots and pursuing a
Using JavaScript and JSON in Django
This final course will delve into JavaScript's Object-Oriented pattern and its unique characteristics. You will be introduced to
Django Features and Libraries
This course teaches you how to build user-friendly Django web applications, covering cookies, sessions, authentication, navigation, and enhancing the application&
Building Web Applications in Django
In this course, you will discover how Django interacts with databases using model objects and Object-Relational Mapping (ORM). You will
R Programming
This course teaches programming in R for data analysis and how to install and configure the necessary software. We will
Collaborative Robot Safety: Design & Deployment
This course focuses on enhancing the safety of personnel working with collaborative robots (cobots). It covers safety assessments, industry standards,
An Introduction to Interactive Programming in Python (Part 1)
This two-part course is designed for beginners. It teaches the fundamentals of creating interactive applications using Python. This user-friendly browser-based
Capstone: Retrieving, Processing, and Visualizing Data with Python
In the capstone course, students will utilize Python to retrieve, process, and visualize data, incorporating all specialization elements. They will
Using Databases with Python
This course will explore databases and data processing with Structured Query Language (SQL), using SQLite3 as our database. It will
Using Python to Access Web Data
This course will show you how to unleash the power of the internet as a vast data source. You will
Python Data Structures
In this course, you will be introduced to the foundational data structures of Python 3. You will transcend procedural programming
Build Basic Generative Adversarial Networks (GANs)
This course offers an exciting and interesting learning experience for GANs. Understand the fundamentals, explore various architectures, and build conditional
Apply Generative Adversarial Networks (GANs)
Learn about the applications of GANs, image-to-image translation, and implementing Pix2Pix and CycleGAN models. The GANs Specialization covers foundational concepts,
Natural Language Processing with Classification and Vector Spaces
Course 1 of the Natural Language Processing Specialization offers a comprehensive learning experience in various NLP techniques and applications. * Perform
Natural Language Processing with Probabilistic Models
In this Natural Language Processing (NLP) course, you will learn how to create a simple auto-correct algorithm using minimum edit
Practical Machine Learning
Data scientists and data analysts often engage in prediction and machine learning as part of their routine tasks. In this
Intro to Machine Learning
Machine Learning is an essential pathway to the most exciting opportunities in today's data analysis careers. By merging
Programming for Everybody (Getting Started with Python)
This course will focus on the fundamentals of constructing programs through step-by-step instructions with Python 3. No advanced math or
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Top Blockchain Courses: From Beginner to Expert
Blockchain technology is a transformative force across various industries. It offers a shared, immutable ledger that revolutionizes how transactions and
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