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Our Courses
Data Analysis and Visualization with Python
In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries. As a developer, it's important to understand how to deal with issues that could cause an application to crash. You will learn how to implement exceptions to handle these issues. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python.
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Course by
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Self Paced
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16 hours
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English
Advanced Topics and Future Trends in Database Technologies
This course consists of four modules covering some of the more in-depth and advanced areas of database technologies, followed by a look at the future of database software and where the industry is heading. Advanced Topics and Future Trends in Database Technologies can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others.
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Course by
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Self Paced
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17 hours
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English
Java Object Basics: Functions, Recursion, and Objects
Code and run your first Java program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just Java, but core Computer Science topics that can be transferred to other languages. The modules in this course cover functions, recursion, objects, and mutability. Completion of the prior 2 courses in this specialization are recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free.
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Course by
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Self Paced
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9 hours
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English
Compose and Program Music in Python using Earsketch
By the end of this course, you will create a basic composition using the Python programming language in Earsketch. You will learn basic Python functions in order to create a basic music composition. Learning basic Python functions will allow you to develop your skills in programming and diversify your knowledge of various programming languages. Python has become increasingly popular in computer science; knowledge of Python is highly desired in the computer science industry.
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Course by
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Self Paced
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3 hours
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English
Introduction to Python
In today’s society, uses for new technologies are broadening in scope and revolutionizing the world. Many new technologies automate redundant tasks so people may complete tasks of greater priority. These new automated technologies depend on the constant innovation of software. To develop software that can increase our efficiency and change the world for the better, it is vital to understand how to code using different programming languages.
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Course by
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Self Paced
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3 hours
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English
Java Basics: Selection and Iteration
Code and run your first Java program in minutes without installing anything! This course is designed for learners with no coding experience, providing a solid foundation of not just Java, but core Computer Science topics that can be transferred to other languages. The modules in this course cover printing, operators, iteration (i.e., loops), and selection (i.e., conditionals). To allow for a truly hands-on, self-paced learning experience, this course is video-free.
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Course by
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Self Paced
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9 hours
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English
Object-Oriented Programming and GUI with Python
In this course we will implement object-oriented programming into Python programs; outline the importance of why and how we use object-oriented programming; and learn how to use inheritance when designing a program. We will also look at how to build a graphical user interface for a basic program. You do not need programming or computer science experience to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!
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Course by
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Self Paced
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11 hours
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English
Digital Signal Processing 4: Applications
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up.
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Course by
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Self Paced
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14 hours
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English
Dynamic Programming, Greedy Algorithms
This course covers basic algorithm design techniques such as divide and conquer, dynamic programming, and greedy algorithms. It concludes with a brief introduction to intractability (NP-completeness) and using linear/integer programming solvers for solving optimization problems. We will also cover some advanced topics in data structures. This course can be taken for academic credit as part of CU Boulder’s MS in Data Science or MS in Computer Science degrees offered on the Coursera platform.
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Course by
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Self Paced
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38 hours
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English
Fundamentals of Data Visualization
Data is everywhere. Charts, graphs, and other types of information visualizations help people to make sense of this data. This course explores the design, development, and evaluation of such information visualizations. By combining aspects of design, computer graphics, HCI, and data science, you will gain hands-on experience with creating visualizations, using exploratory tools, and architecting data narratives.
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Course by
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Self Paced
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15 hours
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English
Digital Signal Processing 2: Filtering
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up.
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Course by
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Self Paced
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18 hours
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English
Python Object Basics: Functions, Recursion, and Objects
Code and run your first python program in minutes without installing anything! This course is designed for learners with limited coding experience, providing a solid foundation of not just python, but core Computer Science topics that can be transferred to other languages. The modules in this course cover functions, recursion, objects, and mutability. Completion of the prior 2 courses in this specialization are recommended. To allow for a truly hands-on, self-paced learning experience, this course is video-free.
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Course by
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Self Paced
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11 hours
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English
Basic Robotic Behaviors and Odometry
"Basic Robotic Behaviors and Odometry" provides you with an introduction to autonomous mobile robots, including forward kinematics (“odometry”), basic sensors and actuators, and simple reactive behavior. This course is centered around exercises in the realistic, physics-based simulator, “Webots”, where you will experiment in a hands-on manner with simple reactive behaviors for collision avoidance and line following, state machines, and basic forward kinematics of non-holonomic systems.
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Course by
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Self Paced
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28 hours
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English
Capstone Project: Teaching Impacts of Technology
In this project-based course you’ll review the Advanced Placement Computer Science Principles course and exam description guide to prepare for the “Explore Task”, where students must research a recent computing innovation and and analyze its impacts on the world. You’ll also review the description of this task from the student perspective and complete the task yourself. Then you’ll assess sample secondary student work by following the APCSP scoring guidelines as well as provide feedback to a fellow learner on their submitted task and receive the same from fellow learners.
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Course by
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Self Paced
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7 hours
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English
Learn to Teach Java: Sequences, Primitive Types and Using Objects
Get started with the basics of Java, and prepare to teach others using the free, online interactive CS Awesome textbook. In this course for teachers we'll guide you both in learning Java concepts and skills but also in how to effectively teach those to your students. This course will support you in teaching the Advanced Placement Computer Science A course or a similar introductory university-level programming course. We'll begin with simple instruction sequences, primitive types, and using objects, as covered in the APCS A Units 1 and 2.
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Course by
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Self Paced
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13 hours
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English
Relational Database Design
Have you ever wanted to build a database but don't know where to start? This course will provide you a step-by-step guidance. We are going to start from a raw idea to an implementable relational database. Getting on the path, practicing the real-life mini cases, you will be confident and comfortable with Relational Database Design. Let's get started! Relational Database Design can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform.
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Course by
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Self Paced
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71 hours
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English
Digital Signal Processing 3: Analog vs Digital
Digital Signal Processing is the branch of engineering that, in the space of just a few decades, has enabled unprecedented levels of interpersonal communication and of on-demand entertainment. By reworking the principles of electronics, telecommunication and computer science into a unifying paradigm, DSP is a the heart of the digital revolution that brought us CDs, DVDs, MP3 players, mobile phones and countless other devices. The goal, for students of this course, will be to learn the fundamentals of Digital Signal Processing from the ground up.
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Course by
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Self Paced
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16 hours
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English
Getting Started with AI using IBM Watson
In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.
This course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.
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Course by
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Self Paced
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9 hours
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English
Linux: Introduction to Shell Scripting for DevOps
In this 1-hour long project-based course on Linux: Introduction to Shell Scripting for DevOps, you will be writing your own Bash/Shell scripts for scratch.You will be going through all of the key components that make up the bash script, from exit statuses, the test command, if/else statements, loops and file archiving.
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Course by
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Self Paced
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3 hours
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English
Introduction to Medical Software
In this class, we present a broad overview of the field of medical software. You will learn from Yale professors and a series of industry experts who connect the course concepts to their real world applications. We begin by discussing medical device regulatory structures, data privacy and cybersecurity regulations, and key support technologies such quality management systems and risk management.
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Course by
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Self Paced
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38 hours
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English
Fundamentals of Machine Learning in Finance
The course aims at helping students to be able to solve practical ML-amenable problems that they may encounter in real life that include: (1) understanding where the problem one faces lands on a general landscape of available ML methods, (2) understanding which particular ML approach(es) would be most appropriate for resolving the problem, and (3) ability to successfully implement a solution, and assess its performance.
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Course by
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Self Paced
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18 hours
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English
Robotic Path Planning and Task Execution
This course, which is the last and final course in the Introduction to Robotics with Webots specialization, will teach you basic approaches for planning robot trajectories and sequence their task execution. In "Robotic Path Planning and Task Execution", you will develop standard algorithms such as Breadth-First Search, Dijkstra's, A* and Rapidly Exploring Random Trees through guided exercises.
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Course by
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Self Paced
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39 hours
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English
Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital
In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space. The course starts by looking at how the human visual system works and then teaches you about the engineering, mathematics, and computer science that makes digital images work.
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Course by
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Self Paced
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21 hours
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English
Probability Theory: Foundation for Data Science
Understand the foundations of probability and its relationship to statistics and data science. We’ll learn what it means to calculate a probability, independent and dependent outcomes, and conditional events. We’ll study discrete and continuous random variables and see how this fits with data collection. We’ll end the course with Gaussian (normal) random variables and the Central Limit Theorem and understand its fundamental importance for all of statistics and data science. This course can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science
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Course by
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Self Paced
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48 hours
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English
Mathematics for Computer Science
“Welcome to Introduction to Numerical Mathematics. This is designed to give you part of the mathematical foundations needed to work in computer science in any of its strands, from business to visual digital arts, music, games. At any stage of the problem solving and modelling stage you will require numerical and computational tools. We get you started in binary and other number bases, some tools to make sense of sequences of numbers, how to represent space numerical using coordinates, how to study variations of quantities via functions and their graphs.
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Course by
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Self Paced
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38 hours
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English