In this course, you will be introduced to game development and prototyping for games. Courses 1-4 are highly recommended while Courses 5-7 create the foundational Unreal Engine project, assets and code used throughout this course. This course requires no previous experience and aimed at beginners.
This course explores 6 different game modes: Stealth Survival, Platformer, Capture the Flag, Action Combat, Crafting, and Story.
This course will include a pre-production phase where learners will break down the design of each mode using Obsidian. Understanding the core gameplay experience each mode is intended to design. This pre-production phase will not only outline gameplay features but also how you can reuse assets and code for quick prototyping. After pre-production, there is a module dedicated to creating each game mode. This will include game mode-specific code, design and iteration. By the end of this course you will package your project to be in a visually presentable format for your portfolio.
Learning how to debug is the most valuable skill to develop as you learn to program. This four-week course from the University of Michigan will help you improve your programming ability by providing you with the skills you need to understand and debug code.
What’s more, you’ll learn the crucial techniques to help minimize mistakes and problems in your code.
Most modern development environments contain a debugger, which you can use to find bugs and understand what is happening in your code. However, many people still rely on print statements when they debug.
This course will help you gain confidence in using debuggers, so you can spend less time seeking out and fixing bugs and focus on building exciting new programming projects. The majority of coding errors occur when the programmer doesn’t understand the code or makes mistakes with the language, resulting in bugs. In this course, you’ll gain the knowledge and skills needed to spot and solve semantic and syntax errors more easily. You’ll also streamline your coding process by learning to write and run unit tests to examine and check your code.
This course is designed for those interested in developing their Python skills or communicating with other programmers in a professional setting.
This project-based course challenges you to demonstrate your data science mastery through a comprehensive real-world project using TrendWave Media's dataset. Beginning with industry expert insights into professional workflows, you'll establish a structured analytical approach to media engagement data before applying your skills independently in a guided project.
The course combines authentic business context with technical application, allowing you to integrate and showcase the full spectrum of your Python data science capabilities. Through hands-on analysis and focused assessment, you'll experience the complete lifecycle of a data science project—from initial exploration to delivering actionable recommendations—creating tangible evidence of your ability to derive value from complex datasets in professional contexts.
Upon completion, you'll be able to:
• Apply Python data science techniques to extract meaningful insights from real-world media engagement data
• Implement professional data science workflows that follow industry best practices
• Develop a portfolio-ready project that demonstrates your ability to solve business problems through data analysis
• Demonstrate mastery of key data science concepts and techniques through comprehensive assessment
Description: This course focuses on automating tasks and improving efficiency using Python. You'll learn how to write scripts for file manipulation, data extraction, web scraping, and interacting with APIs.
Benefits: Automate repetitive tasks, streamline workflows, and increase productivity in various domains using Python scripting.
By the end of this course, you'll be able to:
• Write scripts to automate file operations and data extraction.
• Perform web scraping using BeautifulSoup and Scrapy.
• Interact with REST APIs using the requests library.
• Integrate with third-party services like email and cloud storage.
• Schedule automated tasks using cron jobs and Task Scheduler.
• Optimize and scale automation scripts for increased efficiency.
Tools/Software: Python, os, shutil, glob, BeautifulSoup, Scrapy, requests, smtplib, imaplib, cron, Task Scheduler
This course is for entry-Level professionals looking to build a foundational understanding and experience with Python, while seeking employment as a Python developer. No prior work experience or degree is required.
As technology progresses and becomes more interwoven with our businesses and lives, more and more data is collected about business and personal activities. This era of "big data" exploded due to the rise of cloud computing, which provides an abundance of computational power and storage, allowing organizations of all sorts to capture and store data. Leveraging that data effectively can provide timely insights and competitive advantage.
The creation of data-backed visualizations is a key way data scientists, or any professional, can explore, analyze, and report insights and trends from data. Tableau® software is designed for this purpose. Tableau was built to connect to a wide range of data sources and allows users to quickly create visualizations of connected data to gain insights, show trends, and create reports. Tableau's data connection capabilities and visualization features go far beyond those that can be found in spreadsheets, allowing users to create compelling and interactive worksheets, dashboards, and stories that bring data to life and turn data into thoughtful action.
This course is designed for professionals in a variety of job roles who are currently using desktop or web-based data-management tools to perform numerical or general data analysis. This includes capturing and reporting on data to peers, executives, and clients. These professionals must also provide data visualizations in reports or explain data analysis through visualizations.
This course is also designed for students who plan to obtain the Tableau Desktop Specialist certification, which requires candidates to pass the Tableau Desktop Specialist exam, or the Tableau Certified Data Analyst certification, which requires candidates to pass the Tableau Certified Data Analyst exam.
In this course, you will: identify basic Tableau capabilities; connect to and prepare data; explore data with views and visualizations; manage, sort, and group data; save, publish, and share data sources and workbooks; filter data in views; customize visualizations with annotations, highlights, and advanced features; create and enhance dashboards in Tableau; and create and enhance stories in Tableau.
This course requires that you have access to Tableau Desktop through a trial Tableau account. You should also have access to Microsoft Office, particularly Excel and PowerPoint. The course setup instructions provided in the first module of the course go into more detail about the hardware and software requirements.
In the final course from the Machine Learning for Trading specialization, you will be introduced to reinforcement learning (RL) and the benefits of using reinforcement learning in trading strategies. You will learn how RL has been integrated with neural networks and review LSTMs and how they can be applied to time series data. By the end of the course, you will be able to build trading strategies using reinforcement learning, differentiate between actor-based policies and value-based policies, and incorporate RL into a momentum trading strategy.
To be successful in this course, you should have advanced competency in Python programming and familiarity with pertinent libraries for machine learning, such as Scikit-Learn, StatsModels, and Pandas. Experience with SQL is recommended. You should have a background in statistics (expected values and standard deviation, Gaussian distributions, higher moments, probability, linear regressions) and foundational knowledge of financial markets (equities, bonds, derivatives, market structure, hedging).
CISA – Certified Information Systems Auditor Study Guide
This course provides a thorough guide to mastering IT auditing skills, preparing you for the CISA exam. The course covers key areas such as governance, systems development, and asset protection, essential for a successful career in information systems auditing.
You'll learn how to conduct audits according to global standards, improve IT processes and controls, and use data analytics to enhance audit effectiveness. This will help you gain the skills necessary for acing the CISA exam.
What sets this course apart is its balance of theory and practical insights. It not only helps you understand key concepts but also empowers you to apply them in real-world auditing scenarios.
This course is designed for IT auditors, security analysts, and risk managers, especially those from non-technical backgrounds who are aiming to advance in IT audit, governance, and security management.
Based on the book CISA – Certified Information Systems Auditor Study Guide, by Hemang Doshi.
Offers students an opportunity to obtain the insights, frameworks, and tools to effectively manage and develop talent in teams and organizations. Also explores promotion and cross-functional systems that strengthen the organization as well as retention strategies to promote and reward high-quality talent. Managing and developing talent is one of the top three issues on the minds of CEOs from around the world. In fact, CEOs cite managing and developing their leadership talent as the issue that is most important to the future success of their business but that their organizations are least capable of addressing effectively. Offers students an opportunity to engage in various activities intended to illustrate and practice the skills involved in implementing talent management systems.
This course is designed for telecommunications engineers interested in understanding how the applications of 5G network technology in industry, home life, and society at large. Learners will explore security challenges and breakthroughs that 5G technologies create as well as consider the next stages of 5G technology, namely 5G Advanced.
In this 2-hour long project-based course, you will learn the basics of using Keras with TensorFlow as its backend and use it to solve a basic image classification problem. By the end of this project, you will have created, trained, and evaluated a Neural Network model that will be able to predict digits from hand-written images with a high degree of accuracy. You also will have learned the fundamentals of neural networks, TensorFlow, and Keras.
Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.
Welcome to Introduction to JavaScript Programming, the first course in the JavaScript Starter Kit Professional Certificate program.
This course will introduce you to the fundamental concepts of programming using JavaScript, one of the world's most popular and versatile programming languages. By the end of this course, you will be able to:
- Write syntactically correct JavaScript code using professional development tools and best practices
- Implement core programming concepts including variables, data types, control flow, and error handling
- Design and create reusable functions and work with complex data structures like arrays and objects
- Apply software development best practices including code organization, documentation, and debugging techniques
- Build a complete text adventure game that demonstrates mastery of all JavaScript fundamentals
For the final project in this course, you will progressively develop a fully functional text adventure game that combines all course concepts into a portfolio-ready application. You'll create character systems, implement combat mechanics, build interactive story paths, and manage complex data relationships using JavaScript. Throughout the development process, you'll learn to organize code professionally, handle user input validation, and create engaging user experiences that demonstrate real-world programming skills.
This is a beginner-friendly course designed for learners who are new to programming. No prior programming experience is required. To succeed in this course, you should have basic computer literacy, comfort using a web browser, and enthusiasm for learning to code. The course uses an online development environment, so you can start coding immediately without any software installation requirements.
