User:Isa.david/sandbox

Digital Readiness Self-Assessment	Specialized learning streams	Contact us	FR

Welcome Digital Readiness Self-Assessment Tool Welcome to the Exploration phase of the CSPS Digital Accelerator! We want you to get the most from your learning experience. Completing this Digital Readiness Self-Assessment will help you identify gaps in your knowledge of the Government of Canada Digital Standards and how they can be applied in your work. It will also help us direct you to relevant learning resources you can do at your own pace. The self-assessment focuses on five of the ten Digital Standards most closely aligned with the objectives of the CSPS Digital Accelerator. Future iterations will expand to include the remaining five Digital Standards and will incorporate changes based on user (your!) input. Take the Digital Readiness Self-Assessment Bridge your knowledge gaps We want you and your team to get the most out of the CSPS Digital Accelerator! Before you begin the Discovery phase, it is important to address any of the gaps identified through your Digital Readiness Self-Assessment. Select from the curated self-directed learning resources based on your overall and Digital Standard-specific scores. See recommended learning products We need your feedback! The CSPS Digital Academy is currently piloting the Digital Readiness Assessment tool. Your feedback on your experience is crucial to helping us improve and build upon it. Complete our short survey Specialized learning streams Learning boot camps on specialized topics will be offered during the Accelerator. You will be asked to select a stream that aligns with your interest, your role and your existing skills and knowledge. Here is what you can expect to learn in these streams: Data: How to conduct data analyses, visualize data and understand ethical considerations in the use of data. Design: Knowledge of design thinking, inclusive and accessible design, service design, content strategy, content design, information architecture, usability testing. AI/ML: Bayesian statistics and probability theory, Python pandas, natural language processing, coding. Development: Fundamentals of software development as applied to front-end applications and user interfaces. DevOps: Agile software development processes, open source projects and software, Python coding, cloud computing, Docker, security and test automation, web accessibility (a11Y) testing.