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IBM Project Manager Certificate: My Student Review

Rebel’s Guide to PM

I did the peer assignments, graded quizzes and watched the video training (although not all of it – more on that later). If you do know that particular topic, you can skip through the videos on fast speed or move directly to the quizzes. The materials include: Training videos – you can control the playback speed, hurrah!

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Is the IBM IT Project Manager Certificate worth it?

Rebel’s Guide to PM

I completed the quizzes and worked through the training videos. If you do know that particular topic, you can skip through the videos on fast speed or move directly to the quizzes. They include readings, demos, glossaries and video training. The video pops out when you scroll down the page.

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Generative AI and Project Management in 2024: Three Themes to Watch

MPUG

Increasingly, all enterprises are becoming software-led, which is changing the traditional project management lifecycle into the continuous iterative loop that modern software teams have employed for decades. GitHub’s Copilot helps software engineers generate deployable code.

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What is a technical project manager? (And why you should think about becoming one)

Planio

Technical project managers have a unique insight into how products get built that allows them to collaborate better with development teams, identify technical risks or inefficiencies, and make smarter decisions about how new features will work (or not) within your product roadmap. How software systems are architected.

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The Agile Feature-driven Development Methodology

The Strategic Project Manager

Feature Driven Development (FDD) is an agile methodology specifically applied to software development. The following video by David McLachlan nicely captures these concepts of FDD in the following video: Feature-driven Development (FDD) Best Practices. FDD best practices are derived from good software engineering practices.

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12 Must-Have Skills for a Data Analyst You Should Test

Teamweek

A data scientist uses a combination of data analysis, machine learning and software engineering to create statistical models that solve more strategic business problems , such as anti-churn measures or workflow automation. Basically, the data analyst uses their technical knowledge and specialized software to solve business problems.

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Creating a Positive Workplace: Strategies for Building Trust & Respect

Proofhub

For example, a software engineer may be passionate about artificial intelligence and machine learning. Using collaboration tools to streamline communication and foster teamwork, such as project management software , Kanban boards, instant messaging platforms, and video conferencing tools. Take a look!”