Rebel’s Guide to PM
MAY 31, 2023
Note: The IBM IT Project Manager Professional Certificate opens for enrolment on 30 June 2023. This course is new (it launched in June 2023) and it could turn out to be one of the most popular project management certifications for beginners on the market. Are you considering the IBM IT Project Manager Professional Certificate ?
Rebel’s Guide to PM
SEPTEMBER 1, 2023
This course is new (it launched in June 2023). I thought it was really good and it could turn out to be in the top bunch of popular online project management certifications for beginners on the market. If you are aiming for an IT job, you’d be better off taking that course.
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NimbleWork
JANUARY 2, 2025
In 2023, he launched the Customer Agility Framework, integrating AI and UX research to transform customer requirements into actionable strategies. He has served as an Executive Consultant at ThoughtWorks, co-founded the Agile Project Leadership Network, and authored six influential books, including Wild West to Agile (2023).
Scrum.org
FEBRUARY 4, 2024
There are thousands of meetups worldwide covering the topics of agile frameworks and practices, software engineering, and product development in general. The Scrum Master Salary Report 2023. Since the pandemic, many Meetup groups switched to virtual events, attracting more members from outside their original reach.
MPUG
MAY 29, 2023
The chances that you’ll encounter Jira if you manage projects that involve software engineers are high. This software allows you to carefully curate your project plans in a way that makes logical sense for engineers, QA teams, product teams, and project managers. RSVP today !
Workzone
JANUARY 18, 2023
It’s specifically built for technicl creatives—such as game developers, UX designers and software engineers. Favro Gamers or rather game developers, you may want to check out Favro. Their Kanban board stretches horizontally across to help you visualize what’s next in the product development cycle. Pricing: $6.80-$12.75/month
Teamweek
AUGUST 1, 2023
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. They typically use tools like Python and SQL.
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