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Scrum master certification: Top 13 certs for agile pros

CIO

The agile methodology, which facilitates collaboration between stakeholders, teams, and customers during software development, is fast gaining prominence in today’s enterprises. The Scrum master leads this process, providing guidance to the team and product owner and ensuring agile practices are followed by team members.

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Best business analyst certifications to level up your career

CIO

Top skills for business analysts include project management, data analysis, business analysis, user stories, and user acceptance, according to Zippia. Completion of the program will also earn you 35 IIBA and 25 Project Management Institute (PMI) professional development units. Amazon, Capgemini, and IBM. The exam is 3.5

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11 Must-Have Agile Tools for Software Teams

Apiumhub

Whether it’s software development or project management, leading an agile team is not an easy task at all. Things can anytime go haywire if you don’t have the right agile tools in your arsenal. Here are 11 must-have agile tools that help software teams to collaborate better: Agile Tools.

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Interesting facts about software development: statistics 2018

Apiumhub

In this part, you will also find the most popular programming languages and project management tools. And the last chapter focuses on performance management and code quality. After that comes prioritization and increasing the number of people working on the project. iOS Objective-C app: sucessful case study.

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Our book “Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture” is published!

Apiumhub

We are delighted to announce the release of our new book “ Software Architecture Metrics: Case Studies to Improve the Quality of Your Architecture ”. He began his professional career with a specific interest in object-oriented design issues, with deep studies in code-level and architectural-level design patterns and techniques.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Managing data science in the enterprise. Executive Briefing: Agile for Data Science teams. Case studies. Putting all these topics together into working ML products—data movement and storage, model building, ML lifecycle management, ethics and privacy—requires experience. "Machine Learning in the enterprise".

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CASE STUDY: Modernizing the user experience of first fully digital end-to-end lending platform for both borrowers and loan officers

Praxent

Ultimately, the Praxent team assumed leadership roles in design, engineering, and project management in order to guide the client to a successful product release. 4 teams integrated into the project. Project Management . Project Management. Six months from design to launch of MVP. How we Helped.