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Scrum Framework in Data Science Institutes in Bangalore

The agile data science process is a type of iterative approach or methodology to project management and software development that enables the team to deliver optimum customer value. Most companies use agile data science software development techniques for data science projects. Numerous data science aspirants are getting certified in data science boot camps or online certification courses with scrum frameworks in Bangalore to get placed in prestigious companies. 

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What is Scrum?

Scrum framework works well for complex and innovative data science product development projects. However, before jumping into the advantages and disadvantages of this popular framework, it is essential to understand what Scrum is and why you should become a certified ScrumMaster by undergoing a certification training course in Bangalore. 

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The Scrum framework course in Bangalore data science institutions aims to help newcomers and aspiring data science professionals convert themselves into valuable and agile data analytics team members. Scrum project management is a technique that focuses on incremental and iterative product delivery via a collaborative decision-making process and constant feedback approach. 

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How does a scrum framework work?

Scrum framework refers to the top three roles played by product owners, ScrumMaster, and Scrum team in a product development project:

  1. Product owners must develop a wishlist of tasks or a product backlog that must be prioritized in the data science project.
  2. The Scrum team conducts a sprint planning session. All the tasks required to complete the items on the wishlist are segregated into small and master manageable tasks.
  3. The Scrum team develops a Sprint backlog and even plans about how to implement the Sprint backlog. They have to decide a time duration for each Sprint. 
  4. The Scrum team holds a Scrum meeting where every member shares the updates daily and will help the project manager and the team assess the project’s continuity or progress. 

The primary function of the certified ScrumMaster is to keep the team motivated and focused and give adequate guidance. Finally, the product owner and the stakeholders conduct a proper review at the end of every sprint. This is how the overall Scrum framework works.

Application of scrum framework in project management

Scrum methodology covers a small team under the guidance of a ScrumMaster who is responsible for eliminating all the obstacles and challenges and ensuring the completion of tasks in the right and timely manner. The Scrum team holds regular daily meetings to discuss how the obstacles and allotted work can be handled appropriately. With the help of Scrum project management, the team can ensure quick testing, rapid development, and effective management of the data science project, even with a small team. Many companies deploy Scrum project management techniques through ceremonies or meetings. Scrum meetings or ceremonies include the following steps. 

  • Sprint planning meeting 

The product owner, the Scrum team, and the Scrum master will collaborate in a Sprint planning meeting that will be held on the first day of every Sprint. Here the product owner will share all the features and characteristics that should be finished in the sprint, and the team will determine all the required tasks. Finally, the Scrum team will review the workload to understand if all the features have been completed in the Sprint. 

  • Tracking Progress

After the Sprint planning meeting, the team will track the progress in the Scrum project management by using burndown charts or task boards. Task boards represent all the required activities for every feature and include columns labeled as ‘Doing,’ ‘Done,’ or ‘To Do.’ Burn-down charts help the team see the amount of work left using trend lines. Regulars meetings are held to enable the team to discuss the completed tasks for many obstacles that they are facing or the tasks that they are planning to do for that particular day.

  • Sprint Review

On completion of the sprint, the scrum team will conduct a Sprint review meeting for the Stakeholders to provide a review or feedback on the tasks. If necessary, the product owner will incorporate and document the feedback and reviews into a product backlog. After getting feedback from the stakeholders, the team will conduct a retrospective meeting in the absence of the stakeholders to determine their progress, performance, and areas of improvement. 

  • Release Planning

An integral component of Scrum project management is release planning which enables long-term planning over different sprints. During the time of the release planning meeting, the product owner will represent all the desired features that have to be completed by the team for the quarter. The team will also provide a rough estimation of the physical features that can be completed for every Sprint and the total features that will be completed by the end of the quarter. 

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Benefits of using Scrum Framework 

Scrum framework is a prevalent framework today used by data science professionals and data analytics professionals in increased numbers for the following reasons.

  1. Scrum framework enables the data science team to complete their projects and daily work results efficiently and quickly.
  2. Scrum framework ensures optimum use of money and time. 
  3. It enables the team to complete the project’s daily variables efficiently and quickly.
  4. Scrum works well for rapidly moving data science development projects.
  5. Developments can be coded as well as tested at the time of Sprint review using the Scrum framework. 
  6. Large and complex projects can be categorized into easily manageable and small sprints.
  7. Scrum is an agile data science technique that adopts feedback from stakeholders and customers to provide the desired results.
  8. The team holds Scrum meetings to get crystal clear visibility of the progress of the project and how to handle the obstacles efficiently.
  9. Short sprints help quickly bring in changes based on feedback from stakeholders and customers.
  10. The personalized effort put in by each Scrum team member becomes visible at the time of Scrum meetings.

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Why undergo data science training with Scrum framework in Bangalore?

You can become a certified ScrumMaster by undergoing a data science course with a Scrum framework in Bangalore. The certified data science courses will help you to learn vast details about the Scrum framework from industry experts and certified Scrum trainers. After the end of the course, you also need to take an examination to get a certified Scrum master certification degree. Becoming a certified scrum master comes with many career prospects, and industry experts curate the certification course curriculum. It will help you understand the Scrum framework and how to apply its methodologies in practical jobs.

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