× Home
Proposals Tickets Sponsors Consulting Corner Contest Team
Workshops Agile Career Counselling Agile Job Fair Women In Agile & Tech Previous Editions (2018)
Contact Sign In

Agile Data Science Team Lifecycle - The Data Science Fabric

* * *

Agile Data Science Team Lifecycle - The Data Science Fabric

Where: The Leela, Gurugram When: 5-May-2019

Included Certificate: Agile Data Science Team Lifecycle , SEUs: 16 , PDUs: 16

The Data Science Fabric is an agile, iterative data science methodology to deliver predictive analytics solutions and intelligent applications efficiently. This process helps improve team collaboration and learning. The fabric is a distillation of the best practices and structures from large corporations in the industry that facilitate the successful implementation of data science initiatives. This boot camp provides a dive into of the data science lifecycle and its main components, panning out the project tasks and roles involved in the lifecycle of Data science Project.

Course Topics :

  • The Process

  • Business Understanding -defining Objectives

  • Data Acquisition and Understanding _ data ingestion, Exploration etc.

  • Modeling- Model Training, Feature Engineering

  • Deployment -Dashboards, Apps

  • Project Planning- Resource and timeline estimation

  • Agile development- Sprint planning, User stories, Defining technical tasks

  • Collaborative coding with Git

  • Execute data science tasks

  • Code testing

  • Track progress- DashBoard Charts


Who should attend?

Building up a data science team in organizations is the reality of the day. This program is for everyone involved in analytics, machine learning / deep learning using the collaborative Agile framework. It is particularly beneficial for those people within an organization accountable for maximizing the value of work done by the Development team, including Scrum Masters, Product Owner, Product Manager, and managers.


Teaching Techniques

Complete hands-on workshop using cloud computing (AWS/AZURE) with focus on to deal with organizational challenges and implantation issues. Data Science is a team process and participants learn by doing and training facilitator balances between ML concepts and practical implementations. Participants work in small teams to learn and play all the roles to understand the importance of the Scrum Team.