| 01 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 02 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 08 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 09 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
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| 01 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 02 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 08 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun | |
| 09 Nov 2025 | 24 | 06:00 PM - 09:00 PM | Sat, Sun |
Course Price At
Secure Transaction
Online Self Learning Courses are designed for self-directed training, allowing participants to begin at their convenience with structured training and review exercises to reinforce learning. You’ll learn through videos, PPTs and complete assignments, projects and other activities designed to enhance learning outcomes, all at times that are most convenient to you.
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The Jupyter for Data Science Teams Training offered by Multisoft Virtual Academy is designed to equip professionals and teams with the skills required to collaborate effectively in data-driven environments. Jupyter has become the leading open-source platform for interactive computing, data analysis, and visualization, making it an essential tool for modern data science teams. This training emphasizes not only the technical aspects of Jupyter but also its collaborative features that allow seamless teamwork, reproducibility, and sharing of results. Participants will gain hands-on experience in creating and managing Jupyter notebooks, integrating them with popular data science libraries, and leveraging version control to maintain project integrity. The course also highlights strategies for collaborative workflows, scalable project execution, and best practices for ensuring transparency and efficiency in team-based projects.
By the end of the training, learners will understand how to use Jupyter to streamline analysis, present findings interactively, and enhance productivity within a team setting. Whether you are a data analyst, scientist, or manager, this program ensures that you are prepared to harness the full potential of Jupyter for enterprise-level data science initiatives. Upskill your team and accelerate data-driven decision-making with this comprehensive training.
Jupyter for Data Science Teams training is a specialized program that teaches professionals how to collaborate effectively using Jupyter notebooks. The course focuses on interactive coding, visualization, and documentation, enabling teams to streamline workflows and share insights seamlessly. Participants gain hands-on experience with Python, R, and data visualization tools while learning best practices for version control and multi-user collaboration. This training helps organizations boost efficiency, improve productivity, and deliver impactful data science solutions.
1.1 Overview of Jupyter and its ecosystem
1.2 Installation and setup
1.3 Configuring Jupyter for team collaboration
2.1 Using Git for version control
3.1 Notebook structure and functionality
3.2 Sharing and organizing notebooks
4.1 Choosing and using programming languages (Python, R, Scala)
4.2 Writing and executing code
4.3 Integrating with big data systems (Apache Spark)
5.1 Customizing Jupyter environment
5.2 Automating workflows with Jupyter
Yes. The program includes practical exercises and real-world scenarios to ensure participants gain hands-on experience with Jupyter in team-based environments.
Yes. Participants will receive a course completion certificate from Multisoft Virtual Academy, validating their skills in Jupyter for data science collaboration.
You will gain hands-on expertise in managing Jupyter notebooks, integrating with libraries, version controlling projects, collaborating on workflows, and presenting interactive data insights.
Yes, the program is delivered online by industry experts through instructor-led live sessions, ensuring interactive learning and practical exposure.
To contact Multisoft Virtual Academy you can mail us on enquiry@multisoftvirtualacademy.com or can call for course enquiry on this number +91 8130666206