Online or onsite, instructor-led live Apache Superset training courses demonstrate through interactive hands-on practice how to explore, organize and visualize data using Apache Superset.
Apache Superset training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Superset training can be carried out locally on customer premises in Kathmandu or in NobleProg corporate training centers in Kathmandu.
NobleProg -- Your Local Training Provider
Kathmandu Classroom
near Soaltee, Tahachal Marg, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Tahachal Marg with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
Thamel Classroom
near Radisson , Ward 2, Kathmandu, Nepal, 44600
Set in Kathmandu, this classroom is well located near Thamel, with all amenities and WiFi.
For Sales Enquires and Meetings
All our centres have batches running on weekdays and weekends hence, please note that, in most cases, usually we are not able to organise ad hoc sales meetings, especially on our classrooms as they are all occupied with ongoing training sessions . Please contact us by e-mail or phone at least one day earlier to make an appointment with one of our consultants at our corporate offices.
This instructor-led, live training in Kathmandu (online or onsite) is aimed at beginner-level to intermediate-level system administrators who wish to set up and manage Apache Superset for their organizations.
By the end of this training, participants will be able to:
Install and configure Apache Superset.
Understand the architecture and features of Superset.
Manage user access and security settings.
Monitor and optimize the performance of Superset instances.
Troubleshoot common issues and perform regular maintenance.
This instructor-led, live training in Kathmandu (online or onsite) is aimed at data analysts, data scientists and data engineers who wish to carry out advanced data analytics and visualization using Apache Superset.
By the end of this training, participants will be able to:
Install and configure Apache Superset.
Implement advanced data analysis and visualization using Apache Superset.
This instructor-led, live training (online or onsite) is aimed at data analysts and data scientists who wish to explore, organize, and visualize data using Apache Superset.
By the end of this training, participants will be able to:
Install and configure Apache Superset.
Combine data from different databases.
Visualize large datasets.
Create and share complex dashboards.
Format of the Course
Interactive lecture and discussion.
Lots of exercises and practice.
Hands-on implementation in a live-lab environment.
Course Customization Options
This training is based on the latest version of Apache Superset.
To request a customized training for this course, please contact us to arrange.
To learn more about Apache Superset, please visit: https://superset.incubator.apache.org
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Testimonials (2)
The course material was commendable, featuring insightful overviews of Linux and Superset. While the Python component was comprehensive, it demanded a substantial coding proficiency
EMMANUEL MFANA KUNENE - Palladium Group
Course - Apache Superset for Administrators
The easy rapport with Gunnar was really helpful in learning the topic(s). There was little to no pressure to follow along perfectly with examples as can happen in some classes. He was very supportive and would happily retrace our steps and figure out the issue. Being the only person in the class allowed me to also ask a lot of questions of Gunnar. It was a very informative class.
Karen Salamy - Monterey Bay Aquarium Research Institute (MBARI)
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