Data behind the story
Use the data or analysis already featured in the episode to introduce a related learning path. Dhruv Rathee makes a digital elevation model the bridge.

YouTube brand partnerships
scaler.com ↗Connect the career story to a practical skill
Scaler reads connect technology education to the work behind data, software and machine learning. The Deshbhakt introduces data science and its relevance to multiple industries; Gaurav Thakur relates data skills to interpreting geopolitical systems; Dhruv Rathee links data analysis to a digital elevation model before describing a learning programme. The best pitch starts with a project or career interest already in the video.
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The Deshbhakt × Scaler
Parithabangal is the most frequent partner in the creator list below, with 6 sponsored videos. Professor Of How follows with 6.
Explore the creators behind the sponsorships.
Parithabangal6 sponsored videos
Professor Of How6 sponsored videos
Gaurav Thakur5 sponsored videos
Dhruv Rathee5 sponsored videos
The Deshbhakt4 sponsored videos
GetsetflySCIENCE by Gaurav Thakur2 sponsored videos
Counting Unique1 sponsored video
Nikita Thakur1 sponsored videoCreative starting points drawn from Scaler’s integrations.
Use the data or analysis already featured in the episode to introduce a related learning path. Dhruv Rathee makes a digital elevation model the bridge.
Connect the creator’s subject to the wider use of data science, then describe the programme in approved terms. The Deshbhakt opens with data’s role across fields.
The brands, creative choices and product connections worth paying attention to.
The Deshbhakt discusses the importance of data analysis and intelligence inputs, then introduces Scaler’s learning programmes. The transition connects the course to a subject the episode is already exploring.
Gaurav Thakur describes how data, logistics and strategy help decode complex systems, then connects that discussion to data science and machine-learning skills. This makes the sponsor relevant to the channel’s analytical focus.
Dhruv Rathee describes a digital elevation model used to assess flood risks, then introduces data science as a skill used in multiple industries. The technical example gives the audience a concrete reason to care about the field.
A creator pitch can name a project, dataset or career interest and then explain what the course covers using the current programme details. Avoid implying a guaranteed job or outcome.
The examples move from industry context to a potential learning route. A useful segment can say who the programme is for, what subject it covers and where a viewer can learn more.
Name the creator’s relevant experience and show how the skill connects to their topic. Then return to the video without overstating employment results.
Watch how the product becomes part of the video.
Sponsor at 3:56
The Deshbhakt1 Apr 2026The Deshbhakt moves from geopolitical reporting to the role of data analysis and intelligence processing in national security, then introduces Scaler’s data-science learning programme. The connection comes from a skill already named in the discussion. A creator can make an education pitch credible by linking a course topic to the work or news subject viewers just heard.
Sponsor at 6:29
Gaurav Thakur28 Feb 2026Gaurav Thakur explains that headlines alone do not clarify geopolitical systems and points to data, logistics and strategy before introducing data-science and machine-learning training. The read ties a learning path to the analytical lens of the episode. A creator can show why a skill matters by first demonstrating the kind of question it helps answer.
Sponsor at 5:24
Dhruv Rathee20 Aug 2025Dhruv Rathee describes scientists using a high-resolution digital elevation model to assess flood risk, then connects the example to data science as a skill used across industries. The sponsor follows a real application viewers have just seen. A creator can make a course feel relevant by showing a concrete project or dataset before discussing the learning option.
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