This page covers two things: how Let's Data Science displays preview images from third-party publishers in our news section, and how we display company names and logos alongside our coding practice problems. In both cases, we use these visuals as editorial reference only, and rights holders can request removal or re-attribution at any time.

1.How we display news images

News items that appear in our news section are collected from public RSS feeds, search results, and scraped article metadata from third-party publishers. When a publisher's RSS feed or article metadata includes a preview image, we display that image alongside our editorial summary as a visual reference to the original story.

We do this in a way intended to minimise any impact on the original publisher:

We hotlink images directly from the publisher's own servers. The images are never downloaded, re-hosted, cached, or re-served from our own infrastructure or from any third-party CDN on our behalf. When a visitor loads a news page on Let's Data Science, their browser fetches the image straight from the publisher's URL, the same way a web search engine's image results work.
Every image is credited. On each news article page, a visible caption under the image names the publisher and links back to the source article, so credit and traffic flow to the original reporting.
We do not strip copyright metadata. Because we hotlink, the image bytes your browser receives are exactly the bytes the publisher serves, including any embedded copyright or watermark data.
We drive traffic back to the source. Every news item links back to the original article in multiple places: the headline, the sources drawer, and the image caption itself.

Our editorial summaries are original analysis written by Let's Data Science and are not reproductions of the source articles. Factual claims are cited across multiple independent sources wherever possible.

2.Company names and logos on coding problems

On our coding problems, dataset pages, and problem detail views we display small company logos under labels such as "Relevant companies" or "Companies working in X". These visuals are there only to help learners understand which industries a practice problem is modeled after.

Specifically:

All company names and logos are trademarks of their respective owners. We claim no rights in them. Company logos are shown at small sizes, in lists, and purely for identification and editorial reference.
We are not affiliated, partnered, sponsored, or endorsed. Let's Data Science has no formal relationship with any of the companies whose names or logos appear on the platform. Their inclusion does not imply any endorsement of Let's Data Science, nor the reverse.
Our practice problems are original works. They are not transcripts, recordings, reproductions, or leaks of actual interview questions asked at any company. They are exercises we have written in-house, inspired by the kinds of analytics and engineering problems teams in a given industry typically face. Any resemblance to a real interview question at a real company is coincidental.
We do not claim that these companies have approved our content. We do not present ourselves as an interview-prep partner to any named company, and we do not suggest that using Let's Data Science is an endorsement by, or a substitute for, any official hiring or training process of any company.

If you represent a company whose name or logo appears on Let's Data Science and you would like it removed, replaced with a different version, re-sized, or re-attributed, please email us using the contact details below. We will action valid requests within 24 hours, no legal process required.

3.For publishers and rights holders

If you are a publisher, photographer, illustrator, or other rights holder and you would like an image removed or re-attributed, we will act promptly. You do not need to file a formal DMCA notice, though we accept those too.

To request removal, re-attribution, or a specific change, email us at:

takedowns@letsdatascience.com

Please include:

The URL of the Let's Data Science news page where the image appears
A short description of the image and what you would like us to do (remove, re-attribute, link to a specific source, etc.)
Confirmation that you are the rights holder or authorised to act on their behalf

We target a turnaround of 24 hours on valid requests and will confirm back once the change is live. For bulk or ongoing requests from an organisation, we are happy to set up a single ongoing contact.

4.Blog articles and other original content

The hotlinking policy described in Section 1 applies specifically to images displayed in the news section (pages under /news/…). Images used in the Let's Data Science blog, on course pages, in coding problem bodies, and across marketing surfaces are either original artwork created by Let's Data Science, properly licensed stock imagery, or open-source assets attributed in the relevant section.

If you believe a blog or marketing image infringes your rights, the same takedown email applies and we will handle it with equal priority.

5.Fair use and editorial reference

This page is not a legal claim of fair use. We do not assume that every publisher's preview image is freely reusable. We hotlink and credit, and we remove on request, no questions asked. If you are a rights holder and you want something taken down, we will take it down.

Where an image is clearly the work of a specific photographer, photo agency, or illustrator whose name is available in the source article metadata, we aim to credit that individual or agency rather than just the publisher. If you see an image that needs a more specific credit, please let us know.

6.Contact us

For any question related to image rights, credits, or takedowns:

AIDriven Technologies Pvt. Ltd.