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Towards Data Science Review

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Should I use Towards Data Science?

We value your privacy - towardsdatascience.com

· 2 weeks ago

Read it free as supplementary material if you already know some Python and ML basics. Don't treat it as structured training — quality is uneven and there is no support, and there is nothing to buy here anyway.

Confidence

Medium. Based on ~40 public sources reviewed; most snippets truncated, so ratings and follower counts are exact but some claims rest on thread titles.

Ratings

  • Value for money
  • Ease of use
  • Feature depth
  • Support qualityNo evidence of any support channel
  • Security postureNo findings either way in sources

Pricing

Free

Reading

ModelNot disclosed
Monthly feesNot disclosed
HardwareNot disclosed
Free tierYes

Best for

  • Practitioners wanting free Python/ML tutorials
  • Casual supplementary reading
  • Beginners browsing concepts alongside a real course

Not for

  • Anyone shopping for software — this is a publication, not a tool
  • Learners needing structured curriculum or mentorship
  • Teams wanting certified, vendor-backed training
  • Readers needing vetted, quality-checked tutorials only

Gotchas - check before you buy

high

Tutorial quality varies widely; verify code before relying on it

medium

Guess: Medium-hosted era articles may hit paywalls after limited free reads

low

No official support — it is editorial content, not a product

Pros and cons

Pros

  • Huge free archive of data science and AI articles
  • Listed as a recommended resource by university career centers
  • Appears in third-party top data science site roundups
  • Large audience: 617,298 LinkedIn followers
  • Runs an author payment program via Stripe

Cons

  • Reddit threads call out low-quality articles and noise
  • Trustpilot rating is just 3.0/5
  • Community debates whether it is a good learning resource
  • Not structured training — no curriculum, mentorship, or support

Sources & method

- 10 sources - No known vulnerabilities found in the sources reviewed.

official x3review x4security x1news x2

Key stats

  • Value for money: 4/5

    Rating

  • Free

    Starting price

  • 10

    Sources

  • Analyzed

  • Value for money: 4/5. Free to read; quality varies
  • Ease of use: 4/5. Public blog, just open and read
  • Feature depth: 3/5. Vast archive, uneven depth
  • Support quality. No evidence of any support channel
  • Security posture. No findings either way in sources
  • 3.0/5 Trustpilot rating trustpilot.com
  • 617,298 LinkedIn followers company page
  • $0 Cost to read public website

Pricing

Reading

Free

  • Public articles on towardsdatascience.com
  • No purchase required

Security

No known vulnerabilities found in the sources reviewed.

What users say

Redditors are split: many still read it for free tutorials, while recurring threads call the quality uneven and 'noise'.

“Is Towards Data Science on Medium a bad Resource?”
Reddit, r/datascience
“Low Quality TowardsDataScience & Medium Articles”
Reddit, r/datascience
“[D] Medium/TowardsDataScience Noise”
Reddit, r/MachineLearning
Full analysis

Based on ~40 public sources reviewed; most snippets truncated, so ratings and follower counts are exact but some claims rest on thread titles.

Free data-science blog, not software. Good casual reading, uneven quality — don't treat it as training.

Methodology

Based on ~40 public sources reviewed; most snippets truncated, so ratings and follower counts are exact but some claims rest on thread titles.

Read how a report is made.

Sources

  1. official
  2. review
  3. review
  4. review
  5. review
  6. official
  7. official
  8. news
  9. news
  10. Product security pagetowardsdatascience.com
    security

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