Program profile · official sources

Image Processing in Python

Image Processing in Python is a beginner-level track offered by DataCamp that has 12 provider-listed hours. The curriculum covers image pre-processing, restoration, and deep learning using Python. Learners progress through three courses: Image Processing in Python, Biomedical Image Analysis in Python, and Image Modeling with Keras. There are no prerequisites for enrollment. DataCamp issues a Statement of Accomplishment upon finishing the track, which serves as a completion record rather than a formal certification. Access requires a monthly Premium subscription, priced at USD 35 at the regular price checked on 8 September 2026. This price reflects one month of access, not a guaranteed total cost to finish the entire learning path. The program includes one bonus project about object detection.

Facts checked 9 Sep 2026

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price
Time
12 hours

Provider-listed track duration; not guaranteed elapsed completion time.

Level
Beginner
Credential
Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review.

Prerequisites
There are no prerequisites for this track

Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.

Price
DataCamp Premium — USD 35/month for course content, billed monthly at the regular price. (see provider page)
Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access is USD 35 with no monthly promotion shown. Annual regular USD 330 and promotional USD 165 are separate billed totals; no promotion expiry or additional account/geographic restriction is stated. Access price is not a guarantee of track completion. · Official pricing
Duration
12 hoursProvider-listed track duration; not guaranteed elapsed completion time.
Level
Beginner
Format
Track
Credential
Statement of Accomplishment
Prerequisites
There are no prerequisites for this track

Course and activity access

Career and Skill tracks: Basic not included; Premium included.. Official source

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Image Processing in Python: USD 35; position among 36 other courses and tracks with accepted USD prices. Payment scopes differ.

See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.

What’s covered

  • Image Processing in Python
  • Biomedical Image Analysis in Python
  • Image Modeling with Keras

Prerequisites: There are no prerequisites for this track

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What does the Image Processing in Python curriculum cover?

The DataCamp track consists of three primary courses and one bonus project designed for beginners. Learners start with the "Image Processing in Python" course to learn image manipulation and transformation fundamentals. The second course, "Biomedical Image Analysis in Python", introduces techniques for exploring and measuring complex medical image data like MRI scans. Finally, the "Image Modeling with Keras" course focuses on building, training, and evaluating convolutional neural networks for image classification. A separate bonus project covers building an image processing pipeline for data augmentation in object detection models.

How much does the DataCamp Image Processing in Python track cost?

Pricing for this DataCamp track is based on a subscription model rather than a flat fee for the courses. To access the curriculum, learners must subscribe to the Premium plan, which costs USD 35 per month at the regular price checked on 8 September 2026. Because this is a monthly subscription, the total cost depends on the subscription route and billing periods selected. The USD 35 provides one month of access to the three main courses and the bonus project, but it is not a guaranteed fixed cost to finish the program.

Do I receive a certification upon completing this track?

Upon completing the three primary courses in the Image Processing in Python track, DataCamp issues a Statement of Accomplishment. This credential is a formal acknowledgement of track completion rather than an independent professional certification. The provider notes that learners can add this statement to their resume, CV, or LinkedIn profile, and share it during performance reviews. The official documentation does not state that a mandatory final certification exam is required to earn the statement, nor does it indicate any expiration date or renewal requirements for the credential.

What you actually do

  • Image Processing in Python · Source
  • Biomedical Image Analysis in Python · Source
  • Image Modeling with Keras · Source

What the credential is

Credential type
Statement of Accomplishment · www.datacamp.com / image-processing
Credential
Statement of Accomplishment · www.datacamp.com / image-processing
Issuer
DataCamp · www.datacamp.com / image-processing
Sharing
Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / image-processing

Who should skip it

  • Learners seeking image-processing instruction in another programming language, since these courses use Python and Keras. · Source
  • Individuals requiring a one-off course purchase, since the sourced access route is a regular USD 35 monthly Premium subscription. · Source

Alternatives in the registry

Related by topic or level.

  • Keras Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; 16 hours.
  • AWS Certified AI Practitioner (AIF-C01) — USD 100 (One initial exam attempt; check applicable regional pricing and taxes. Optional preparation and retakes are not included.); 90 minutes (exam only; not preparation time).
  • AI Fundamentals — DataCamp Premium — USD 35/month for course content, billed monthly at the regular price; Approximately 9 hours.

Change log

  • : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source
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