Program profile · official sources
Time Series in Python
DataCamp offers the Time Series in Python track, a beginner-level program for data scientists, data engineers, data analysts, and software developers seeking time-series experience. The curriculum has a provider-listed duration of approximately 20 hours. There are no prerequisites. The program consists of five courses and one bonus project, teaching learners to manipulate time-series data using pandas, analyze it with NumPy and statsmodels, and forecast using ARIMA and machine-learning models. Access requires a Premium subscription, which at the regular price checked on 8 September 2026 costs USD 35 for one month; this reflects the monthly rate and not a guaranteed total cost to finish. Graduates earn a Statement of Accomplishment.
Facts checked 9 Sep 2026
- Price
- DataCamp Premium · USD 35/month for course content, billed monthly at the regular price
- Premium for Individuals. English public pages with USD explicitly selected; visitor country not stated. Monthly regular access observed 2026-09-08 was USD 35. Annual regular access observed 2026-09-05 was USD 330, billed annually; a time-limited promotion was displayed on 5 September 2026. Access price is not a guarantee of track completion. ·
- Provider link
See price and enroll at DataCamp (official site) ↗
Official site. No commission.
- Time
- 20 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.
- Format
- Track
- 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.
Sources ↗
Course and activity access
Career and Skill tracks: Basic not included; Premium included.. Official source
Chart scrolls horizontally. Open the full-size chart.
See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Manipulating Time Series Data in Python
- Time Series Analysis in Python
- Visualizing Time Series Data in Python
- ARIMA Models in Python
- Machine Learning for Time Series Data in Python
Prerequisites: There are no prerequisites for this track.
What are the prerequisites and target audience for the Time Series in Python track?
There are absolutely no prerequisites required to begin the Time Series in Python track offered by DataCamp. It is specifically designed as a beginner-level program, making it accessible to those starting from the ground up and progressing at their own pace. The primary target audience includes data scientists, data engineers, data analysts, and software developers who are actively seeking to gain practical experience with time-series data and related analytical techniques in Python.
What is the cost and expected duration of this DataCamp program?
The Time Series in Python track has a provider-listed duration of approximately 20 hours, though this is an estimate and not a guaranteed elapsed completion time. The second course, Time Series Analysis in Python, explicitly states a four-hour duration. The program operates on a subscription pricing model, requiring at least a Premium plan. The regular price for one month of Premium access is USD 35, based on pricing data checked on September 8, 2026. This represents the monthly access fee, not a guaranteed total cost to finish.
What specific content and credentials are included in the curriculum?
The track curriculum consists of exactly five courses and one bonus project. The ordered courses cover manipulating time series data, time series analysis, visualizing time series data, ARIMA models, and machine learning for time series data. The bonus project focuses on time series analysis for transportation to forecast travel costs. Learners will work with example datasets such as stocks, UFO sightings, Maui CO2, US candy production, and heartbeat sounds. Upon completing the track, participants earn a Statement of Accomplishment that can be shared on professional profiles.
What you actually do
What the credential is
- Credential type
- Statement of Accomplishment · www.datacamp.com / time-series-with-python
- Credential
- Statement of Accomplishment · www.datacamp.com / time-series-with-python
- Issuer
- DataCamp · www.datacamp.com / time-series-with-python
- Sharing
- Add this credential to your LinkedIn profile, resume, or CV; share it on social media and in your performance review. · www.datacamp.com / time-series-with-python
Who should skip it
- Learners seeking an advanced-level curriculum, as this track is explicitly designated as a beginner-level program. · Source
- Individuals requiring a fixed cohort schedule: the provider describes progression at your own pace, without a cohort schedule in the reviewed facts. · Source
- Those looking to purchase a one-time standalone course, as access to this track requires an ongoing monthly subscription. · Source
Alternatives in the registry
Programs from other providers, a comparison and a guide.
- Advanced Machine Learning and AI Applications in Finance (365 Data Science)
- Google Advanced Data Analytics Professional Certificate (Google)
- Comparison: Comparison of DataCamp Machine Learning Scientist in Python and DataCamp Machine Learning Engineer: which fits your learning goal?
- Guide: Machine Learning at One Hour a Day: What the Course Pages Add Up To
Change log
- : Registry admission from previously reviewed official evidence; individual fact dates are preserved. · Source