Program profile · official sources
Customer Analytics in Python
Customer Analytics in Python connects customer segments with purchase behavior and conversion prediction. It is useful when the learner wants that applied marketing context rather than a model-family survey alone. The Advanced course brings several analytical stages together without establishing that the teaching examples are validated for a particular organization’s customer decisions.
Commercial disclosure: Academies.ai has an affiliate agreement with 365 Data Science. If you enroll through links on this page we may earn a commission at no extra cost to you. This does not affect our assessment; rankings cannot be purchased.
Who it is for
Learners studying customer segmentation and purchase behavior with Python. Required prerequisites: Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic familiarity with Python programming is required. Advanced preparation: Introduction to Python, Machine Learning in Python.
Who should skip it
Skip this if your requirement is a guaranteed marketing result, approved use of a customer dataset or a complete production recommendation system. Those outcomes are not established. The course’s breadth across clustering and prediction does not make every topic equally deep or remove the recorded Python and pandas requirements.
Facts checked 1 Oct 2026
- Price
- See pricing
Price observation recorded 1 Oct 2026 (not a current price): As shown in the United States on 1 October 2026, the pricing page displays a Free tier, a Self-study reference price of $36, and a Self-study promotional offer of $12.50/month billed annually. The FAQ separately states a $29/month full access rate. A Lifetime 'Pay once' plan lacks a numeric amount. These are platform subscription quotes, not a fixed course-completion total.
- Provider link
See price and enroll at 365 Data Science (official site) ↗
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- Time
- Provider headline 10 hours, Lessons 5 hours, Projects 5 hours
- Level
- Advanced
- Credential
- Provider-issued course certificate
Verifiable credential with Credential ID and Credential Link; sharable on LinkedIn/resumes; downloadable upon course completion and passing the exam. Certificates are included with the Self-study learning plan.
- Prerequisites
- Required prerequisites: Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic familiarity with Python programming is required. Advanced preparation: Introduction to Python, Machine Learning in Python.
- Format
- Online Course
Sources ↗
Dated course facts
| Provider / format | Level / language | Individual credential | Course source date |
|---|---|---|---|
| 365 Data Science / Online Course | Advanced / Not stated | Course Certificate | 2026-10-01 |
What you actually do
The sequence begins by framing customer segments, then moves toward questions about whether, what and how much customers purchase. Descriptive analysis by segment provides an intermediate point between constructing groups and modeling purchasing behavior. The later deep-learning activity addresses conversion prediction using TensorFlow 2.0. A learner focused on segment construction can inspect those methods, while a learner focused on conversion should examine the separate prediction entry rather than assume the whole curriculum centers on it. The public record does not establish a particular business uplift, a production deployment or permission to reuse private customer data. Required coding familiarity remains separate from the suggested introductory preparation courses.
Curriculum and workload
| Provider workload labels | Sum of listed sections | Assessment allocation |
|---|---|---|
| Provider headline 10 hours, Lessons 5 hours, Projects 5 hours | 366.0 minutes | Separately named assessment entries total 75 minutes, 20.5% of 366 listed minutes (75/366 x 100, rounded to one decimal). |
| Section | Published duration | Share of section-time sum | Source date |
|---|---|---|---|
| A Brief Marketing Introduction | 37 min | 10.1% | 2026-10-01 |
| Setting up the environment | 2 min | 0.5% | 2026-10-01 |
| Segmentation Data | 16 min | 4.4% | 2026-10-01 |
| Hierarchical Clustering | 11 min | 3.0% | 2026-10-01 |
| K-means Clustering | 18 min | 4.9% | 2026-10-01 |
| K-Means Clustering based on Principal Component Analysis | 23 min | 6.3% | 2026-10-01 |
| Purchase Data | 14 min | 3.8% | 2026-10-01 |
| Descriptive Analyses by Segments | 26 min | 7.1% | 2026-10-01 |
| Modeling Purchase Incidence | 36 min | 9.8% | 2026-10-01 |
| Modeling Brand Choice | 34 min | 9.3% | 2026-10-01 |
| Modeling Purchase Quantity | 19 min | 5.2% | 2026-10-01 |
| Deep Learning for Conversion Prediction | 55 min | 15.0% | 2026-10-01 |
| Course exam | 75 min | 20.5% | 2026-10-01 |
Preparation and access
Required prerequisites: Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code). Basic familiarity with Python programming is required. Advanced preparation: Introduction to Python, Machine Learning in Python.
US access prices
| Route | Amount at original source date | Billing scope | Included / limits |
|---|---|---|---|
| Platform reference figure observed 2026-10-01 | USD 36 | Platform-wide Self-Study subscription. An FAQ mentions a $29/month full access rate. | No fully sourced total cost or payment quantity for completion. Conflicting monthly subscription rates observed. |
| Annual-billing platform figure observed 2026-10-01 | USD 12.50/month billed annually | Platform-wide Self-Study subscription. An FAQ mentions a $29/month full access rate. | No fully sourced total cost or payment quantity for completion. Conflicting monthly subscription rates observed. |
| Separate platform FAQ figure observed 2026-10-01 | USD 29/month | Platform-wide Self-Study subscription. An FAQ mentions a $29/month full access rate. | No fully sourced total cost or payment quantity for completion. Conflicting monthly subscription rates observed. |
Customer Analytics preserves its original platform reference, annual-billing and FAQ observations. The record does not establish refund or retake terms, a fixed completion total or a full external-software budget. Those limits are important when comparing a broad multi-course subscription with the narrower decision to study this particular customer-analysis workflow.
Alternatives in the registry
The customer-analytics outline offers two smaller groupings that clarify its applied emphasis. Hierarchical Clustering, K-means Clustering and K-Means Clustering based on Principal Component Analysis together occupy 52 minutes, from 11 + 18 + 23. That is 14.2% of the full 366-minute inventory (52/366 x 100, rounded to one decimal). Modeling Purchase Incidence, Modeling Brand Choice and Modeling Purchase Quantity form another consecutive group: 36 + 34 + 19 = 89 minutes, or 24.3% of the same full inventory (89/366 x 100, rounded to one decimal). Comparing these groups helps a reader distinguish interest in constructing customer segments from interest in the subsequent purchase questions. It does not imply that segmentation is irrelevant to purchasing, or that the groups describe separate prerequisites. The intervening Purchase Data and Descriptive Analyses by Segments entries provide additional named points to inspect when judging that transition. A course chosen chiefly for conversion prediction should also be assessed against its separate deep-learning entry, rather than against the sum of these clustering and purchase-model groups.
| Program | Level / format | Dated workload | Credential | Dated price |
|---|---|---|---|---|
| Google Advanced Data Analytics Professional Certificate / Google | Advanced level; Online, self-paced | Less than 6 months (headline estimate); 6 months at 10 hours a week (completion estimate); over 200 hours of instruction (lesson hours).; 2026-10-02 | Provider-issued course certificate | USD 49. As of 2 October 2026 in the US, the Google Advanced Data Analytics programme costs 49 USD per month following a seven day free trial. The provider estimates most learners finish the certificate for under 300 USD total. This is an estimated cost based on typical completion time, not a fixed price.; 2026-10-02 |
| IBM Data Science Professional Certificate / IBM | Beginner level; Online, flexible schedule, learn at your own pace | 4 months at 10 hours a week; 2026-10-03 | Provider-issued course certificate | No specific total price is stated. The page lists 'Enroll for free' and 'Financial aid available'.; 2026-10-03 |
Before you enroll
Do the preparation courses have to be completed first?
Introduction to Python and Machine Learning in Python are listed as advance preparation. The stored record does not establish that purchasing or completing those exact courses is a mandatory enrollment gate. The explicit Python, pandas and basic programming requirements still apply regardless of where a learner acquired that background.
What conditions apply to the course award?
The recorded requirement is course completion and an exam score of at least 60%. It is a provider-issued Course Certificate rather than a university degree or proof of a commercial analytics result. Expiry, renewal and retake conditions are not explicitly established in this dated record; CPE acceptance, where relevant, remains a state-board decision.
Change log
- : Initial recorded review of official program details. · Source