Digital Marketing 1 / digtialX 1 أساسيات التسويق الإلكتروني
- Provider
- Udemy
- Section
- Marketing Strategy & Analytics
- Price
- $49.99
About this course
Digital Marketing 1 / digtialX 1 أساسيات التسويق الإلكتروني: a Marketing Strategy & Analytics course on Udemy, list price $49.99.
The syllabus, reviews and instructor details are on the provider's page.
Course Details
$49.99
List price on Udemy; the sale price is often lower.
Affiliate disclosure: course links are affiliate links; an enrolment through one may pay Getting Digital a commission from the provider, at no extra cost to the learner, and it does not influence how courses are described.
Not sure if this is right for you?
Browse More Marketing Strategy & Analytics CoursesWhere this course fits
Concepts behind this area
Retargeting (Remarketing)
Retargeting is advertising shown to people because of something they did before: visited a site, viewed a product, abandoned a basket or appeared on a customer list, with the ad platform recognising them later on other sites, in search results or in a video feed and serving an ad tied to that earlier action.
Content Marketing
Content marketing is the practice of earning customers by publishing material they want for its own sake, guides, comparisons, tools, data, video, so that the people who need what a business sells find it, trust it and come back, instead of being interrupted by an advertisement.
Marketing Funnel
The marketing funnel is a model of how strangers become customers in stages, awareness, interest, consideration, purchase, with fewer people at each stage than the one before, used to decide which message, channel and measure belong to which stage.
Data Quality
Data quality is the degree to which a dataset is fit for the purpose it is used for, assessed along named dimensions, whether the records are complete, unique, consistent, timely, valid and accurate, and measured against the requirements of the decision the data supports rather than against an absolute standard.
Data Modelling
Data modelling is the design of how data is structured for a given use: which entities are recorded, which attributes describe them, how the tables relate through keys, and, for analytical use, which table holds the measurements and which hold the context, decided before the data is loaded so that the questions the model must answer run correctly and fast.
Hypothesis Testing
Hypothesis testing is the statistical procedure for deciding whether an observed difference, between two groups, two periods or a sample and a claimed value, is larger than chance variation would produce if there were no real difference, by computing how probable a result at least that extreme would be under that assumption.
The field, explained: Digital & Tech Marketing · Data & Analytics
Wider context: all fields, the glossary and certification exams.
Last updated 26 September 2026 · Getting Digital
