Generative AI for Business Leaders
Advertising with Meta
How Google does Machine Learning
دوراتنا
Digital Marketing Analytics: Tools and Techniques
Learn how to leverage leading tools and approaches to digital marketing data analysis. Dive into SEO and Paid search strategies, web analytics, online testing, machine learning and AI/Big Data applications to strengthen your digital marketing efforts and leverage your resources most effectively.
-
Course by
-
10
-
الإنجليزية
UX Data Analysis
Become a UX data scientist! From qualitative data analysis to big data Web analytics, you will be able to leverage insights from data to make empirically-based recommendations.
-
Course by
-
10
-
الإنجليزية
Digital Marketing
The course examines digital marketing strategy, implementation and executional considerations for BtoB and BtoC brands and provides a detailed understanding of all digital channels and platforms. Participants will complete the course with a comprehensive knowledge of and experience with how to develop an integrated digital marketing strategy, from formulation to implementation. Using a variety of practical tools and techniques in practical exercises and projects, students will understand using digital channels to achieve their marketing goals.
-
Course by
-
Self Paced
-
الإنجليزية
Digital Consumer Search and Marketing
Digital Consumer Search and Marketing builds on the foundations of digital consumer behaviour and digital marketing. You will learn how to optimise marketing efforts across digital channels. By the end of the specialization, you will have a good understanding of the design and implementation of digital marketing strategies, as well as the importance and use of digital media and tools including: Search Engine Optimization (SEO) Content Marketing Social Media Marketing Mobile Marketing Pay Per Click (PPC) Web Analytics Email Marketing.
-
Course by
-
Self Paced
-
الإنجليزية
Sensing Consumer Insights
In this course, you will focus on measuring the effectiveness of a digital marketing strategy through marketing analytics. By the end of this course, you will have developed your understanding of key topics such as; owned and earned social media, web analytics, social media landscape analysis, crisis management, product lifecycle and Return on Investment (ROI). Throughout the course, you will be prompted to consider how the topics relate to a company or brand of your choosing.
-
Course by
-
Self Paced
-
14 ساعات
-
الإنجليزية
UX Research at Scale: Surveys, Analytics, Online Testing
This UX course will provide an overview of survey methodology from the perspective of UX research. UX surveys typically focus on uncovering user needs, connecting needs to user characteristics, and gaining insight into user attitudes towards systems they use. In this course, learners will learn the basics of UX survey research and conduct a survey of their own design! Learners will be introduced to techniques for gaining UX insights from large numbers of users, including web analytics, A/B testing, and remote unmoderated studies.
-
Course by
-
Self Paced
-
19 ساعات
-
الإنجليزية
Install and use Matomo on Windows IIS server
Learn how to install and use Matomo, leading free open source web analytics software, on Windows IIS server for local testing or production
-
Course by
-
Self Paced
-
3 ساعات
-
الإنجليزية
Digital Marketing Analytics in Practice
Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily.
-
Course by
-
Self Paced
-
20 ساعات
-
الإنجليزية
Digital Marketing Analytics in Theory
Successfully marketing brands today requires a well-balanced blend of art and science. This course introduces students to the science of web analytics while casting a keen eye toward the artful use of numbers found in the digital space. The goal is to provide the foundation needed to apply data analytics to real-world challenges marketers confront daily.
-
Course by
-
Self Paced
-
21 ساعات
-
الإنجليزية