Brand Identity and Strategy

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Brand Identity and Strategy

Coursera · Beginner ·🔄 Data Engineering ·3mo ago

Key Takeaways

Develops a brand identity and strategy by understanding brand concepts, segmenting consumers, and positioning

Original Description

Brand identity and Strategy is a IE Business School course for those professionals who are ready to adopt a creative approach to empowering brands. Students will go through a journey that starts with understanding what a brand is and how they can build successful ones, whilst simultaneously segmenting their consumers appropriately. The course explores positioning and its importance to successful brands looking at perceptual maps and the well-known iceberg model. It culminates in development of real brand houses, which can be applied to the working world, and how picking the right name, colors and logo can be instrumental to a brand’s success. The course is delivered by Rhodes Scholar winning Professor, Dr Maria Eizaguirre, a member of IE Business School’s faculty.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
I Built My Second ETL Pipeline. This Time, I Started Thinking Like a Data Engineer
Learn how to build a production-ready ETL pipeline with Python, Docker, PostgreSQL, and Kestra by thinking like a data engineer
Towards Data Science
📰
JuiceFS Sync for PB-Scale Data Transfers: Resumable Sync, Encryption, and Bandwidth Control
Learn how to efficiently transfer large volumes of data using JuiceFS Sync, which offers resumable sync, encryption, and bandwidth control, ideal for PB-scale data transfers.
Dev.to AI
📰
How Airflow is using AI to make data engineering more resilient, not more complex
Airflow uses AI to make data engineering more resilient by detecting data drift, resuming failed pipelines, and fixing issues automatically, reducing complexity and improving reliability.
Medium · AI
📰
What Can We Do When Memory Becomes the New Bottleneck in Data Engineering?
Learn how to overcome memory bottlenecks in data engineering using Pandas chunking, Dask, and Polars, and why it matters for processing large datasets
Towards Data Science
Up next
A Moment Frozen in Time | Arnav Iyengar | TEDxJenks Youth
TEDx Talks
Watch →