Arabic Fonts & Typography

Avoiding common Arabic typography mistakes and selecting suitable fonts for digital user experiences.

Cultural Localization of Content

Understanding the differences between Classical Arabic, Simplified Modern Standard Arabic, and Neutral Colloquial Arabic, and choosing the appropriate style based on market and audience.

Defining and applying the appropriate tone of voice (formal, friendly, or playful) in alignment with the digital product context.

Advanced Linguistic Challenges

Addressing gendered language challenges by applying linguistically neutral formulations within user interfaces.

Analysis & Practical Application

Analyzing real Arabic app microcopy, evaluating its effectiveness, and rewriting it to improve clarity, usability, and user experience.

Conversion-First Thinking & Page Structure

Understanding user intent and context. - Understanding user intent and context.

Conversion-Focused Headlines & Hooks

Writing headlines that address real user needs. - Aligning headlines with traffic sources and user stages.

Writing High-Converting Copy

Message clarity and scannability. - Building a logical flow that leads users to action.

Social Proof & Credibility

Turning features into compelling benefits. - Using testimonials, metrics, and trust elements effectively.

Call-to-Action (CTA) Writing

Crafting clear & motivating CTAs.

Personalization & Multiple Copy Variants

Adapting messages based on audience and use case. - Creating copy variations for testing and optimization.

Introduction to Data Analysis and Its Role in Business

What data is and what data analysis means in simple business terms. - How organizations use data to support decisions. - The role of data analysis in performance improvement.

Introduction to Power BI and Its Business Use

What Power BI is and where it is commonly used. - Overview of the Power BI ecosystem (Desktop & Service).

Getting Data into Power BI

Importing data from Excel and CSV files. - Understanding tables and fields within Power BI. - Data types (text, numeric, date). - Previewing and reviewing data before analysis.

Data Structure Fundamentals

Rows, columns, and tables. - Best practices for organizing data correctly.

Data Cleaning Using Power Query

What Power Query is and why it matters. - Removing blank rows and duplicates. - Correcting data types and formats. - Renaming and organizing columns, applying filters and sorting. - Preparing clean, analysis-ready datasets.

««
«
5
6
7
8
9
10
11
12
13
14
15
»
»»

Courses

Digital Marketing

Social Media Marketing

Search Engine Marketing

Content Writing

Media Buying

Branding

الذكاء الإصطناعي

bundles

Course Content

Subscribe to mailing list