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Specialization

Data Analytics Specialization

Develop the skills to turn raw data into meaningful insights. Learn how to collect, clean, analyze, and visualize data using essential tools and techniques. Build the ability to interpret trends, support decision-making, and communicate findings in a clear, impactful way.

3 Months to finish
840 Lessons
3 Certificates
9 Learners
sprintup-plus.sprintup

What you will learn in this specialization (3 Journeys)?

AI Specialization is a structured learning path designed to help you master a specific skill step by step.

Develop the skills to turn raw data into meaningful insights. Learn how to collect, clean, analyze, and visualize data using essential tools and techniques. Build the ability to interpret trends, support decision-making, and communicate findings in a clear, impactful way.

Skills you'll gain

AI and Data Fundamentals Data Analytics & Visualization Employability Kit
check

Earn your certificates

Complete the specialization to prepare for the professional certification exam.

check AI and Data Fundamentals
check Data Analytics & Visualization
check Employability Kit
check

Career Path

This specialization equips you with the skills you need to succeed in your career.

How would you like to pay?

Both options give you full access to the entire specialization. Choose the payment method that works best for you.

Pay once for 20 L.E

By enrolling, you'll gain access to the entire Data Analytics Specialization, not just this course.

Frequently Asked Questions

How does payment work?

Each program is pay-as-you-go: 899 EGP/month. You can enroll in Product & Design, or later choose other advanced programs like AI & Data, AI for Everyone, or Web Development.

How long does it take?

240 hours (~12 weeks at 20 hours/week).

Who is it for?

SprintUp Plus is for advanced learners, not beginners. If you’re starting from zero, we recommend SprintUp (40-hour beginner programs).

Do I get a certificate?

Yes, but more importantly, you’ll leave with advanced, practical skills that employers value.

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