Digital Marketing
Build confidence and capability to apply modern marketing strategies in your career, driving growth with comprehensive, multichannel campaigns.
Course Overview
This course will equip you with the skills you need to be a productive and an effective marketer and keep pace with an evolving digital landscape. You’ll learn current tools and best practices to drive sales leads, boost customer engagement, and help your brand stand out in a crowded market. This is a beginner-friendly course with no prerequisites required.
Program Eligibility
- A good working laptop (8gb RAM or above, 1TB HDD or 256 SSD)
- A stable internet connection
- A serene environment for virtual sessions
- Ability to pursue the program on a full-time basis
- Prior expression of leadership potential
Our global partners enable us to offer world-class data and leadership programs to Fellows from underserved communities, all at no tuition cost.
Testimonials
Job Opportunities
Job opportunities you can apply for at the end of the training includes:
- Digital Marketer
- Social Media Manager
- Email Marketing Specialist
- Paid Advertising Specialist (PPC Specialist)
- SEO Specialist/SEO Analyst
- Content Marketing Manager
- Digital Analytics Specialist, etc.
Our Three Pillars
Blended Peer Learning
You will be placed in small groups to work together as a team and complete academic goals in real-time virtual classrooms and during in-person sessions; which has goals at the individual and group level.
Mentor-Based Learning
A mentor will be available at all times during office hours to provide help and evaluate your work. We offer you a supportive and engaging work environment, where you can feel free to make mistakes and learn.
Projects-Based Learning
Our learning methodology focuses 100% on the needs of today’s market. You will work on real-world projects similar to those you’ll find on the job and complete them using the same tools used by professionals.
Our Admission Process
Submit your application. Share a bit about yourself and what's driving you to start a career in data science.
Complete a short critical thinking and problem-solving assessment. This allows us to assess your aptitude for data.
Speak with an Admissions representative in a non-technical interview. This is an opportunity for us to get to know each other a little better. Nothing technical - just a friendly conversation.
Receive your acceptance decision from Admissions. This usually happens within 3 business days.
If accepted, you'll begin course pre-work to prepare for the first day of class. Our data courses pre-work consists of 20-40 hours of lessons and labs covering the basics of Python (including loops and functions), statistical measures such as central tendency and dispersion, and building data visualizations using matplotlib and seaborn