Digital Marketing Strategies
Overview
- Understanding digital marketing fundamentals and channels
- Creating and executing digital marketing campaigns
- Social media marketing and engagement strategies
- Search engine optimization (SEO) and search engine marketing (SEM)
- Content marketing and email marketing
- Data analysis and performance tracking with tools like Google Analytics
- Paid advertising strategies (PPC, display ads, retargeting)
What You’ll Learn
In this course, you’ll gain a comprehensive understanding of digital marketing strategies, tools, and techniques that will enable you to effectively promote products and services online. Key topics covered include.
By the end of the course, you’ll be equipped with the skills to create effective digital marketing campaigns and drive online growth for businesses.
Job Opportunities: After completing this course, you’ll be prepared for various roles in the growing field of digital marketing, including:
- Digital Marketing Specialist
- Social Media Manager
- SEO/SEM Specialist
- Content Strategist
- PPC Manager
- Email Marketing Specialist
- Digital Marketing Analyst
- E-commerce Manager
- Marketing Coordinator
Digital marketing is an essential part of businesses today, and skilled professionals are in high demand across industries such as retail, e-commerce, technology, healthcare, and more.
Chapters
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Introduction to Digital Marketing
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Building Your Digital Marketing Plan
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Content Marketing Strategies
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Social Media Marketing
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Search Engine Optimization (SEO)
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Search Engine Marketing (SEM) and Paid Ads
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Email Marketing
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Analyzing and Measuring Campaign Success
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Mini Project
Students are required to complete 39 hours of in-class training.
39 hours
Program Summary
This table will display a summary of total instructional hours, delivery format and percentage weight for every Type of Learning entered in the List of Subjects. The ministry, career college and any subject or education assessors may refer to this section for a general understanding of the components of the program.
| Type of Learning | Total Instruction Hours | Delivery Format | % Weight |
|---|---|---|---|
| Theory | 20.00 | On-Line | 58.67% |
| Practical | 19.00 | On-Line | 41.33% |
| Total Type of Learning | 39.00 | ||
| Total Program Hours | 39.00 | 100.00% |
$CAD
Details
Certification
39 Hours
Updated: 03/01/2025
Prerequisites
If you attended a post-secondary institution after high school, we need both your high school transcript and your post-secondary transcript.
- Entry into many of our programs is competitive and your post-secondary marks can strengthen your application.
- If you did not graduate from high school and have a GED, send us a copy.
- Even if you graduated a while ago, we still need your high school transcript.
- If you cannot obtain it, let us know and we can discuss your options.
- If you studied at college or university, you must submit your post-secondary transcript AND
your high-school transcript. This may strengthen your application.
- Basic understanding of machine learning concepts.
- Familiarity with Python programming and libraries like TensorFlow or PyTorch.
- Understanding of neural networks and deep learning fundamentals.
Get In Touch or Create an Account
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