Digital Marketing Course in Pakistan
Master the Future of Online Business with Our All-in-One Digital Marketing Course in Pakistan – From SEO to Social Media, Learn It All!
Enrolment
Click on Start Making Money to register for the program
Program Duration
5 months
Learning Format
Online
What You Will Learn in Digital Marketing Course
- Learn How To Set Up Your First Google and Facebook AD Account
- Understand What Keywords are and what you can target for your Business
- Learn What Match Types Are And How They Can Save You Tons Of Money
- Learn How To Write Killer Ads That Generate Clicks
- Understanding Bidding Strategies
- Become A Master With Ad Extensions
- How To Set Up and Track Conversions
- How To Optimise Your Ad Campaigns
- Create your first Facebook ad campaign from scratch
- Define your target audience (audience targeting)
- Set up a simple A/B split test and custom audiences
- Learn how to set up Facebook conversion tracking (Facebook pixel)
- Learn how to set up video ad campaigns
Course Syllabus
Module 1
Module 2
Module 3
Module 4
Module 1
- Introduction to Meta Ads & Meta Algorithm
- Page & Business Manager Creation
- Pixel , Catalog, Domain & Events Setup
- Meta Dashboard Learning
- Meta Campaign Creation Creating Custom & Lookalike Audience
Module 2
- Ads Funnel Understanding & Creative Testing
- Basic Meta Ads Strategy
- Meta Ads Optimization Creating
- Custom Audience Campaigns
- Scaling of Meta Campaigns
- Introduction to Google Ads
Module 3
- Google Ad Account Creation
- Google Tag, Custom Goals Setup
- Google Ads Dashboard Learning
- UX Testing Methods and Usability Testing
- Google PPC Campaign Creation
- Google Custom Audiences
Module 4
- Learning About Ecommerce
- Branding
- Website CRO & Ideal Landing Page
- Shopify Store Creation
- Introduction to Meta Ads & Meta Algorithm
- Page & Business Manager Creation
- Pixel , Catalog, Domain & Events Setup
- Meta Dashboard Learning
- Meta Campaign Creation Creating Custom & Lookalike Audience
- Ads Funnel Understanding & Creative Testing
- Basic Meta Ads Strategy
- Meta Ads Optimization Creating
- Custom Audience Campaigns
- Scaling of Meta Campaigns
- Introduction to Google Ads
- Google Ad Account Creation
- Google Tag, Custom Goals Setup
- Google Ads Dashboard Learning
- UX Testing Methods and Usability Testing
- Google PPC Campaign Creation
- Google Custom Audiences
- Learning About Ecommerce
- Branding
- Website CRO & Ideal Landing Page
- Shopify Store Creation
Program Offerings
Practical Skills
You will learn practical skills in emerging careers that make you more valuable and appealing to employers
Projects
You will acquire the knowledge to create portfolio-worthy projects showcasing your skills
Mentorship
Seasoned professionals will provide support to navigate career paths and focus on skills development.
Certification
Earn an Industry-Recognized Certificate
Complete our program and receive a professional certificate to showcase your skills.
Add it to your LinkedIn profile, resume, or CV to highlight your commitment to growth and stand out in the job market.
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Module 7
- Week 9
Clean Data, Assignment Prep
Module 8
- Week 10
Cleaning Data with SQL, Verify and Report Cleaning Results
Module 9
- Week 11
Adding Data to Resume + Course Challenge
Module 10
- Week 12
Organizing Data to Begin Analysis, Formatting and Adjusting Data
Module 11
- Week 13
Aggregating Data for Analysis, Performing Data Calculations
Module 12
- Week 14
Visualizing Data, Creating Data Visualizations with Tableau
Module 13
- Week 15
Crafting Data Stories, Developing Presentations and Slideshows
Module 14
- Week 16
Programming and Data Analytics, Programming using R Studio
Module 15
- Week 17
Working with Data in R, More About Visualizations, Aesthetics and Annotations
Module 16
- Week 18
Documentation and Reports, Learn About Capstone Basics
Module 17
- Week 19
Building Your Portfolio + Using Your Portfolioo
Module 18
- Weeks 20 & 21
Putting Your Certificate to Work
Module 19
- Weeks 22 & 23
Introduction to Probability and Data with R
Module 20
- Weeks 24 & 25
Inferential Statistics
Module 21
- Weeks 26 & 27
Linear Regression and Modelling
Module 22
- Weeks 28 & 29
Bayesian Statistics
Module 23
- Weeks 30
Statistics with R Capstone (Final Project)
Module 24
- Weeks 31
Job - Interview Mocking and Training
Instructors
Mustufa Burma
Mustufa Burma is a technologist who has spent over 5+ years enabling businesses to deploy emerging technologies in order to drive better performance for their marketing initiatives. He has worked for several exciting brands and reputable companies including the OLX, YouTube, Nestle, Unilever and Phillip Morris Pakistan. Currently, he is associated with Ogilvy Africa leading their Social & Performance division for the West African region. Proud geeky GenZer, Mustufa has been working on several technologies such as Oracle 11G, AR using Unity & Meta Spark Studio, OpenCV and Python. He has also worked in academia to teach Database Management System and Natural Language Processing using DialogFlow at some of the reputed universities in South Asia.
Qamar Khan
He is a Data-Driven Performance Marketer with over 3 years of experience. He has been instrumental in assisting brands to achieve 8-Figure scales with up to 10x ROI. Presently, he holds the responsibility of overseeing prominent E-commerce brands in Pakistan. His primary areas of expertise encompass Meta Ads, Google Ads, TikTok Ads, and Snapchat Ads.
Weekly Class Schedule
Here’s the tentative schedule for your course in the program. It’s designed to give you a clear understanding of what to expect. Please note that changes might occur, so consider this a general guide and stay updated for any revisions.
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Frequently Asked Questions
We provide three payment methods to eligible applicants:
Standard: A total fee of PKR 30,000, with an initial non-refundable registration fee of PKR 3,000. The remaining PKR 27,000 is payable in installments over 4-5 months.
Scholarship: A non-refundable registration fee of PKR 1,000 is required to apply. IEC offers a 50% scholarship on the course fee, you’ll pay PKR 15,000 during the course and the remaining PKR 50,000 in easy monthly installments after securing a job post-graduation.
Zakat: A non-refundable registration fee of PKR 500, with eligibility determined based on Islamic criteria.
Our programs are open to university students, recent graduates, and anyone passionate about learning and growing in the tech field.
The enrollment process at IEC is straightforward:
- Complete the application form
- Take an assessment test
- Undergo document verification
- Pay the registration fee
- Finalize enrollment
Professional development includes improving soft skills, creating a standout resume, optimizing your LinkedIn profile, and receiving mentorship to better prepare for the job market. IEC offers comprehensive support in all these areas through the best online courses in Pakistan.
