Digital Marketing

This course is designed to provide an in-depth understanding of digital marketing and its applications in the modern business landscape.

digital-marketing

Certification

Learn US-Based Verified $5,000 Certifications at Only 2% of the Actual Price!

Program Duration

5 months

Learning Format

Online

What You Will Learn

  • 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

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

Experts working in the industry will mentor you in becoming successful professionals with leadership skills

Certification

Earn two career certificates

Include this achievement on your LinkedIn profile, resume, or CV as a testament to your professional growth and development.

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

Job - Interview Mocking and Training

Module 7

Clean Data, Assignment Prep

Module 8

Cleaning Data with SQL, Verify and Report Cleaning Results

Module 9

Adding Data to Resume + Course Challenge

Module 10

Organizing Data to Begin Analysis, Formatting and Adjusting Data

Module 11

Aggregating Data for Analysis, Performing Data Calculations

Module 12

Visualizing Data, Creating Data Visualizations with Tableau

Module 13

Crafting Data Stories, Developing Presentations and Slideshows

Module 14

Programming and Data Analytics, Programming using R Studio

Module 15

Working with Data in R, More About Visualizations, Aesthetics and Annotations

Module 16

Documentation and Reports, Learn About Capstone Basics

Module 17

Building Your Portfolio + Using Your Portfolioo

Module 18

Putting Your Certificate to Work

Module 19

Introduction to Probability and Data with R

Module 20

Inferential Statistics

Module 21

Linear Regression and Modelling

Module 22

Bayesian Statistics

Module 23

Statistics with R Capstone (Final Project)

Module 24

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. In his past roles, Mustufa has worked in leading agencies of Pakistan leading their data-led planning function. Being a technologist at heart and planner by profession, Mustufa brings the science of data to his art of insight generation. 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.

Frequently Asked Questions

Students must agree to one of the two following non-refundable fee options:

Our Standard Fee Structure includes a registration fee of RS 3,000, which is required for onboarding. The remaining course fee of RS 27,000 will be paid during the first three months of the course.

For those in need, we offer a Scholarship opportunity by following the steps of an RS 500 payment, verification of your fee, and documents to confirm your financial status. Students will have to sign the LEC (Learn, Earn, and Contribute) agreement. This agreement commits the student to pay RS 50,000 in monthly installments after graduation and securing a job.

If you are 18+ of age, you can apply.