Digital Marketing
This course is designed to provide an in-depth understanding of digital marketing and its applications in the modern business landscape.
Enrollment
Pre-register yourself for the next cohort
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
Certification 1
Certification 2
Certification 1
Module 1
Module 2
Module 3
Module 4
Module 5
Module 1
Facebook Marketing
- How To Create A Facebook Page
- How To Create A Facebook Profile Image
- How To Design A Facebook Cover Image
- How to Update your Pages Info And Preferences
- How To Promote Your Page And Get Likes & Engagement
- What Is The Difference Between Likes and Followers
- Facebook Insights – Learn Who Your Audience Are
Module 2
Facebook Ads – The Basics
- How Powerful Are Facebook Ads?
- How Do Facebook Ads Work – The Auction
- How To Set Up Your Facebook Advertising Account
- Get To Grips With These Facebook Ad Policies
- The 2 Options You Have When It Comes To Running Facebook Ads
- Facebook Ad Structure
Module 3
Facebook Ads – Ad Creation
- Creating Your First Ad – Campaign Objectives
- Budget & Schedule
- Audience Targeting – Location, Age & Gender
- Detailed Targeting – Demographics
- Detailed Targeting – Interest
- Detailed Targeting – Behaviours and Connections
- Placements + Optimisation and Delivery
- Facebook Ad Creatives – Best Practices
- Creating Your Facebook Ad Creative
- How To Set Up A Simple A/B Split Test
Module 4
Facebook Ads – Dynamics
- Everything You Need To Know About The Facebook Pixel
- Custom Audiences – Website Visitors
- How To Create A Business Manager Account
- Custom Audiences – Customer/ Email List
- Custom Audiences – Facebook Page
- Custom Audiences – Lookalike Audiences
Module 5
Facebook Ads – Additional Campaign Objectives
- Why You Should Consider Using Video Ad
- How To Create Effective Video Ads Campaigns
- How To Create Lead Ad Campaigns
Certification 2
Module 1
Module 2
Module 3
Module 4
Module 5
Module 6
Module 7
Module 8
Module 1
Basics/Accout Setup
- Google Account Hierarchy
- Setting Up Your First Google Ads Account
- Location Targeting
- Budgets and Selecting Your Bidding Strategy
- Setting Up Billing
Module 2
Keyword Research for Google Ads
- How To Find Keywords To Target – Related Website URL
- How To Find Keywords To Target – Keyword Planner
- How To Find Keywords To Target – SEMRush
- How To Organise Your Keywords By Themes
- Everything You Need To Know About Keyword Match Types
- How To Add Match Types To Your Keywords Like A Pro
- The Importance Of Negative Keywords & How To Add Them To Your Account
Module 3
Creating Your Ads
- The Evolution Of How Ads Appear In Google
- Best Practices for Writing Killer Ad Text
- How To Create Your First Google Ad
- Ad Rotation – Everything You Need To Know
- Ad Schedule – How To Select The Days & Times You Want Your Ads To Show
Module 4
Biding Strategies Explained
- Target CPA
- Target ROAS
- Maximize Clicks
- Maximize Conversions
- Target Impression Share
- Manual CPC & Enhanced CPC
Module 5
Google Ads – Dynamics
- Understanding Quality Score
- The 4 Components That Make Up Quality Score
- Understanding Ad Rank and How It Is Calculated
- How Google Determines How Much You Pay Per Click
- When You Can Ignore Low Quality Scores (and when you can’t)
Module 6
Ad Extensions
- What Are Ad Extensions & The Benefits Of Using Them
- The Different Types Of Ad Extensions You Can Use
- How To Add Sitelink Extensions To Your Ads
- How To Add Callout Extensions To Your Ads
- How To Add Call Extensions To Your Ads
- How To Add Location Extensions To Your Ads
- Things To Bear In Mind When Using Ad Extensions
Module 7
Conversion Tracking
- Understanding The Basics Of Conversion Tracking & Its Benefits
- The Two Main Types Of Conversions You Can Use
- How To Set Up Conversion Tracking For Form Submissions
- How To Set Up Conversion Tracking For Phone Calls
- How to Set Up Ecommerce Tracking in Google Analytics
Module 8
Campaign Optimization
- Optimising Your Ads Based On Keyword Data
- Optimising Your Ads Based On Ad Data
- Optimising Your Ads Based On Devices
- Optimising Your Ads Based On Specific Times & Days
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
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
Frequently Asked Questions
The monthly fee for the courses is Rs 2000 and the registration fee is Rs 500 (it is non-refundable)
Yes, you will receive an international certificate after completing the course.
The eligibility criteria for the courses are age 22-35, unemployed, graduate, available for a full-time job after completion, basic English comprehension, preferably tech background, and computer skills.
Instructors
