Digital Marketing with Data Analytics
Professional Edge Diploma
About Program
Program Overview
As part of the immersive Digital Marketing with Data Analytics Program, students will engage in a three-month internship and concurrent capstone project tailored to their chosen area of interest within the digital marketing and data analytics field. The internship and capstone project integration aims to bridge the gap between academic learning and real-world application, preparing students for successful careers in digital marketing and data analytics. This practical experience will further solidify their understanding of industry practices and set the foundation for a successful transition into the professional landscape.
Benefits
- Practical Exposure to Industry Environments and Projects
- Enhanced Problem-solving and Critical-thinking Skills
- Networking Opportunities and Industry Connections
- Real-world Project Experience for the Resume/Portfolio
- Opportunity to Make Meaningful Contributions to the Organization
- Integration of Learning with Hands-on Experience
- Development of Professional Skills and Work Ethics
Internship
Duration: 3 months (full-time or part-time based on the requirements and feasibility)
- Placement in Reputable Industry Organizations or Institutions
- Hands-on Experience in Digital Marketing, Data Analytics, or Related Areas
- Mentorship and Guidance from Experienced Professionals
- Exposure to Real Industry Challenges and Projects
- Integration of Theoretical Knowledge into Practical Applications
- Opportunity to Work on Live Projects and Contribute to the Organization
Capstone Project:
Duration: Concurrent with the internship period
- Application of Digital Marketing and Data Analytics Skills to Solve Innovative Solutions
- Guided by Program Instructors and Industry Mentors
- In-depth Exploration of the Chosen Area of Interest
- Development of a Comprehensive Project Report and Presentation
- Emphasis on Innovation, Creativity, and Practical Implementation
- Showcasing the Ability to Address Complex Challenges using Digital Marketing Tools and Techniques
Curriculum
Duration: 18 Months Course (72 weeks/120 sessions of 90-120 minutes each) plus 3-month Internship
Chapters & Topics
– Significance of Digital Marketing
– Key Channels and Platforms
– Data Analytics and its Role in Digital Marketing
– Data Collection Methods and Analytics Tools
– Set up and navigate through Google Analytics
– Website Traffic and User Behavior Analysis
– Keyword Research and On-page Optimization
– Link Building and Off-page SEO Strategies
– Understand PPC Advertising
– Set-up and Manage Google Ads Campaigns Effectively
– PPC Analytics and Optimization
– Implement A/B testing for PPC Ads
– Develop a Social Media Marketing Plan
– Role of Social Media Platforms in Marketing.
– Social Media Analytics Tools for Campaign Performance (Hootsuite, Buffer)
– Recap, Project, Assessment and Certification
– Building Effective Email Marketing Campaigns
– Develop Email Content Marketing Strategy
– Email Automation Tools for Effective Engagement
(Mailchimp, Sendinblue, Campaign Monitor)
– Performance Metrics Analysis
– Advanced Targeting and Audience Segmentation
– Content Marketing Optimization
– Influencer Marketing Strategies
– Data Privacy and GDPR-compliant Marketing Practices
– Develop E-commerce Marketing Strategies
– Analyze E-commerce Data for Performance Optimization
– Understand the Principles of Conversion Rate Optimization (CRO) for E-commerce
– Implement A/B testing and CRO strategies.
– Explore Advanced Digital Marketing Tools (SEMrush, HubSpot)
– Keyword Research and Analysis (Ahrefs, SpyFu)
– Affiliate Marketing Programs
– Recap, Assessment and Certification
– Predictive Analytics for Marketing (SAS Advanced Analytics, Optimove)
– A/B Testing and Multivariate Analysis (Optimizely, Unbounce)
– Data Visualization Tools for Marketing (Tableau, Google Data Studio)
– Recap, Project, Assessment and Certification
– Introduction to AI in Digital Marketing
– Introduction to AI in Data Analytics
– AI-Powered Tools and Technologies for Digital Marketing (Sprout Social, Intercom)
– Advanced AI Techniques for Data-Driven Marketing Strategies
– Explore Advanced Marketing Analytics Tools and Platforms (Google Analytics, Heap)
– Leverage AI and Machine Learning for Marketing Insights
– Apply Machine Learning Algorithms to Marketing Data
– Predictive Modeling for Customer Behavior Analysis
– Develop Mobile Marketing Campaigns for Apps and Websites
– Role of Mobile Marketing in the Customer Journey
– Analyze App User Data for Marketing Insights and Optimize Startegies
– Recap, Project, Assessment and Certification
– Soft Skills Development
– Networking strategies and building a professional online presence
– Address Specific Career Goals and Valuable Advice for Navigating the Job Market
– Professional Resume and Interview Preperation
– Job Assistance through Medh Placement Cell
(Detailed Coverage in Weeks 49-60)
Elective – 1: Advanced Social Media Marketing Analytics
– Advanced Analytics for Social Media Platforms (Facebook, Instagram, Twitter, LinkedIn, TikTok
– Influencer Analytics and ROI Measurement
– Sentiment Analysis and Consumer Perception
– Social Listening and Audience Insights
– Advanced Analytics for Social Media Platforms (Facebook, Instagram, Twitter, LinkedIn, Youtube)
– Influencer Analytics and ROI Measurement
– Sentiment Analysis and Consumer Perception
– Social Listening and Audience Insights
– Integrating Social Media Data with Overall Marketing Data
– Predictive Analytics for Social Media Trends
– Tools and Technologies: Google Analytics, Hootsuite Insights, BuzzSumo, Sprout Social, Brandwatch
– End-to-End Capstone Project
Elective – 2: D2C Digital Marketing and Analytics
– Understanding the D2C Customer Journey
– Building a D2C Brand – Brand Positioning and Value Proposition
– Content Strategy for D2C Brands (Tools: Canva, HubSpot)
– D2C Marketing Channels (Social Media, Influencer Marketing and Partnerships)
– Effective Email Marketing and Automation
– Paid Advertising and SEO for D2C
– SEO for D2C Brands (On-Page and Off-Page)
– Data Analytics and Visualization
– Tools and Technologies: SEMrush, Ahrefs, HubSpot, Canva, Hootsuite, Buffer, Google Ads Manager, Facebook Business Manager, Mailchimp, SendinBlue, Google Analytics, Google Data Studio, Tableau, Power BI
– End-to-End Capstone Project
Elective – 3: Data Visualization in Digital Marketing
– Exploring Data Visualization and its Benefits in Digital Marketing
– Understanding Data and Metrics in Digital Marketing
– Visual Storytelling and Dashboard Design
– Advanced Visualization Techniques
– Data Visualization for Marketing Analytics
– Communicating Insights to Stakeholders
– Tools and Technologies: Tableau, Power BI, Google Data Studio, Microsoft Excel (Advanced Functions); Infogram
– End-to-End Capstone Project and Deployment Considerations
Aligning with Industry Standards
– Website Analytics and SEO (Google Analytics, Google Search Console, SEMrush, Ahrefs, and Yoast SEO)
– Pay-Per-Click (PPC) Advertising (Google Ads, Google Keyword Planner, Google Optimize, and SEMrush)
– Social Media Marketing (SMM) – (Buffer, Sprout Social, Facebook Business Manager, Twitter Analytics, and Instagram Insights)
– Email Marketing, Content Strategy, and Automation (Mailchimp, SendinBlue, and Campaign Monitor)
– Advanced Social Media Marketing (Hootsuite, BuzzSumo, Facebook Audience Insights, and GDPR Compliance Tools)
– GDPR Compliance Tools (Iubenda/Cookiebot)
– E-commerce Marketing and Analytics (Shopify, WooCommerce, Hotjar, and Optimizely or VWO-Visual Website Optimizer)
– Advanced Digital Marketing Tools and Strategies (HubSpot, SpyFu, and Canva)
– Affiliate Marketing Programs (Impact Radius or ShareASale)
– Additional Tools and Technologies (Grammarly, Trello or Asana, Slack, WordPress, and Google Tag Manager)
– Predictive Analytics for Marketing (SAS Advanced Analytics and Optimove)
– A/B Testing and Multivariate Analysis (Optimizely and Unbounce)
– Data Visualization Tools for Marketing (Tableau, Power BI, Micrsoft Advanced Excel, Infogram, and Google Data Studio)
– AI for Digital Marketing & Data Analytics (HubSpot and Salesforce Einstein)
– AI-Powered Tools and Technologies for Digital Marketing (Sprout Social and Intercom)
– Advanced Analytics Tools and Machine Learning (ML) – (Heap)
– Leverage AI and Machine Learning for Marketing Insights (IBM Watson Marketing and Adobe Sensei)
– Apply Machine Learning Algorithms to Marketing Data (RapidMiner, and Python Libraries – Scikit-Learn, TensorFlow)
– Mobile Marketing and App Analytics (Firebase, Adobe Marketing Cloud, and Branch)
– Analyze App User Data for Marketing Insights (App Annies and Mixpanel)
– Real-world Experience in a Corporate Setting
– Application of Skills Learned during the Program
– Regular Mentorship and Progress Reviews by Industry Experts
– Recap, Assessment and Final Certification
Guaranteed Employment or Your Program Fee Will Be Refunded
– Weekly Quizzes to Gauge Comprehension of Key Concepts
– Practical Hands-on Assignments and Thorough Evaluation
– Active Engagement in Group Discussions
– Capstone Project
– Certification Upon Program Completion
– Medh Alumini Status and Networking Opportunities
– Access to an Extensive ‘Medh Alumni Network’ for Professional Connections and Mentorship
– Career Advancement Resources and Job Opportunities within the ‘Medh Alumni Community’
– Continued Learning through ‘Medh-Alumni-Exclusive’ Webinars and Industry Insights
-Networking Events to Foster Connections with Fellow Alumni and Industry Professionals
Note: This curriculum is subject to minor modifications based on the class progress and feedback. Each course is designed to incorporate a mix of interactive activities, case studies, role plays, and reflective exercises to cater to the specific needs and developmental milestones of the respective age group.
FAQs
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