Digital Marketing with Data Analytics
Executive Diploma
About Program
Curriculum
Duration: 12 Months Course (48 weeks/ 96 sessions of 60-90 minutes each)
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
– 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
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 Courses (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 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)
– 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
– Weekly quizzes to gauge comprehension of key concepts
– Practical Hands-on Assignments and Thorough Evaluation
– Active Engagement in Group Discussions
– Capstone Project
– Certification Upon Course 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
Note: If you have any other questions or concerns not covered in the FAQs, please feel free to contact our support team, and we’ll be happy to assist you!
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