– 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

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

– 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