Digital Marketing with Data Analytics

DURATION

12 months / 48 weeks

ONLINE SESSIONS

96 (60-90 min each)

MODE

Live Online

About Course

Curriculum

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

– 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.

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FAQs

The key highlights of the 12 months Executive Diploma course include advanced strategic marketing expertise, sophisticated data analytics mastery, career advancement and leadership preparedness, specialization opportunities, networking and industry insights, ethical considerations and compliance, and comprehensive skill development.

The course is designed to equip participants with advanced strategic marketing skills, focusing on advanced marketing planning, brand management, customer engagement strategies, and advanced digital marketing campaign management, positioning them for leadership roles in the digital marketing landscape.

The program covers advanced expertise in utilizing data analytics for marketing, including advanced customer insights, market segmentation, advanced predictive analytics, and leveraging data for strategic marketing decision-making.

The course comprehensively addresses ethical considerations in digital marketing and data analytics, ensuring participants understand the ethical implications of data usage, privacy concerns, and compliance with industry regulations, standards, and best practices, preparing them for ethical leadership in the industry.

Participants will have the opportunity to engage with industry experts, gaining valuable networking opportunities within the digital marketing and data analytics community, and gaining insights into industry best practices, case studies, and emerging trends, facilitating their transition into leadership roles.

The program allows participants to specialize in specific areas of digital marketing and data analytics, aligning their expertise with industry demands and emerging trends, and positioning them for specialized and high-level roles in the industry.

Participants will engage in hands-on projects and advanced practical assignments, honing their ability to apply cutting-edge digital marketing and data analytics techniques to real-world scenarios, fostering problem-solving and critical thinking skills.

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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Digital Marketing with Data Analytics