The course links the fundamentals of digital marketing to advanced AI tools and techniques, all aimed at enhancing marketing strategies by leveraging data-driven insights, automation, and personalization. Students will study how AI is really changing conventional marketing—through better decision making, improved customer experience, and increased efficiency.
Ranges from AI-driven marketing strategies and automation for analytics through content creation and personalization. On a balanced note, this course has theoretical thoughts and practical implementation.
Includes real-world projects and case studies where AI tools and techniques are applied in various digital marketing scenarios. Practical exercises are done with popular AI platforms and tools that are used in the industry.
It is taught by industry professionals having a huge experience in AI and digital marketing. Guest lectures would take place on AI experts and leaders in digital marketing.
Practical training with various AI tools like machine learning models, chatbots, data analytics platforms, and automation tools. Insights will also be provided on how to integrate the AI tools into your existing digital marketing strategies.
The course provides for different learning paces, with more resources being available to students who might need to extend their interests in some subjects. Personalized in-depth feedback on papers and projects.
Access to a community of like-minded peers and professionals that will enable one to network and find collaboration. Be involved in group discussions, share what's on your mind, and get support from instructors and fellow students.
Comprehensive Curriculum
Hands-on Projects
Expert Instructors
Interactive Learning
Industry-Relevant Tools
Flexible Learning
Certification
Networking Opportunities
Career Support
Resource-Rich Environment
Continuous Assessment
Lifelong Learning Access
College students who want to start a career in digital marketing
Professionals who want to switch their careers to digital marketing
Entrepreneurs and agency owners looking to grow their brand and generate leads on digital platforms.
Coaches and trainers who want to grow their training business online and generate more enrollments
Homepreneurs who want to upskill themselves in digital marketing and generate passive income
Freelancers looking to gain more clients and generate steady income
Introduction to Data Analytics
Overview of Data Analytics
Importance and Applications of Data Analytics
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data Collection Methods
Data Sources: Primary vs. Secondary
Data Collection Techniques
Surveys and Questionnaires
Web Scraping
Data Integrity and Quality
Data Cleaning and Preprocessing
Handling Missing Values
Data Transformation and Normalization
Removing Duplicates
Outlier Detection and Treatment
Data Integration
Exploratory Data Analysis
Descriptive Statistics
Data Summarization Techniques
Data Visualization Tools (e.g., Matplotlib, Seaborn)
Identifying Patterns and Trends
Hypothesis Testing
Data Visualization Techniques
Principles of Effective Data Visualization
Creating Charts and Graphs (e.g., Bar, Line, Pie, Histogram)
Dashboard Design
Tools: Tableau, Power BI, D3.js
Storytelling with Data
Statistical Analysis Fundamentals
Probability Theory
Distributions (Normal, Binomial, Poisson)
Inferential Statistics
Correlation vs. Causation
Hypothesis Testing and Confidence Intervals
Advanced Javascript
Data Mining Concepts and Techniques
Association Rule Learning
Clustering Methods (e.g., K-Means, Hierarchical)
Classification Algorithms (e.g., Decision Trees, SVM)
Evaluation Metrics
Machine Learning Basics
Supervised vs. Unsupervised Learning
Regression Analysis
Introduction to Neural Networks
Model Training and Evaluation
Overfitting and Underfitting
Predictive Modeling
Building Predictive Models
Time Series Analysis
Regression Techniques (e.g., Linear, Logistic)
Model Validation and Testing
Real-World Applications
Big Data Concepts
Introduction to Big Data
Hadoop Ecosystem
MapReduce
NoSQL Databases (e.g., MongoDB, Cassandra)
Real-Time Data Processing
Data Analytics Tools and Technologies
Overview of Data Analytics Tools
SQL and Databases
Python for Data Analysis (Pandas, NumPy)
R Programming
Cloud-Based Analytics Solutions
Data-Driven Decision Making
Importance of Data in Decision Making
Creating Data-Driven Strategies
Case Studies
Ethical Considerations
Communicating Insights to Stakeholders
Capstone Project and Presentation
Project Planning and Execution
Data Collection and Analysis
Building Models and Visualizations
Preparing a Report
Presenting Findings and Insights
Improved Career Prospects
Increased Earning Potential
Enhanced Problem-Solving Skills
Better Communication Skills
Flexibility and Adaptability
Improved Productivity
Enhanced Creativity
Data-Driven Decision Making
Competitive Advantage
Personal Satisfaction and Confidence
Programming Languages
Become a versatile developer proficient in both front-end and back-end technologies.
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Programming Language
Master Java programming to build robust, high-performance applications.
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Programming Language
Harness the power of data analytics to drive informed business decisions.
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Learn Python, the versatile language for automation, data analysis, and more.
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Programming Language
Boost your online presence and engagement with cutting-edge digital marketing strategies.
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Programming Language
Enhance your productivity with expert skills in Microsoft Office applications.
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Masterclass Graphic Design Course: Photoshop, Illustrator, InDesign, Design Theory, Branding, Logo Design
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Want very first to master AI-driven marketing Our course will train you artificial intelligence engage with your customers effectively, optimize campaign strategies.
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Enrich your understanding of Artificial Intelligence through our course, tailor-made to arm you with relevant skills and knowledge in the fast-evolving area.
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