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DescriptionTake the next step in your career as behavioral analytics and storytelling professionals! Whether you're an up-and-coming behavioral analytics specialist, an experienced data analyst focusing on behavioral insights, an aspiring data scientist specializing in behavioral data analysis, or a budding storyteller in data-driven narratives, this course is an opportunity to sharpen your data processing and storytelling capabilities specific to behavioral insights, increase your efficiency for professional growth, and make a positive and lasting impact in the field of behavioral analytics and storytelling.With this course as your guide, you learn how to:● All the fundamental functions and skills required for behavioral analytics.● Transform knowledge of behavioral analytics applications and techniques, data representation and feature engineering for behavioral data, data analysis and preprocessing methods tailored to behavioral insights, and techniques specific to behavioral data narratives.● Get access to recommended templates and formats for details related to behavioral analytics techniques.● Learn from informative case studies, gaining insights into behavioral analytics and storytelling techniques for various scenarios. Understand how behavioral insights impact advancements in data visualization, with practical forms and frameworks.● Learn from informative case studies, gaining insights into behavioral analytics and storytelling techniques for various scenarios. Understand how behavioral insights impact advancements in data visualization, with practical formats and frameworks.The Frameworks of the CourseEngaging video lectures, case studies, assessments, downloadable resources, and interactive exercises. This course is designed to explore the field of behavioral analytics, covering various chapters and units. You'll delve into data representation and feature engineering for behavioral data, behavioral visualization techniques, interactive dashboards and visual analytics tailored to behavioral insights, data preprocessing, behavioral data analysis, dashboard design for behavioral analytics, advanced topics in behavioral data visualization, and future trends.The socio-cultural environment module using behavioral analytics techniques delves into sentiment analysis and opinion mining, data-driven analysis, and interactive visualization in the context of India's socio-cultural landscape. It also applies behavioral analytics to explore data preprocessing and analysis, interactive dashboards, visual analytics, and advanced topics in behavioral analytics. You'll gain insight into data-driven analysis of sentiment and opinion mining, interactive visualization, and behavioral analytics-based insights into applications and future trends of data visualization, along with a capstone project in behavioral analytics.The course includes multiple global data visualization projects, resources like formats, templates, worksheets, reading materials, quizzes, self-assessment, case studies, and assignments to nurture and upgrade your global data visualization knowledge in detail.Course Content:Part 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Behavioral Analytics1.1.1 Introduction to Behavioral Analytics1.1.2 Key Components of Behavioral Analytics include1.1.2 Continuation of Key Components of Behavioral Analytics include2. Data Collection Methods2.1.1 Data Collection Methods2.1.1 Continuation of Data Collection Methods2.1.1 Continuation of Data Collection Methods3. Data Processing and Cleaning3.1.1 Data Processing and Cleaning3.1.1 Continuation of Data Processing and Cleaning3.1.1 Continuation of Data Processing and Cleaning3.1.1 Continuation of Data Processing and Cleaning4. Descriptive Analytics4.1.1 Descriptive Analytics4.1.1 Continuation of Descriptive Analytics4.1.1 Continuation of Descriptive Analytics4.1.1 Continuation of Descriptive Analytics4.1.1 Continuation of Descriptive Analytics5. Predictive Analytics5.1.1 Predictive Analytics5.1.1 Continuation of Predictive Analytics5.1.1 Continuation of Predictive Analytics5.1.1 Continuation of Predictive Analytics6. Behavioral Segmentation6.1.1 Behavioral Segmentation6.1.1 Continuation of Behavioral Segmentation6.1.1 Continuation of Behavioral Segmentation6.1.1 Continuation of Behavioral Segmentation6.1.1 Continuation of Behavioral Analytics7. A/B Testing and Experimentation7.1.1 A B Testing and Experimentation7.1.1 Continuation of A B Testing and Experimentation7.1.1 Continuation of A B Testing and Experimentation7.1.1 Continuation of A B Testing and Experimentation8. Sentiment Analysis and Text Mining8.1.1 Sentiment Analysis and Text Mining8.1.1 Continuation of Sentiment Analysis and Text Mining8.1.1 Continuation of Sentiment Analysis and Text Mining8.11 Continuation of Sentiment Analysis and Text Mining8.1.1 Continuation of Sentiment Analysis and Text Mining9. Case Studies and Real-World Applications9.1.1 Case Studies and Real World Applications9.1.1 Continuation of Case Studies and Real World Applications9.1.1 Continuation of case Studies and Real World Applications9.1.1 Continuation of Case Studies and Real World Applications10. Future Trends in Behavioral Analytics10.1.1 Future Trends in Behavioral Analytics10.1.1 Continuation of Future Trends in Behavioral Analytics10.1.1 Continuation of Future Trends in Behavioral Analytics10.1.2 Assessment10.1.3 Understanding User Engagement on Social Media Platform10.1.4 Methodology10.1.5 Presentation of Findings10.1.5 Continuation of Presentation of Findings10.1.6 Prerequisites10.1.7 CertificationPart 3Assignments

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