Certification In Behavioral Analytics

Complete guide applicable to Behavioral Analytics, Sentiment Analytics, Text Mining, AB Testing and Case Studies

What you'll learn

You will learn the key concepts in Data Visualization and Storytelling, starting with an introduction to data visualization and its foundational principles.

The course covers Behavioral analytics involves data representation and feature engineering, which are crucial for understanding and manipulating data

You will delve into data classification methods, essential for categorizing and organizing behavioral patterns.

Advanced topics and practical applications in data visualization, such as interactive dashboards and visual analytics

Data preprocessing and analysis techniques tailored for behavioral data, emphasizing their roles in understanding and manipulating behavioral patterns

Effective visualizations and crafting compelling narratives with behavioral data, along with interactive dashboards and visual analytics tools

Data visualization and storytelling techniques tailored for behavioral analytics, including methods for creating impactful visual representations

Data-driven storytelling and dashboard design specific to behavioral insights, emphasizing approaches to generate insightful visuals

Explore advanced topics in data visualization, including cutting-edge research and applications relevant to behavioral analytics.

Explore applications of data visualization in behavioral analytics, examining its role across different industries and investigating the latest advancements

Capstone project focused on addressing a comprehensive, real-world behavioral analytics challenge

Requirements

You should have an interest in behavioral analytics and storytelling and their applications.

An interest in data representation and feature engineering for behavioral data. Data classification methods for behavioral patterns.

Description

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

Overview

Section 1: 1. Introduction to Behavioral Analytics

Lecture 1 Introduction and Study Plan

Lecture 2 Course Overview

Lecture 3 Introduction to Behavioral Analytics

Lecture 4 Key Components of Behavioral Analytics include

Lecture 5 Continuation of Key Components of Behavioral Analytics include

Section 2: 2. Data Collection Methods

Lecture 6 Data Collection Methods

Lecture 7 Continuation of Data Collection Methods 1

Lecture 8 Continuation of Data Collection Methods 2

Section 3: 3. Data Processing and Cleaning

Lecture 9 Data Processing and Cleaning

Lecture 10 Continuation of Data Processing and Cleaning 1

Lecture 11 Continuation of Data Processing and Cleaning 2

Lecture 12 Continuation of Data Processing and Cleaning 3

Section 4: 4. Descriptive Analytics

Lecture 13 Descriptive Analytics

Lecture 14 Continuation of Descriptive Analytics 1

Lecture 15 Continuation of Descriptive Analytics 2

Lecture 16 Continuation of Descriptive Analytics 3

Lecture 17 Continuation of Descriptive Analytics 4

Section 5: 5. Predictive Analytics

Lecture 18 Predictive Analytics

Lecture 19 Continuation of Predictive Analytics 1

Lecture 20 Continuation of Predictive Analytics 2

Lecture 21 Continuation of Predictive Analytics 3

Section 6: 6. Behavioral Segmentation

Lecture 22 Behavioral Segmentation

Lecture 23 Continuation of Behavioral Segmentation 1

Lecture 24 Continuation of Behavioral Segmentation 2

Lecture 25 Continuation of Behavioral Segmentation 3

Lecture 26 Continuation of Behavioral Analytics

Section 7: 7. A/B Testing and Experimentation

Lecture 27 A/B Testing and Experimentation

Lecture 28 Continuation of A B Testing and Experimentation 1

Lecture 29 Continuation of A B Testing and Experimentation 2

Lecture 30 Continuation of A B Testing and Experimentation 3

Section 8: 8. Sentiment Analysis and Text Mining

Lecture 31 Sentiment Analysis and Text Mining

Lecture 32 Sentiment Analysis and Text Mining

Lecture 33 Continuation of Sentiment Analysis and Text Mining 1

Lecture 34 Continuation of Sentiment Analysis and Text Mining 2

Lecture 35 Continuation of Sentiment Analysis and Text Mining 3

Section 9: 9. Case Studies and Real-World Applications

Lecture 36 Case Studies and Real-World Applications

Lecture 37 Continuation of Case Studies and Real World Applications 1

Lecture 38 Continuation of Case Studies and Real World Applications 2

Lecture 39 Continuation of Case Studies and Real World Applications 3

Section 10: 10. Future Trends in Behavioral Analytics

Lecture 40 Future Trends in Behavioral Analytics

Lecture 41 Continuation of Future Trends in Behavioral Analytics 1

Lecture 42 Continuation of Future Trends in Behavioral Analytics 2

Lecture 43 Assessment

Lecture 44 Understanding User Engagement on Social Media Platform

Lecture 45 Methodology

Lecture 46 Presentation of Findings

Lecture 47 Continuation of Presentation of Findings

Lecture 48 Prerequisites

Lecture 49 Certification

Section 11: Assignments

Lecture 50 Assignments

Professionals with a deep understanding of behavioral analytics applications, advanced topics in behavioral analytics, and a desire to excel in the field of visual data processing and storytelling specific to behavioral insights.,New professionals aiming for success in behavioral analytics applications and the economic environment of visual storytelling in business.,Existing executive board directors, managing directors who are seeking greater engagement and innovation from their teams and organizations in the realm of behavioral analytics and storytelling technology