Certification in Behavioral Analytics
Certification in Behavioral Analytics, available at $44.99, has an average rating of 5, with 50 lectures, based on 11 reviews, and has 1010 subscribers.
You will learn about 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 This course is ideal for individuals who are 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. or New professionals aiming for success in behavioral analytics applications and the economic environment of visual storytelling in business. or 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 It is particularly useful for 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. or New professionals aiming for success in behavioral analytics applications and the economic environment of visual storytelling in business. or 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.
Enroll now: Certification in Behavioral Analytics
Summary
Title: Certification in Behavioral Analytics
Price: $44.99
Average Rating: 5
Number of Lectures: 50
Number of Published Lectures: 50
Number of Curriculum Items: 50
Number of Published Curriculum Objects: 50
Original Price: $149.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
Description
Take 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 Course
Engaging 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 1
Introduction and Study Plan
● Introduction and know your Instructor
● Study Plan and Structure of the Course
1. Introduction to Behavioral Analytics
1.1.1 Introduction to Behavioral Analytics
1.1.2 Key Components of Behavioral Analytics include
1.1.2 Continuation of Key Components of Behavioral Analytics include
2. Data Collection Methods
2.1.1 Data Collection Methods
2.1.1 Continuation of Data Collection Methods
2.1.1 Continuation of Data Collection Methods
3. Data Processing and Cleaning
3.1.1 Data Processing and Cleaning
3.1.1 Continuation of Data Processing and Cleaning
3.1.1 Continuation of Data Processing and Cleaning
3.1.1 Continuation of Data Processing and Cleaning
4. Descriptive Analytics
4.1.1 Descriptive Analytics
4.1.1 Continuation of Descriptive Analytics
4.1.1 Continuation of Descriptive Analytics
4.1.1 Continuation of Descriptive Analytics
4.1.1 Continuation of Descriptive Analytics
5. Predictive Analytics
5.1.1 Predictive Analytics
5.1.1 Continuation of Predictive Analytics
5.1.1 Continuation of Predictive Analytics
5.1.1 Continuation of Predictive Analytics
6. Behavioral Segmentation
6.1.1 Behavioral Segmentation
6.1.1 Continuation of Behavioral Segmentation
6.1.1 Continuation of Behavioral Segmentation
6.1.1 Continuation of Behavioral Segmentation
6.1.1 Continuation of Behavioral Analytics
7. A/B Testing and Experimentation
7.1.1 A B Testing and Experimentation
7.1.1 Continuation of A B Testing and Experimentation
7.1.1 Continuation of A B Testing and Experimentation
7.1.1 Continuation of A B Testing and Experimentation
8. Sentiment Analysis and Text Mining
8.1.1 Sentiment Analysis and Text Mining
8.1.1 Continuation of Sentiment Analysis and Text Mining
8.1.1 Continuation of Sentiment Analysis and Text Mining
8.11 Continuation of Sentiment Analysis and Text Mining
8.1.1 Continuation of Sentiment Analysis and Text Mining
9. Case Studies and Real-World Applications
9.1.1 Case Studies and Real World Applications
9.1.1 Continuation of Case Studies and Real World Applications
9.1.1 Continuation of case Studies and Real World Applications
9.1.1 Continuation of Case Studies and Real World Applications
10. Future Trends in Behavioral Analytics
10.1.1 Future Trends in Behavioral Analytics
10.1.1 Continuation of Future Trends in Behavioral Analytics
10.1.1 Continuation of Future Trends in Behavioral Analytics
10.1.2 Assessment
10.1.3 Understanding User Engagement on Social Media Platform
10.1.4 Methodology
10.1.5 Presentation of Findings
10.1.5 Continuation of Presentation of Findings
10.1.6 Prerequisites
10.1.7 Certification
Part 3
Assignments
Course Curriculum
Chapter 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
Chapter 2: 2. Data Collection Methods
Lecture 1: Data Collection Methods
Lecture 2: Continuation of Data Collection Methods 1
Lecture 3: Continuation of Data Collection Methods 2
Chapter 3: 3. Data Processing and Cleaning
Lecture 1: Data Processing and Cleaning
Lecture 2: Continuation of Data Processing and Cleaning 1
Lecture 3: Continuation of Data Processing and Cleaning 2
Lecture 4: Continuation of Data Processing and Cleaning 3
Chapter 4: 4. Descriptive Analytics
Lecture 1: Descriptive Analytics
Lecture 2: Continuation of Descriptive Analytics 1
Lecture 3: Continuation of Descriptive Analytics 2
Lecture 4: Continuation of Descriptive Analytics 3
Lecture 5: Continuation of Descriptive Analytics 4
Chapter 5: 5. Predictive Analytics
Lecture 1: Predictive Analytics
Lecture 2: Continuation of Predictive Analytics 1
Lecture 3: Continuation of Predictive Analytics 2
Lecture 4: Continuation of Predictive Analytics 3
Chapter 6: 6. Behavioral Segmentation
Lecture 1: Behavioral Segmentation
Lecture 2: Continuation of Behavioral Segmentation 1
Lecture 3: Continuation of Behavioral Segmentation 2
Lecture 4: Continuation of Behavioral Segmentation 3
Lecture 5: Continuation of Behavioral Analytics
Chapter 7: 7. A/B Testing and Experimentation
Lecture 1: A/B Testing and Experimentation
Lecture 2: Continuation of A B Testing and Experimentation 1
Lecture 3: Continuation of A B Testing and Experimentation 2
Lecture 4: Continuation of A B Testing and Experimentation 3
Chapter 8: 8. Sentiment Analysis and Text Mining
Lecture 1: Sentiment Analysis and Text Mining
Lecture 2: Sentiment Analysis and Text Mining
Lecture 3: Continuation of Sentiment Analysis and Text Mining 1
Lecture 4: Continuation of Sentiment Analysis and Text Mining 2
Lecture 5: Continuation of Sentiment Analysis and Text Mining 3
Chapter 9: 9. Case Studies and Real-World Applications
Lecture 1: Case Studies and Real-World Applications
Lecture 2: Continuation of Case Studies and Real World Applications 1
Lecture 3: Continuation of Case Studies and Real World Applications 2
Lecture 4: Continuation of Case Studies and Real World Applications 3
Chapter 10: 10. Future Trends in Behavioral Analytics
Lecture 1: Future Trends in Behavioral Analytics
Lecture 2: Continuation of Future Trends in Behavioral Analytics 1
Lecture 3: Continuation of Future Trends in Behavioral Analytics 2
Lecture 4: Assessment
Lecture 5: Understanding User Engagement on Social Media Platform
Lecture 6: Methodology
Lecture 7: Presentation of Findings
Lecture 8: Continuation of Presentation of Findings
Lecture 9: Prerequisites
Lecture 10: Certification
Chapter 11: Assignments
Lecture 1: Assignments
Instructors
-
Human and Emotion: CHRMI
E Learning, Consulting, Leadership Development
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- 5 stars: 11 votes
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