100% OFF-Certification in Marketing Analytics

Course Description

Take the next step in your career as a marketing analytics professional! Whether you’re an up-and-coming marketing analytics specialist, an experienced data analyst focusing on marketing insights, an aspiring data scientist specializing in marketing data analysis, or a budding expert in data-driven insights, this course is an opportunity to sharpen your data processing and analytics capabilities specific to marketing insights, increase your efficiency for professional growth, and make a positive and lasting impact in the field of marketing analytics.

With this course as your guide, you learn how to:

● All the fundamental functions and skills required for marketing analytics.

● Transform knowledge of marketing analytics applications and techniques, data representation and feature engineering for marketing data, data analysis and preprocessing methods tailored to marketing insights, and techniques specific to marketing data narratives.

● Get access to recommended templates and formats for details related to marketing analytics techniques.

● Learn from informative case studies, gaining insights into marketing analytics techniques for various scenarios. Understand how marketing insights impact advancements in data-driven insights, with practical forms and frameworks.

● Learn from informative case studies, gaining insights into marketing analytics techniques for various scenarios. Understand how marketing insights impact advancements in data-driven insights, 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 marketing analytics, covering various chapters and units. You’ll delve into data representation and feature engineering for marketing data, marketing analytics techniques, interactive dashboards and visual analytics tailored to marketing insights, data preprocessing, marketing data analysis, dashboard design for marketing analytics, advanced topics in marketing analytics, and future trends.

The socio-cultural environment module using marketing analytics techniques delves into sentiment analysis and opinion mining, data-driven analysis, and interactive insights in the context of India’s socio-cultural landscape. It also applies marketing analytics to explore data preprocessing and analysis, interactive dashboards, visual analytics, and advanced topics in marketing analytics. You’ll gain insight into data-driven analysis of sentiment and opinion mining, interactive insights, and marketing analytics-based insights into applications and future trends, along with a capstone project in marketing analytics.

The course includes multiple global marketing analytics projects, resources like formats, templates, worksheets, reading materials, quizzes, self-assessment, case studies, and assignments to nurture and upgrade your global marketing analytics 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 Marketing Analytics

1.1.1 Introduction to Marketing Analytics

1.1.2 Understanding Marketing Analytics

1.1.3 Key Components of Marketing Analytics

1.1.4 Benefits of Marketing Analytics

1.1.4 Continuation of Benefits of Marketing Analytics

2. Data Collection and Sources for Marketing Analytics

2.1.1 Data Collection and Sources for Marketing Analytics

2.1.1 Continuation of Data Collection and Sources for Marketing Analytics

2.1.1 Continuation of Data Collection and Sources for Marketing Analytics

2.1.1 Continuation of Data Collection and Sources for Marketing Analytics

2.1.1 Continuation of Data Collection and Sources for Marketing Analytics

3. Descriptive Analytics for Marketing Insights

3.1.1 Descriptive Analytics for Marketing Insights

3.1.1 Continuation of Descriptive Analytics for Marketing Insights

3.1.1 Continuation of Descriptive Analytics for Marketing Insights

3.1.1 Continuation of Descriptive Analytics for Marketing Analytics

3.1.1 Continuation of Descriptive Analytics for Marketing Analytics

4. Customer Segmentation and Targeting

4.1.1 Customer Segmentation and Targeting

4.1.1 Continuation of Customer Segmentation and Targeting

4.1.1 Continuation of Customer Segmentation and Targeting

4.1.1 Continuation of Customer Segmentation and Targeting

4.1.1 Continuation of Customer Segmentation and Targeting

5. Predictive Analytics for Customer Behavior Forecasting

5.1.1 Predictive Analytics for Customer Behavior Forecasting

5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting

5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting

5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting

5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting

6. Campaign Analytics and ROI Measurement

6.1.1 Campaign Analytics and ROI Measurement

6.1.1 Continuation of Campaign Analytics and ROI Measurement

6.1.1 Continuation of Campaign Analytics and ROI Measurement

6.1.1 Continuation of Campaign Analytics and ROI Measurement

6.1.1 Continuation of Analytics and ROI Measurement

7. Social Media Analytics and Engagement Measurement

7.1.1 Social media Analytics and Engagement Measurement

7.1.1 Continuation of Social media Analytics and Engagement Measurement

7.11 Continuation of Social media Analytics and Engagement Measurement

7.1.1 Continuation of Social media Analytics and Engagement Measurement

7.1.1 Continuation of Social media Analytics and Engagement Measurement

8. Customer Journey Mapping and Attribution Modeling

8.1.1 Customer Journey Mapping and Attribution Modeling

8.1.2 Customer Journey Mapping

8.1.3 Attribution Modeling

8.1.3 Continuation of Attribution Modeling

9. A/B Testing and Experimentation in Marketing

9.1.1 AB Testing and Experimentation in Marketing

9.1.1 Continuation of AB Testing and Experimentation in Marketing

9.1.1 Continuation of AB Testing and Experimentation in Marketing

9.1.1 Continuation of AB Testing and Experimentation in Marketing

10. Future Trends in Behavioral Analytics

10.1.1 Case Studies and Real World Applications

10.1.1 Continuation of Case Studies and Real World Applications

10.1.1 Continuation of Case Studies and Real World Applications

10.1.1 Continuation of Case Studies and Real World Applications

10.1.1 Continuation of Case Studies and Real World Applications

10.1.7 Certification

Part 3

Assignments