Certification In Marketing Analytics

Learn Marketing Analytics for data representation, processing and creating dashboards for marketing insights

What you'll learn

The course covers marketing analytics, involving data representation and feature engineering, which are crucial for understanding and manipulating marketing d

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

The course includes advanced topics and practical applications in data visualization, such as interactive dashboards and visual analytics,

You will explore data preprocessing and analysis techniques tailored for marketing data, emphasizing their roles in understanding and manipulating marketing

The course covers creating effective visualizations and crafting compelling narratives with marketing data, along with interactive dashboards and analytics

Learn about marketing analytics techniques tailored for marketing analytics, including methods for creating impactful visual representations of marketing data

Cover data-driven storytelling and dashboard design specific to marketing insights, emphasizing approaches to generate insightful visuals

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

Explore applications of marketing analytics, examining its role across different industries and investigating the latest advancements

This training will be valuable if your job involves applying marketing analytics techniques in practical scenarios.

Requirements

You should have an interest in marketing analytics and its applications.

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

Be interested in gaining knowledge of data-driven storytelling and analytics techniques specific to marketing analytics

Have an interest in understanding marketing analytics applications and future trends in marketing analytics

Description

DescriptionTake 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 CourseEngaging 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 1Introduction and Study Plan● Introduction and know your Instructor● Study Plan and Structure of the Course1. Introduction to Marketing Analytics1.1.1 Introduction to Marketing Analytics1.1.2 Understanding Marketing Analytics1.1.3 Key Components of Marketing Analytics1.1.4 Benefits of Marketing Analytics1.1.4 Continuation of Benefits of Marketing Analytics2. Data Collection and Sources for Marketing Analytics2.1.1 Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics2.1.1 Continuation of Data Collection and Sources for Marketing Analytics3. Descriptive Analytics for Marketing Insights3.1.1 Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Insights3.1.1 Continuation of Descriptive Analytics for Marketing Analytics3.1.1 Continuation of Descriptive Analytics for Marketing Analytics4. Customer Segmentation and Targeting4.1.1 Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting4.1.1 Continuation of Customer Segmentation and Targeting5. Predictive Analytics for Customer Behavior Forecasting5.1.1 Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting5.1.1 Continuation of Predictive Analytics for Customer Behavior Forecasting6. Campaign Analytics and ROI Measurement6.1.1 Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Campaign Analytics and ROI Measurement6.1.1 Continuation of Analytics and ROI Measurement7. Social Media Analytics and Engagement Measurement7.1.1 Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement7.11 Continuation of Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement7.1.1 Continuation of Social media Analytics and Engagement Measurement8. Customer Journey Mapping and Attribution Modeling8.1.1 Customer Journey Mapping and Attribution Modeling8.1.2 Customer Journey Mapping8.1.3 Attribution Modeling8.1.3 Continuation of Attribution Modeling9. A/B Testing and Experimentation in Marketing9.1.1 AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing9.1.1 Continuation of AB Testing and Experimentation in Marketing10. Future Trends in Behavioral Analytics10.1.1 Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.1 Continuation of Case Studies and Real World Applications10.1.7 CertificationPart 3Assignments

Overview

Section 1: 1. Introduction to Marketing Analytics

Lecture 1 Introduction and Study Plan

Lecture 2 Online Marketing Analytics

Lecture 3 Introduction to Marketing Analytics

Lecture 4 Understanding Marketing Analytics

Lecture 5 Key Components of Marketing Analytics

Lecture 6 Benefits of Marketing Analytics

Lecture 7 Continuation of Benefits of Marketing Analytics

Section 2: 2. Data Collection and Sources for Marketing Analytics

Lecture 8 Data Collection and Sources for Marketing Analytics

Lecture 9 Data Collection and Sources for Marketing Analytics2

Lecture 10 Data Collection and Sources for Marketing Analytics3

Lecture 11 Data Collection and Sources for Marketing Analytics4

Lecture 12 Data Collection and Sources for Marketing Analytics5

Section 3: 3. Descriptive Analytics for Marketing Insights

Lecture 13 Descriptive Analytics for Marketing Insights

Lecture 14 Descriptive Analytics for Marketing Insights2

Lecture 15 Descriptive Analytics for Marketing Insights3

Lecture 16 Descriptive Analytics for Marketing Insights4

Lecture 17 Descriptive Analytics for Marketing Insights5

Section 4: 4. Customer Segmentation and Targeting

Lecture 18 Customer Segmentation and Targeting

Lecture 19 Customer Segmentation and Targeting1

Lecture 20 Customer Segmentation and Targeting2

Lecture 21 Customer Segmentation and Targeting3

Lecture 22 Customer Segmentation and Targeting4

Section 5: 5. Predictive Analytics for Customer Behavior Forecasting

Lecture 23 Predictive Analytics for Customer Behavior Forecasting

Lecture 24 Predictive Analytics for Customer Behavior Forecasting1

Lecture 25 Predictive Analytics for Customer Behavior Forecasting2

Lecture 26 Predictive Analytics for Customer Behavior Forecasting3

Lecture 27 Predictive Analytics for Customer Behavior Forecasting4

Section 6: 6. Campaign Analytics and ROI Measurement

Lecture 28 Campaign Analytics and ROI Measurement

Lecture 29 Campaign Analytics and ROI Measurement1

Lecture 30 Campaign Analytics and ROI Measurement2

Lecture 31 Campaign Analytics and ROI Measurement3

Lecture 32 Campaign Analytics and ROI Measurement4

Section 7: 7. Social Media Analytics and Engagement Measurement

Lecture 33 Social media Analytics and Engagement Measurement

Lecture 34 Social media Analytics and Engagement Measurement1

Lecture 35 Social media Analytics and Engagement Measurement2

Lecture 36 Social media Analytics and Engagement Measurement3

Lecture 37 Social media Analytics and Engagement Measurement4

Section 8: 8. Customer Journey Mapping and Attribution Modeling

Lecture 38 Customer Journey Mapping and Attribution Modeling

Lecture 39 Customer Journey Mapping

Lecture 40 Attribution Modeling

Lecture 41 Attribution Modeling1

Section 9: 9. A/B Testing and Experimentation in Marketing

Lecture 42 A/B Testing and Experimentation in Marketing

Lecture 43 A/B Testing and Experimentation in Marketing1

Lecture 44 A/B Testing and Experimentation in Marketing2

Lecture 45 A/B Testing and Experimentation in Marketing3

Section 10: 10. Future Trends in Behavioral Analytics

Lecture 46 Case Studies and Real World Applications

Lecture 47 Case Studies and Real World Applications1

Lecture 48 Case Studies and Real World Applications2

Lecture 49 Case Studies and Real World Applications3

Lecture 50 Case Studies and Real World Applications4

Lecture 51 Certification

Section 11: Assignments

Lecture 52 Assignments

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