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Certification in Marketing Analytics
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[Image: 3b44f496b952524d493bdbaeecf97664.jpg]
Certification in Marketing Analytics
Published 8/2024
Created by Human and Emotion: CHRMI
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 52 Lectures ( 7h 57m ) | Size: 3.28 GB

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


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