Home AI Courses ML in Marketing Specialization

ML in Marketing Specialization

(0 reviews)

Master the art of machine learning in the field of marketing. This five-course Specialization from Jindal Global Business School (JGBS) is designed for marketing professionals and individuals who are interested in acquiring a more comprehensive understanding of the process of conceptualizing effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.

Key AI Functions:Google Analytics,Python Programming Language,Anaconda navigator,Sentiment Analysis,Text mining techniques

Description

Reviews

Alternative Tools

Description for ML in Marketing Specialization

Utilizing key performance indicators (KPIs) to assess the effectiveness of campaigns, you will develop a digital marketing strategy and an Ad Campaign on Google Ads.

In order to make well-informed marketing decisions, you will employ Google Analytics, the Google search engine, the Python programming language, and Anaconda Navigator.

It also employ text mining techniques to analyze consumer feedback and sentiment in the context of marketing.

Level: Beginner

Certification Degree: Yes

Languages the Course is Available: 1

Offered by: On Coursera provided by O.P. Jindal Global University

Duration: 3 months at 10 hours a week

Schedule: Flexible

Reviews for ML in Marketing Specialization

0 / 5

from 0 reviews

Ease of Use

Ease of Customization

Intuitive Interface

Value for Money

Support Team Responsiveness

Featured Tools

Open Source LLMOps

Data Analysis with Python

Operationalizing LLMs on Azure

Python Data Products for Predictive Analytics Specialization

Rust Programming Specialization

Alternative Tools for ML in Marketing Specialization

Gen AI in Code Generation for Python

Welcome to the 'Gen AI for Code Generation for Python' course, where you will begin a journey to hone and expand your abilities in the field of code generation using Generative AI.

#Prompt Engineering #Python Programming Language

NLP Specialization

Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.

#Machine Translation #Transformers

Featured Tools

Open Source LLMOps

Learn the skills necessary to operate, optimize, and implement large language models through practical experience with state-of-the-art LLM architectures and open-source resources.

#opensource #llm

Data Analysis with Python

Learn to clean, prepare, analyze, and manipulate data with Python, utilize libraries for exploratory data analysis, and develop regression models for prediction and decision-making using scikit-learn.

#Model Selection #Data Analysis

Operationalizing LLMs on Azure

Gain expertise in deploying and managing LLMs on Azure, optimizing interactions with Semantic Kernel, and applying Retrieval Augmented Generation (RAG) techniques.

#Artificial Intelligence (AI) #Python Programming

Python Data Products for Predictive Analytics Specialization

This Specialization refines Python competencies for predictive analytics and the implementation of machine learning models, equipping learners for advanced positions in the AI sector.

#predictive analytics #python programming

Rust Programming Specialization

Acquire the skills necessary to program powerful systems in Rust. Through projects in data engineering, Linux tools, DevOps, LLMs, Cloud Computing, and machine learning operations, acquire the skills necessary to develop software that is both efficient and robust, utilizing Rust's distinctive safety and speed.

#Computer Programming #Rust (Programming Language)

Compare & Review AI Tool Directory AI Course Marketplace