ML in Marketing Specialization
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.
Description for ML in Marketing Specialization
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
Pricing for ML in Marketing Specialization
Use Cases for ML in Marketing Specialization
FAQs for ML in Marketing Specialization
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
Alternative Tools for ML in Marketing Specialization
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.
Begin to explore NLP. Learn the latest NLP techniques through four practical courses! Last updated in October 2021 to incorporate the most recent methodologies.
Featured Tools
Define and differentiate Generative AI, AI, and LLMs, develop AI strategies for course creation, and address benefits, challenges, and ethics of Generative AI in education.
Leverage ChatGPT for audience insights, generate compelling product USPs and copy, and ensure authenticity to bypass AI detection tools.
A data analysis course covering practical skills, data visualization in Excel and BI tools, Python for data analysis, and portfolio development through hands-on projects.
The course provides learners with the necessary skills to transform B2B marketing by implementing AI-driven strategies and machine learning.
The course highlights the curriculum focused on statistics and machine learning, covering descriptive statistics, data clustering, predictive model development, and analysis capability development.