4.2 Read 93 reviews
Overview
The Machine Learning for Marketing Specialization is offered by Coursera in partnership with O.P. Jindal Global University. Learn Machine Learning Techniques in Marketing.
This 5-course Specialization from Jindal Global Business School (JGBS) is for marketing professionals, and anyone interested in gaining greater knowledge of how to conceptualize effective marketing strategies and decisions using Machine Learning (ML) and Decision Science.
What you'll learn
You will create a digital marketing plan and an Ad Campaign on Google Ads using KPIs to evaluate the performance of campaigns.
You will use Google Analytics, Google search engine, Python programming language, and Anaconda Navigator to make informed marketing decisions.
You will also use text mining techniques for sentiment analysis and customer feedback analysis in marketing.
Skills you'll gain
- Google Analytics
- Python Programming Language
- Anaconda navigator
- Sentiment Analysis
- Text mining techniques
- Decision Theory
- Decision-Making
- Marketing Analytics
- Data analytics techniques
- Performance Indicator
- Ad Campaigns on Google Ads
- Digital marketing plan
Programme Structure
Courses included:
- Supervised Learning and Its Applications in Marketing
- Unsupervised Learning and Its Applications in Marketing
- Introduction to Decision Science for Marketing
- Text Mining for Marketing
- Digital Marketing Analytics
Key information
Duration
- Part-time
- 3 months
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Campus Location
- Mountain View, United States
Disciplines
Marketing Digital Marketing Machine Learning View 207 other Short Courses in Machine Learning in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
Recommended experience:
- Basic knowledge of marketing concepts, data analytics, Google Ads, and Google Analytics
- Intermediate-level skills in Python programming
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
- This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
Improve page content