Endorsed by
Coursera 4.3 (9)
Overview
Marketing data are complex and have dimensions that make analysis difficult. Large unstructured datasets are often too big to extract qualitative insights. Marketing datasets also are relational and connected.
This Text Marketing Analytics course offered by Coursera in partnership with University of Colorado Boulder tackles advanced advertising and marketing analytics through three advanced methods aimed at solving these problems: text classification, text topic modeling, and semantic network analysis. Each key area involves a deep dive into the leading computer science methods aimed at solving these methods using Python.
This specialization can be taken for academic credit as part of CU Boulder’s Master of Science in Data Science (MS-DS) degree offered on the Coursera platform. The MS-DS is an interdisciplinary degree that brings together faculty from CU Boulder’s departments of Applied Mathematics, Computer Science, Information Science, and others. With performance-based admissions and no application process, the MS-DS is ideal for individuals with a broad range of undergraduate education and/or professional experience in computer science, information science, mathematics, and statistics.
Applied Learning Project
Learners explore conceptual overviews of text classification, text topic modeling, and semantic network analysis and dive into real-world datasets through instructor-led tutorials. Learners also conduct a major project for each of the three key methods.
What You Will Learn:
- Understand the concepts of topic modeling, text classification, and network analysis
- Learn to use network analysis to create network graphs, produce network statistics, and extract qualitative insights
- Learn to use topic modeling on large unstructured text datasets
Skills You Will Gain:
- Data Analysis
- Machine Learning
- Text Marketing Analytics
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Visit programme websiteProgramme Structure
Courses include:
- Supervised Text Classification for Marketing Analytics
- Unsupervised Text Classification for Marketing Analytics
- Network Analysis for Marketing Analytics
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 months
- Flexible
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
Disciplines
Marketing Management Data Analytics View 22 other Short Courses in Marketing Management in United StatesExplore more key information
Visit programme websiteAcademic 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 Python proficiency, including Python's built-in functions, logic, and data structures, is recommended.
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
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International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 months.
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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.
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