Overview
Context
Gain the Python skills you need to make better data-driven marketing decisions. In this Marketing Analytics in Python course offered by Data Camp, you’ll learn how to analyze campaign performance, measure customer engagement, and forcast consumer churn.
Working with real-world data, including retail transactions, you'll discover how to interpret data, extract insights from text data, and gain market basket analysis skills that will help you better understand your customers.
You’ll also use statistical models and machine learning to forecast customer lifetime value. Through hands-on activities, you’ll use popular packages such as pandas, Matplotlib, tweepy, NLTK, seaborn, NumPy, SciPy, and scikit-learn to help you improve your company’s marketing strategy. By the end of the track, you'll be ready to navigate the world of marketing using Python.
Programme Structure
Courses
- Analyzing Marketing Campaigns with pandas
- Analyzing Social Media Data in Python
- Market Basket Analysis in Python
- Machine Learning for Marketing in Python
- Customer Segmentation in Python
Key information
Duration
- Part-time
- 3 days
Start dates & application deadlines
Language
Delivered
Campus Location
- New York City, United States
Disciplines
Marketing Data Analytics View 179 other Short Courses in Data Analytics in United StatesWhat students do after studying
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
- There are no prerequisites for this track
- This Track is suitable for beginners.
- This track is suitable for many marketing and analytics related jobs such as data analyst, marketing analyst, and digital marketing specialist.
Tuition Fees
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International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This course can be accessed for free with the Data Camp Premium or Teams subscriptions