Python-Powered Marketing: Strategies and Insights with ChatGPT Integration

Elevate your marketing capabilities by integrating Python's robust analytical and data visualization tools, enhancing marketing strategies with insights powered by Python.

schedule1 hours
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unfold_more22 exercises
trending_up189 xp

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An outline of this training course

This course offers a thorough exploration into the utilization of Python in the marketing sector. Initially, the course introduces Python's significance in marketing, highlighting how it can be leveraged for in-depth analysis and decision-making, with an emphasis on integrating ChatGPT for insightful marketing strategies. This introductory part sets the stage for understanding Python's role in modern marketing practices.

As the course progresses, participants dive into practical modules, beginning with A-B testing. This segment focuses on employing Python for designing and executing effective A-B tests, crucial for marketing analytics. The course then transitions to sophisticated techniques in clustering and persona creation, using both unsupervised and supervised machine learning models. This part of the course is particularly valuable for marketers looking to segment their audience and tailor marketing strategies effectively. Throughout, the course maintains a balance between theoretical understanding and practical application, ensuring that marketers can apply these Python skills directly to real-world marketing challenges.


What are needed to take this course 

Participants should have a basic understanding of Python and marketing principles. Access to a computer with Python installed and an Integrated Development Environment (IDE) like Jupyter Notebook or PyCharm is essential. A reliable internet connection is needed to access course materials and online resources, including ChatGPT. Familiarity with statistical analysis and data visualization tools in Python, such as Matplotlib or Seaborn, will be beneficial. Most importantly, a willingness to learn and apply Python in practical marketing scenarios is key to making the most of the course.


Who is this course for

Designed for a diverse audience, including marketing professionals seeking to bolster their data analysis skills, data analysts in marketing departments looking to enhance their Python expertise, digital marketers aiming to adopt data-driven strategies, and business analysts interested in applying Python for more insightful marketing data interpretation. It is also highly beneficial for students and academics in related fields, as well as career changers aspiring to enter the realms of marketing or data analytics. This course serves as a bridge for those looking to integrate advanced data science techniques into their marketing skillset.


Details of what you will learn during this course

By the end of this course, you will:

  • Have a thorough understanding of Python's role in enhancing marketing strategies and decision-making processes.
  • Be adept at using Python for conducting A-B testing and interpreting the results with statistical significance.
  • Gain proficiency in audience segmentation and persona creation through advanced clustering techniques using machine learning models.
  • Develop skills in exploratory data analysis (EDA) and data visualization, utilizing Python’s powerful libraries to uncover marketing insights.
  • Learn to build predictive models in Python, enabling forward-looking market analysis and trend prediction.
  • Integrate Python tools effectively with your marketing efforts, leading to more data-driven and impactful marketing campaigns.


What you get with the course

  • Over two hours of intensive training videos
  • Resource pack for practical application


Program Level



Field(s) of Study

Data Science and Analysis, Marketing and Digital Marketing, Business Intelligence


Instruction Delivery Method

QAS Self-study


***This course was published in January 2024


Enterprise DNA is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website:



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Course Overview




Introduction to Python in Marketing


Mastering A/B Testing with Python


Clustering Techniques in Marketing


Persona Development and Analysis


Predictive Analytics in Marketing


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Gaelim Holland

Enterprise DNA Expert

  • Innovative Data Analyst and Digital Channel Optimization Specialist with thorough knowledge of Omni channel analytics and incorporating online and offline data in funnel analysis.
  • Skilled in maximizing online sales, revenue, and call-to-actions through conversion rate optimization, statistical science, and A/B testing. Deep expertise in statistical testing tools, data extraction, and data science.
  • My 15 year career has allowed me to work in multiple data science roles in several industries at organizations from the startup level to Fortune 500 companies across 3 continents.

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