Python for Marketing Analytics

An outline of this training course

Explore Python's impact on marketing with this comprehensive course. Learn how Python aids in analysis and decision-making, including ChatGPT integration for strategy development. Gain practical skills in A-B testing and use machine learning for audience segmentation and persona creation. This course combines theory with hands-on exercises, preparing marketers to apply Python effectively in real-world scenarios. Join us to elevate your marketing strategies!

What is 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 in 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

Intermediate

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: www.nasbaregistry.org