Unlock Your Marketing Potential: Enroll in the Free Marketing Analytics & A/B Testing Course Now!

Enroll in this Free Udemy Course on Marketing Analytics & A/B Testing! Start optimizing your campaigns today!

Dive into the world of Marketing Analytics with our engaging course that teaches you to analyze marketing data effectively using tools like Excel, Python, and Power BI. Created by renowned instructor Christ Raharja, this course is a comprehensive guide designed for anyone looking to enhance their data analytical skills while gaining valuable insights into marketing performance. Whether you’re a digital marketer seeking to optimize campaigns or a data analyst wishing to visualize complex data, this course equips you with the necessary skills to turn raw data into strategic advantages.

Throughout the course, you will explore key concepts such as customer retention, lifetime value, and conversion metrics. You will learn to evaluate campaign performance, segment customers based on behavior, and even conduct A/B testing to refine your strategies. The module on web traffic analysis will also help you utilize Python for in-depth insights. You’ll finish with a robust understanding that combines both marketing principles and data analysis techniques, essential for today’s data-driven marketing landscape.

Not only does this course offer valuable knowledge and skills, but it also allows you to earn a certificate upon completion, showcasing your newfound expertise. All of this is accessible with lifetime access once you enroll—don’t miss out on this opportunity to advance your career with no cost!

What you will learn:

  • Learn the basic fundamentals of marketing analytics and A/B testing
  • Analyze marketing campaign performance and calculate key metrics
  • Visualize marketing data and web traffic insights using Power BI

Course Content:

  • Sections: 19
  • Lectures: 21
  • Duration: 3h 27m

Requirements:

  • No previous experience in marketing analytics is required
  • Basic knowledge in Microsoft Excel and Python

Who is it for?

  • Digital marketers
  • Data analysts interested in marketing data

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