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Data Analytics for Product Managers
YOUR PATHWAY TO SUCCESS
This intensive 5-day course equips product managers with the essential data analytics skills to make informed, data-driven decisions. Participants will learn how to collect, analyze, and interpret product data to understand user behavior, measure product performance, and identify areas for improvement.
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Course Duration
5 Days
Course Details
This intensive 5-day course equips product managers with the essential data analytics skills to make informed, data-driven decisions. Participants will learn how to collect, analyze, and interpret product data to understand user behavior, measure product performance, and identify areas for improvement. The course covers key topics such as data collection methods, data visualization techniques, statistical analysis, A/B testing, and data-driven product iteration. Real-world examples will illustrate how data analytics can be used to drive product success.
This course emphasizes practical application and hands-on experience. Participants will work with real product datasets, learn how to use data analytics tools and techniques, and develop data-driven product recommendations. We’ll explore various data analytics frameworks, learn how to identify key product metrics, and understand how to communicate data insights effectively to stakeholders. By the end of this course, participants will be equipped with the data analytics skills needed to make informed product decisions and drive product growth.
By the end of this course, learners will be able to:
- Collect and analyze product data.
- Visualize data effectively using charts and graphs.
- Apply statistical analysis techniques to product data.
- Conduct A/B tests to evaluate product changes.
- Use data to drive product iteration and improvement.
- Product managers seeking to enhance their data analytics skills.
- Data analysts working with product data.
- Marketing professionals involved in product analysis.
- Anyone interested in learning about data analytics for product management.
Course Outline
5 days Course
- Introduction to Data Analytics for Product Managers:
- What is data analytics? Definition, importance, and applications.
- Data analytics frameworks and methodologies.
- Product metrics and key performance indicators (KPIs).
- Case study: Analysis of a company using data analytics to drive product success.
- Data Collection and Visualization:
- Data collection methods: User tracking, surveys, and database queries.
- Data visualization techniques: Charts, graphs, and dashboards.
- Data visualization tools and software.
- Practical exercise: Creating data visualizations for product data.
- Statistical Analysis:
- Descriptive statistics: Mean, median, mode, and standard deviation.
- Inferential statistics: Hypothesis testing and confidence intervals.
- Statistical analysis tools and techniques.
- Practical exercise: Conducting statistical analysis on product data.
- Statistical Analysis:
- A/B Testing:
- A/B testing methodology: Designing and running experiments.
- Analyzing A/B testing results.
- A/B testing tools and software.
- Practical exercise: Designing and analyzing an A/B test for a product change.
- A/B Testing:
- Data-Driven Product Iteration:
- Using data to identify product opportunities and areas for improvement.
- Developing data-driven product recommendations.
- Communicating data insights effectively to stakeholders.
- Case study: Analysis of a company using data to drive product iteration.
- Data-Driven Product Iteration:
