Objective
- Enhance data literacy and confidence in using data for product decision-making.
- Learn the practical skills in basic data analysis and visualization using accessible tools.
- Learn to communicate data insights effectively to stakeholders.
- Foster a data-driven culture within product development teams.
What you will learn
- Key components of data literacy: interpreting data, ensuring data quality, and making data- driven decisions.
- Enhancing strategies through data literacy in the digital product industry.
- Practical examples of data literacy application.
- Importance of avoiding assumptions in product development.
- Recognizing biases and the impact of assumptions on decision-making.
- Techniques for verifying assumptions with data.
- Developing a mindset of curiosity and inquiry.
- Formulating meaningful questions to guide data collection and analysis.
- Leveraging questions to drive product development and improvement.
- Introduction to essential statistical concepts (mean, median, mode, standard deviation).
- Practical examples using tools like Excel, Google Sheets, and basic data analytics software.
- Effective data visualization methods (charts, graphs) for product insights.
- Techniques for analyzing and interpreting data to support product decisions.
- Formulating data-driven questions relevant to product development.
- Case studies of data-driven decision- making in the digital product industry.
- Communicating data insights effectively within product teams.
- Basics of data storytelling: context, narrative, and visualization for product stakeholders.
- Practical exercises in creating impactful data-driven presentations.
Benefit
- Expert-led Trainer - 10+ years of experience
- Advanced Techniques for professional people
- Practical application
- Comprehensive coverage
- Exclusive tools access
- Real Case study with the expert
