Data Analysis

Exercise

what to consider to a make strong hypothesis
Is it aligned with the problem to be solved?→ Ensure a clear understanding of what problem you aim to solve.
Is it Testable? → Formulate hypotheses that can be verified through data.
Is it leading to actionable outcomes? → Hypotheses that, after validation, can guide specific actions based on the results.

• Using cohort chart
  A cohort - a grouping of consumers based on factors such as the period of timeand the stages of service usage.
  A cohort chart - a visual representation that combines two key factors (ex) the passage of time and aspects like service stage or reuse,) allowing us to effectively depict consumer conversion rates.

When to use) when you want to track how different groups of users or customers, categorized by specific characteristics or time periods, evolve and behave over time.

Benefits) can analyze patterns, providing valuable insights for improving products or services and making data-driven decisions.

Today I learned

• what to consider when making a hypothesis
• The whole process of data analysis(From writing hypothesis to making final conclusion)
• The concept of the cohort chart