Prepare to immerse yourself in a scenario-driven interview experience that mirrors real-world machine learning and data science interviews.

Across a structured, 60-minute simulation, you’ll engage with a carefully designed series of questions built around a customer churn prediction dataset. Each phase flows naturally into the next, testing your ability to handle the end-to-end lifecycle of a data science project—from wrangling raw data to communicating insights for business impact.

You’ll sharpen your skills across:

• Data wrangling & cleaning: Tackle real-world data quality issues
• SQL querying: Manipulate and extract insights from relational data
• Exploratory Data Analysis (EDA): Identify trends, patterns, and potential signals of churn
• Modeling & algorithms: Select and implement churn prediction models using both coding and theory
• Statistics & hypothesis testing: Validate assumptions with sound statistical reasoning
• Visualization & communication: Present results in ways stakeholders can understand and act on
• Business thinking & metrics: Connect data insights to customer retention and company goals