Collaborative Data Analytics Masterclass
Content
Content
Costs
$100.00
50% DISCOUNT WITH PROMO CODE: MEMBERSUMMER
Taught by
Crystal Pugh
Starts
Summary
In this project-based masterclass, students work in small teams, each functioning as its own company, to solve a real data-driven business problem using predictive analytics. Every team owns the entire pipeline end to end: selecting a dataset, cleaning it, building and validating a predictive model, visualizing the results, documenting the work, and presenting it.
Over three weeks, each team moves from raw data to a finished predictive analysis, then submits a final report and delivers a presentation at a finale session the week after the class ends. Teams split internal responsibilities however makes sense for their size, but the team submits one project together and is collectively accountable for it.
Key Audiences
Career changers and early-career professionals building hands-on analytics experience
Anyone who wants practice working on a cross-functional, agile team with real deliverables
No prior education or experience is required, just a willingness to take ownership of your team's tasks
Learning Objectives
How to evaluate data sources for feasibility and select a dataset suitable for predictive modeling
How to identify features and targets, and frame a business problem as a prediction problem (for example, predicting customer churn from customer attributes)
How to clean and prepare data, run exploratory analysis, and build and validate predictive models
How to design clear visualizations and dashboards that communicate insights to stakeholders
How to document methodology and findings in a professional report
How to collaborate across functional teams with real handoffs, milestones, and QA reviews