Data Private

Data Analytics Bootcamp (DATA200)

5 days
Data

A five-day, project-based program covering the full analytics pipeline, from data ingestion and transformation through visualization, statistical modeling, and machine learning fundamentals.

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  • Private class for your team
  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal turnaround within 1–2 business days
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Course Overview

A five-day, project-based program covering the full analytics pipeline, from data ingestion and transformation through visualization, statistical modeling, and machine learning fundamentals. Participants work through real-world case studies and build a portfolio of projects demonstrating the ability to extract actionable insights and communicate findings effectively.

Course Benefits

  • Connect to and ingest data from databases, flat files, APIs, and other common sources, and apply transformation techniques to produce clean, analysis-ready datasets.
  • Structure analytical problems using requirement-gathering frameworks, ensuring alignment between stakeholder needs and analytical approach.
  • Build interactive charts, dashboards, and reports using Power BI, Excel, or similar tools to surface trends and support organizational decision-making.
  • Apply core statistical methods, including descriptive statistics, probability distributions, and hypothesis testing, to draw rigorous conclusions from data.
  • Construct and evaluate basic supervised and unsupervised machine learning models to identify patterns and generate predictions.
  • Present complex analytical findings to non-technical audiences using clear data storytelling techniques and structured presentation formats.
  • Complete an end-to-end analytics project from raw data through stakeholder-ready deliverables.

Delivery Methods

Private Class
Delivered for your team at your site or online.

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this Data class:

Completion of Foundations of Data Analysis or equivalent experience. Comfort with basic spreadsheet operations. No coding experience required, though helpful.

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