Скачать или смотреть 🎓 DTSP K13: The Principles of Data Analysis | A Beginner's Guide to Turning Data into Insight - Long

🚀 Welcome to the ultimate guide to K13: Principles of data analysis from the Digital and Technology Solutions Professional (DTSP) Degree Apprenticeship. I'm Sam, and today we're moving from simply storing data (K12) to strategically understanding it.
Data analysis is one of the most powerful skills in the modern economy, and it's a core competency for EVERY tech role. This session will give you the foundational knowledge to start thinking like an analyst, making evidence-based decisions, and creating powerful evidence for your EPA.
IN THIS VIDEO, YOU WILL MASTER:
✅ The 4 Levels of Analytics: A simple guide from Descriptive ("What happened?") to Prescriptive ("What should we do?").
✅ The 5-Stage Lifecycle: The professional, repeatable process for any analysis project.
✅ Critical Thinking: Learn the single biggest mistake new analysts make (Correlation vs. Causation).
✅ Role-Specific Examples: See exactly how these principles apply to Software Engineers, Cyber Analysts, Network Engineers, and more.
✅ Portfolio & Project GOLD: Learn exactly how to document this skill to get top marks in your End-Point Assessment.
#DTSP #DegreeApprenticeship #DataAnalysis #K13 #DataAnalytics #BusinessIntelligence #PortfolioTips
Additional Details for YouTube
Your problem, solved! Find the exact answers you need for your portfolio and project below:
Slide 3: What are the different types of data analysis?
Slide 4: What is the step-by-step process for analysing data?
Slide 6 & 7: How is data analysis relevant to my specific job as a developer/consultant/etc.?
Slide 8: What are some simple tasks I can do at work to get portfolio evidence for K13?
Slide 9: How do I include data analysis in my final major project report to get a high grade?
➡️ Download the full presentation slides and transcript from our EPA Hub:
www.mentorinai.com/epahub/
Timestamps:
00:00 From Storing Data to Understanding It
01:15 What Does "Principles of Data Analysis" Actually Mean?
02:30 The Most Important Rule: Garbage In, Garbage Out
03:45 The 4 Levels of Analytics (Your Career Roadmap)
05:50 The 5-Stage Data Analysis Lifecycle
08:10 Critical Principle #1: Correlation is NOT Causation
09:45 The Analyst's Toolbox: From Excel to Python
11:20 How K13 Applies to YOU (Part 1: SWE, Data, Network)
13:35 How K13 Applies to YOU (Part 2: Consultant, BA, Cyber)
15:48 How to Get Easy Portfolio Evidence for K13
17:55 The Secret to a High-Scoring Major Project
19:40 Your Mission For This Week