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Data anaysis using AI
Published 9/2026
Created by Euro Jobs
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Beginner | Genre: eLearning | Language: English | Duration: 21 Lectures ( 4h 2m ) | Size: 3.6 GB
From Curiosity to Confidence: Building the Analytical Mindset - with AI as Your Partner from Day One
What you'll learn
Frame a business problem as an analytical question. Students learn to translate a real business challenge into a specific data question, select relevant KPIs, a Distinguish and work with different data types and sources. Students learn to identify structured, semi-structured, and unstructured data, differentiate interna Calculate and interpret descriptive statistics. Students learn to compute measures of central tendency and dispersion (mean, median, mode, variance, standard de Use AI to accelerate and validate data-driven decisions. Across all three modules, students practice using AI tools to generate synthetic datasets for practice,Requirements
No technical background required. What Is Actually Required Curiosity, discipline, and willingness to work hands-on with real data Time availability: roughly 12 minutes per lesson Basic Excel familiarity is helpfulDescription
This course contains the use of artificial intelligence.
Data Analysis Fundamentals: Think Like an Analyst - With AI as Your Co-Pilot
Master the foundations of data analysis with a career-transition-first approach. Learn analytical thinking, KPIs, data types, and descriptive statistics - using Claude and ChatGPT from Lesson 1, not as an afterthought.
COURSE DESCRIPTION
Have you ever wondered how professionals with zero technical background break into data analysis roles in a matter of months, not years? Welcome to Data Analysis Fundamentals, the foundational course designed to give career-changers the clarity, confidence, and analytical mindset needed to thrive in one of the fastest-growing fields in the world.
In an era where over 2.5 trillion bytes of data are generated every single day, knowing how to think analytically - and how to use AI to accelerate that thinking - is no longer optional. It's the skill that separates professionals who adapt from those whose roles get automated around them.
Why choose this course? Most data courses front-load abstract theory or assume you already code. This course is different. It's built specifically for professionals with 3+ years of experience in non-technical fields - HR, finance, marketing, operations - who already understand business, and simply need the tools to prove it with data. Across 21 lessons and roughly 4 hours of focused, dense content, you'll build the analytical foundation that every later technical skill (Python, SQL, Power BI, Machine Learning) is built on top of.
WHAT YOU WILL LEARN
Analytical Thinking: Frame any business problem as a precise, answerable data question - using frameworks like CRISP-DM and the Problem-to-Question Bridge. Business KPIs: Choose the right metrics for the right decisions, distinguish leading from lagging indicators, and avoid vanity metrics that look impressive but mean nothing. Data Types & Sources: Tell structured, semi-structured, and unstructured data apart, and know where to find (and how to collect) real business data - including a hands-on Python web-scraping mini-project. Data Quality: Spot and understand the most common data quality problems - missing values, duplicates, outliers, inconsistent formats - before they corrupt an analysis. Descriptive Statistics: Calculate and correctly interpret mean, median, mode, variance, standard deviation, and correlation - and know exactly when each measure tells the truth and when it lies. AI as a Working Partner: Use Claude and ChatGPT to brainstorm business questions, generate synthetic practice datasets, document new datasets, and interpret statistical output - critically, not blindly.WHO IS THIS FOR?
Career-changers with 3+ years of professional experience in HR, finance, marketing, operations, or logistics, seeking a structured path into data analysis. Complete beginners with no coding or statistics background who want a solid, honest foundation before going further. Managers who want to understand the language of data to make better decisions and evaluate their analytical teams. Entrepreneurs who want to make sense of their own business data without hiring a dedicated analyst - yet.This is not a course for mathematicians or programmers. It does not require differential calculus or prior coding experience. It requires curiosity, discipline, and a willingness to work with real data from day one.
AI-ENHANCED LEARNING EXPERIENCE
To provide the highest-quality, most relevant learning experience, this course integrates AI at every level - not as a bonus chapter, but as the daily working partner you'll actually use in the job
AI as Co-Pilot, Not Afterthought: Every module includes hands-on lessons using Claude and ChatGPT for real analytical tasks - from brainstorming business questions to generating synthetic practice data to interpreting statistics. Critical AI Literacy: You'll learn a simple, repeatable framework (Green / Amber / Red) for evaluating AI output - knowing when to trust it, when to verify it, and when to correct it. Optimized Curriculum: Content structure and lesson sequencing designed and refined with AI assistance for pedagogical clarity and pacing. Crystal-Clear Delivery: High-fidelity AI-assisted narration and visuals to keep every lesson short, dense, and easy to follow - no lesson longer than 15 minutes.Important: All proprietary teaching frameworks, prompt structures, and evaluation methodologies taught in this course are the intellectual property of Euro Jobs S.R.L., combining real analytical expertise with modern AI-assisted production.
ZERO RISK. HIGH REWARD.
By the end of this course, you will already have employable analytical competencies: you'll be able to frame a real business problem as a data question, assess a dataset's quality, calculate and correctly interpret descriptive statistics, and use AI as a genuine analytical partner rather than a black box.
Stop wondering if you're "technical enough" for a career in data. Start proving that you already think like an analyst.
Click "Enroll Now" and take the first step toward your data analysis career - with AI by your side from Lesson 1.
Who this course is for
Target profile - the course is designed for Professionals with 3+ years of experience in non-technical fields (HR, finance, marketing, operations, logistics, legal, etc.) seeking a career transition into data analysis Specialists who already work with data informally but lack a structured methodology Managers who want to understand data language to make better decisions and evaluate analytical teams Entrepreneurs wanting to leverage their own business data without hiring a dedicated specialistHomepage
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