Analityk danych – kto się nadaje do tego zawodu?

Wondering if you're cut out to be a data analyst? In this video, I'll show you that data analysis isn't just about Excel or Power BI, but also everyday decisions—shopping online, budgeting, or choosing a travel route. It's easier than you think—and you might already be doing data analysis without even realizing it. You'll learn: what skills are important for a data analyst, whether mathematics is essential, what typical career paths are available (Data Analyst, BI Developer, Data Scientist, Data Engineer), how much you can earn in this industry, what tools (Excel, SQL, Power BI) really count for a start. 👉 If you want to try it out, check it out here: https://dataheroes.pl/9lekcjiad/ 00:00 – Introduction: A simple aptitude test 00:29 – My history and experience in data analysis 01:00 – What is data analysis in everyday life? 03:19 – Example: Planning a household budget 03:49 – Example: Online shopping and price comparison 04:18 – Example: Planning a trip and choosing a means of transportation 04:49 – Example: Monitoring bills and energy consumption 05:19 – Why data analysis is not abstraction 05:45 – Critical thinking and asking the right questions 06:41 – Data can “lie”: examples and traps 07:40 – How to use data to increase sales and company results 08:10 – Data analysis as part of IT – different career paths 09:11 – Data Analyst, Data Scientist, Data Engineer, BI Developer – Differences 11:30 – Why it's easier to start as a data analyst 12:23 – Examples of people who have changed careers 13:19 – Why it's one of the best professions to enter IT 14:16 – Flexibility and remote work in data analysis 15:20 – Data analyst salaries at different career stages 16:25 – What industries do data analysts work in? 17:25 – Continuous development and visible impact on business 17:56 – Stability and a low entry barrier 18:26 – Support for the creator: subscribe and comment ❤️ 18:52 – Job offers for data analysts – examples 20:23 – What is data analysis in the professional definition? 22:23 – A typical workday for a data analyst – e-commerce case study 25:22 – The most common myths: mathematics, English, technical studies 26:56 – Paulina's story: from banking to analysis Data Science 27:26 – What tools do you need to learn (Excel, SQL, Power BI) 29:19 – Soft skills for data analytics: communication, curiosity 29:47 – Data storytelling and business context 30:14 – Development paths: from junior to freelancer and trainer 31:11 – Why this job is flexible and offers great prospects 31:40 – Summary and invitation to a free mini-course 🔔 SUBSCRIBE to the channel so you don't miss out on future videos about data analysis, changing careers, and careers in IT! 🔔 👩‍💻 WEBSITE: https://bideveloper.pl/ ✍️ BLOG: https://bideveloper.pl/blog/ 📱 FACEBOOK:   / bideveloperpl   🤳 INSTAGRAM:   / dagmaraanuszczyk   💼 LINKEDIN:   / dagmaraanuszczyk