Ainda vale a pena migrar para a área de dados?

💻 Is it worth migrating to the data field? Discover the opportunities, challenges, and how to build your career with data and AI. ----------------------------------------------------------------------- 🎓 LEARN MORE ABOUT HASHTAG'S FIRST POSTGRADUATE COURSE IN DATA ANALYTICS AND ARTIFICIAL INTELLIGENCE APPLIED TO BUSINESS: https://lp.fnat.com.br/pos/dados-ia/i... 🎓 CLICK HERE TO LEARN MORE ABOUT OUR COMPLETE PYTHON COURSE IMPRESSIONADOR: https://lp.hashtagtreinamentos.com/es... 📘 CLICK AND ACCESS THE FREE MINI-COURSE ON DATA ANALYSIS AT PYTHON: https://dlp.hashtagtreinamentos.com/p... ----------------------------------------------------------------------- 💻 Recommended video: The biggest mistake in Data Analysis and how Python can save you    • O maior erro em Análise de Dados e como Py...   ----------------------------------------------------------------------- 🧑‍💻 TO HIRE HASHTAG FOR YOUR COMPANY: https://www.hashtagtreinamentos.com/t... ----------------------------------------------------------------------- 💻 Have you ever wondered if it's still worth migrating to the data field? In this video, I share my honest view on this topic and show why this market continues to be booming, full of opportunities for those willing to prepare. I'll show you how data is behind strategic decisions of large companies like Netflix, banks, investment funds, social networks, and e-commerce businesses, but also of small businesses that today can access affordable analytical tools. I also address one of the most common questions: age and education. Do you need to be 20 years old or have a specific college degree to enter the field? The answer might surprise you. Furthermore, you'll understand the different roles in the field—analyst, engineer, and data scientist—which tools really matter (such as Python, SQL, Excel, Power BI, and cloud solutions), and why soft skills like communication and business acumen can be your biggest differentiator. Finally, I'll also introduce you to a special new feature that can accelerate your career transition and open new doors in this ever-growing market. 🔔 Liked it? Then take the opportunity to like, subscribe to the channel, and activate the bell so you don't miss any content about Python and the data field. ----------------------------------------------------------------------- 📌 Hashtag Programming ► Subscribe to our channel: http://bit.ly/3c0LJQi ► Activate notifications (click the bell)! ► Like our video! ----------------------------------------------------------------------- 🔗 Social Media ► Blog: https://bit.ly/2MRUZs0 ► YouTube: http://bit.ly/3c0LJQi ► Instagram: https://bit.ly/3o6dw42 ► Facebook: http://bit.ly/3qGtaF2 Here on the Hashtag Programação channel videos, we teach various Python tips so you can develop your skills in this programming language and create your own projects and automations! ----------------------------------------------------------------------- ⏱️ Lesson Content 00:00 Introduction – Is it still worth migrating to the data field in 2025? 00:43 Practical examples: how data analysis already influences your daily life 01:19 The impact of Artificial Intelligence on the expansion of the data field 02:20 Migrating to data after 20, 30, 40 or 50 years old – does age matter? 03:30 Do I need a college degree to work with data? The truth of the market 04:12 High-demand careers: what are the main areas within data 05:12 Data Engineer – role, functions and most used tools 05:41 Data Analyst and BI Analyst – differences and opportunities 06:16 Data Scientist and Machine Learning Engineer – what do they do? 06:52 Essential tools: Python, SQL, Power BI, Excel and Cloud 08:17 The importance of a data portfolio with practical and strategic projects 09:21 Soft skills in the data area – communication and business acumen 10:00 Special spoiler – Postgraduate degree in Data Analytics and Artificial Intelligence applied to business #python #hashtagprogramacao