DESISTIU DA AREA DEPOIS DE 5 ANOS E 2 FACULDADES
Summary
TLDRThe speaker discusses the challenges of finding a job in data science and statistics, despite having two degrees from reputable universities. They emphasize the importance of practical experience over theoretical studies and suggest that networking and English proficiency are crucial for job opportunities. The script also touches on the saturation of the job market, the value of internships, and the need for a strong LinkedIn profile. The speaker shares personal experiences and provides advice on how to stand out in a competitive job market.
Takeaways
- 🎓 The individual discussed in the script gave up on their academic field after 5 years of studying statistics and data science at university, expressing frustration with the lack of results and high theoretical nature of their studies.
- 💼 The speaker emphasizes the importance of choosing a university or career path wisely, suggesting that one should consider whether their field of interest has job opportunities or the potential for retraining to gain experience.
- 🌐 The speaker highlights that most jobs, both in Brazil and the United States, are obtained through networking rather than formal applications, suggesting the importance of building connections in the job market.
- 🏫 The script mentions the potential downsides of certain academic programs, such as low practical application and limited networking opportunities, which may not be conducive to securing employment.
- 📈 The speaker recommends practical skills and experience over purely theoretical education, suggesting that hands-on learning and a focus on practical outcomes can be more beneficial for career advancement.
- 💡 The script suggests that doing an internship while in college can be valuable, as it provides practical experience that may be necessary for entering the job market, especially in a competitive field like tech.
- 🌟 The speaker points out the saturation in the job market, particularly in tech, and advises caution when choosing a university or career path due to the high competition and potential for unemployment.
- 💬 The importance of a strong LinkedIn profile and networking is stressed, as these can lead to job opportunities without the need for formal applications.
- 📚 The script suggests that having a combination of education and practical skills, such as knowing English and having a strong technical background, can open up more job opportunities.
- 🚀 The speaker encourages continuous learning and adaptation, as the job market is cyclical and conditions can change, creating new opportunities for those who are prepared.
Please replace the link and try again.
Outlines

This section is available to paid users only. Please upgrade to access this part.
Upgrade NowMindmap

This section is available to paid users only. Please upgrade to access this part.
Upgrade NowKeywords

This section is available to paid users only. Please upgrade to access this part.
Upgrade NowHighlights

This section is available to paid users only. Please upgrade to access this part.
Upgrade NowTranscripts

This section is available to paid users only. Please upgrade to access this part.
Upgrade NowBrowse More Related Video

How to Become a Data Scientist in 2024? (complete roadmap)

From Tier 3 College Fresher To Data Analyst, No Code, No Internship, Google Skills

Degrees which are actually worth it in 2025

Starting a Career in Data Science (10 Thing I Wish I Knew…)

University Selection with low Marks | Best Degrees | Low Marks Students Admission Guidance

Will Quant Finance End Up Like Data Science
5.0 / 5 (0 votes)