Best Free Data Science Resources | Start Your Career | Summary and Q&A

TL;DR

Find out the top free resources for aspiring data scientists and enhancing your current skill set.

Key Insights

• 🥶 Free resources have become valuable for aspiring data scientists due to the high cost of data science education and tools.
• 😫 Google Data Set Search, Kaggle, and University of California Irvine offer diverse and readily available data sets for practice.
• 👻 Orange Data Mining, a GUI tool, allows beginners to grasp data science concepts without the need for extensive coding knowledge.
• 👌 Cassie K's machine learning course is highly regarded for its accessibility and ability to make complex concepts user-friendly.
• 📖 Open-source books and cheat sheets provide valuable references for data initiatives.
• 😫 Setting up Google Alerts helps data scientists stay updated with the latest trends in the field.
• 🤩 Practical experience, such as working on data-related projects, is key for landing a data science job.

Transcript

do you want to know what resources to access for free to become a data scientist hi everyone my name is george furykin co-host of the lights on data show and in today's episode we have an ai and data science top voice and expert t scott clan daniel and he'll showcase the best free resources to use if you want to become a data scientist or to improv... Read More

Questions & Answers

Q: What are the five categories of free resources for data scientists?

The five categories are data, software, training, references, and staying updated with trends.

Q: Can you suggest any specific data sets for beginners?

Google Data Set Search, Kaggle, and University of California Irvine offer a variety of free data sets for beginners to practice with.

Q: Do you recommend learning Python or R for data science?

It depends on your familiarity. If you're already comfortable with one language, start with that. Otherwise, consider starting with a graphical user interface (GUI) tool like Orange Data Mining.

Q: How can I stay updated with the latest trends in data science?

Set up a Google Alert with keywords like "data science," "machine learning," and "artificial intelligence" to receive relevant articles and updates in your email.

Q: Are there any recommended free courses to start learning data science?

Cassie K's course "Making Friends with Machine Learning" is highly recommended for beginners as it simplifies complex concepts and offers an easy-to-understand approach.

Q: What are the five categories of free resources for data scientists?

The five categories are data, software, training, references, and staying updated with trends.

More Insights

• Free resources have become valuable for aspiring data scientists due to the high cost of data science education and tools.

• Google Data Set Search, Kaggle, and University of California Irvine offer diverse and readily available data sets for practice.

• Orange Data Mining, a GUI tool, allows beginners to grasp data science concepts without the need for extensive coding knowledge.

• Cassie K's machine learning course is highly regarded for its accessibility and ability to make complex concepts user-friendly.

• Open-source books and cheat sheets provide valuable references for data initiatives.

• Setting up Google Alerts helps data scientists stay updated with the latest trends in the field.

• Practical experience, such as working on data-related projects, is key for landing a data science job.

• Platforms like Data for Good and AI for Good offer opportunities to gain hands-on experience and work on real-world projects with non-profit organizations.

Summary & Key Takeaways

• The episode features T. Scott Clendaniel, an AI and data science expert, who shares the best free resources to become a data scientist or improve existing data science skills.

• The resources are categorized into five categories: data, software, training, references, and staying updated with trends.

• Specific recommendations include Google Data Set Search, Kaggle, Orange Data Mining, Cassie K's machine learning course, open-source books, and cheat sheets.