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This week, we analyze 10 ChatGPT skills you need to learn in 2024. See why learning ChatGPT is crucial for anyone looking to make waves in the AI-driven job market, boosting opportunities and earnings.
We’ve also got some cool reads for you on a big cybersecurity issue with Python, and the latest on synthetic voice tech. Perfect for getting up to speed with what’s new in AI and tech.
Generative AI skills aren’t just a nice to have in 2024 – they’re key to getting a job or your next promotion. As organizations working to figure out how to leverage AI and professionals who can lead these efforts are in high demand and getting paid for their knowledge. In fact, job postings requiring ChatGPT expertise have surged by over 5,000% since early 2023.
In this post, we cover:
Whether you’re aiming to enhance your current role or venture into exciting new career paths, mastering ChatGPT skills is your ticket to success. Our Generative AI Fundamentals skill path provides a comprehensive, hands-on curriculum that will make you stand out in a crowded job market.
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📖 Fake Python Infrastructure A sophisticated cyber attack campaign affected over 170,000 users. Exploiting fake Python infrastructure, attackers employed various tactics, highlighting the importance of cybersecurity measure. Read more 📖 Navigating the Challenges and Opportunities of Synthetic Voices OpenAI introduces Voice Engine, capable of replicating any voice based on a brief audio sample. Enables translation, marketing/testing, and AI-generated podcasts. Raises concerns about voice misuse. Read more
Makeover Monday is a weekly social data project improving data analysis and visualization skills, focusing on Tableau. Great resource for practicing data handling abilities. Explore Makeover Monday |
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Project Spotlight
Sharing and reviewing others’ projects is one of the best things you can do to sharpen your skills. Twice a month we will share a project from the community. The top pick wins a $20 gift card!
This week, we’re highlighting the machine learning project of @jeanjanssens on Credit Card Customer Segmentation using Unsupervised ML. This project stands out for its clear structure, objective definition, analytical depth, and thorough cluster descriptions. The work demonstrates effective use of machine learning to identify customer patterns and inform decisions.
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Want your project in the spotlight? Share it in the community. |
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Learner spotlight Meet Alla: A stay-at-home mom turned data analyst. With an electrical engineering background but no programming knowledge, she embarked on a career change through Dataquest. Its structured approach helped her smoothly transition from basics to advanced topics. Alla particularly valued the community support, rich resources, and the opportunity to ask questions, making her learning journey both effective and engaging. Her advice? “Plan your week and schedule a specific time frame for your study. Use DQ resources and ask the community for help/clarifications if you don’t clearly understand the topic. You might think – It is a silly question, why should I ask? But this is your way to learn and also make networking.” Read full story here. Interested in AI and data skills like Alla? We recommend you start with our Junior Data Analyst path, perfect for getting started. |
High-fives from Vik, Celeste, Casey, Anna P, Anna S, Anishta, Bruno, Elena, Mike, Daniel, and Brayan.