#5 Balancing Work, Learning and Life in Data Science - DODS

🔍 Episode 5: "𝐁𝐚𝐥𝐚𝐧𝐜𝐢𝐧𝐠 𝐖𝐨𝐫𝐤 , 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐚𝐧𝐝 𝐋𝐢𝐟𝐞 𝐢𝐧 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞” is an absolute must-listen for all the data enthusiasts out there who understand the struggle of keeping up in this fast-paced field. 🚀 In this episode, we delve into both structured and unstructured methods, internal and external sources of knowledge, and spill the beans on our personal tips for goal setting and the importance of maintaining a constant routine. 📚🔄 And guess what? For the first time, we've transformed our 𝒑𝒐𝒅𝒄𝒂𝒔𝒕 𝒊𝒏𝒕𝒐 𝒂 𝒗𝒊𝒅𝒆𝒐 𝒇𝒐𝒓𝒎𝒂𝒕 on Spotify! Dive in and enjoy this Sunday evening. But that's not all – we've crafted a small poll 📊 for our listeners. Check it out and let us know your thoughts! Don't miss out on this knowledge-packed episode! 🚀 Subscribe, tune in, and let us know your thoughts. #DataScience #Podcast #LearningJourney #CareerGrowth #TechTalk #StayUpdated #DiariesOfaDataScientist 🚀📊 Resources mentioned in this episode (unpaid advertisement, personal recommendations): Me, myself and AI - https://sloanreview.mit.edu/audio-series/me-myself-and-ai/ digital kompakt - https://www.digitalkompakt.de/podcast/ minimal empires - https://www.podcast.de/podcast/3090494/minimal-empires the data scientist show - https://www.youtube.com/c/thedatascientistshow Sundas Khalid - https://sundaskhalid.com TLDR - https://tldr.tech deep learning academy: Andrew Ng + letter - https://www.deeplearning.ai/courses/ai-for-everyone/ (example) coursera - https://www.coursera.org udemy - https://www.udemy.com linkedin learning - https://www.linkedin.com/learning/ deep learning academy - https://www.deeplearning.ai khan academy - https://www.khanacademy.org