Avsnitt
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In episode #15 of Diaries of a Data Scientist (DODS) we explore the role of being a โDeveloper Advocateโ
โช๏ธ Explore why companies are clamouring for Developer Advocate and why developers are equally interested, despite it seemingly being an unpaid gig (or is it really - find out in the episode?). ๐ค
โช๏ธ Learn about the profile of a Developer Advocate (in case you want to go this path), their key responsibilities, and the essential skills they bring to the table. ๐ผ
โช๏ธ Discover the kind of individuals who thrive in this role and why they're crucial assets in bridging the gap between developers and companies. ๐
โช๏ธ Plus, explore how this position is gaining popularity worldwide and uncover the salary ranges across different countries! ๐ฐ
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
๐๏ธ Useful links (unpaid advertisement, personal recommendations):
Megan Lieu https://www.linkedin.com/in/meganlieu/ Tiffany Janzen https://www.linkedin.com/in/tiffany-janzen/Developer relations: https://en.wikipedia.org/wiki/Developer_relations#:~:text=Developer relations%2C abbreviated as DevRel,on purchases%2C of a product
What is developer relations: https://www.techielass.com/what-is-devrel/
Another interesting podcast episode on this topic: https://www.youtube.com/watch?v=DzeD1AshXrQ, @Prismic
How to get into the role: https://www.linkedin.com/pulse/what-heck-developer-advocate-how-become-one-hushen-savani/
Salary ranges:
https://www.glassdoor.de/Salaries/berlin-developer-advocate-salary-SRCH_IL.0,6_IM1020_KO7,25.htm?countryRedirect=true (2024) https://www.joberty.com/blog/developer-advocate-salary/#:~:text=A developer advocate in Germany,about โฌ6%2C500 per month. (2023) https://beincrypto.com/jobs/salary/developer-advocate+germany/ (2024)Search tip To check current positions in the market, please type 'Developer Advocate' into the LinkedIn search bar
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Dive with us into the world of data science with our latest episode, "๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐ ๐๐๐ฆ๐ฒ๐ฌ๐ญ๐ข๐๐ข๐๐: 5 ๐๐ฎ๐๐ฌ๐ญ๐ข๐จ๐ง๐ฌ ๐๐ฏ๐๐ซ๐ฒ ๐๐๐ง๐ญ๐จ๐ซ ๐๐ฌ ๐๐ฌ๐ค๐๐.โ
In this episode, we address burning questions and provide invaluable insights to fuel your data science journey.
Have you ever wondered? ๐ค
I have a bachelorโs degree in law, art & etc. How can I start my data science learning journey? What is my road map? Is it enough just having a data science bootcamp course to get into the data science field? Do I need a higher degree? How important are soft skills? Why is building a network important in tech? How do data scientists work? Are they looking for projects in a company and automating them, or do they know all databases? What are the development and career options once I enter the Data Science Path?If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
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Saknas det avsnitt?
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In todayโs episode we answer the question of "How do you know what is real and what is fake anymore in the age of AI?"
In this episode, we're diving deep into four crucial chapters of this topic:
Exploring recent examples of AI content (text and image) generation in academia and private life. Diving into techie terms to uncover current solutions for detecting AI-generated text, images, and videos (hello, deepfakes!). Discussing the impactful consequences on our society that we're currently observing.And in the fourth and most practical chapter, we'll be sharing our research and practical findings on how to detect an AI-generated image or text. ๐ก๏ธ
Don't miss out on this eye-opening conversation! Tune in now! (For our fellow nerds ๐ค we prepared a list of resources below ;-) )
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
References used in crafting this episode (unpaid advertisement, personal recommendations):
โช๏ธAI-Generated images:: https://lnkd.in/eiiG2tAE (article: https://lnkd.in/eVgdqU6e) โช๏ธAI-Generated Text: https://lnkd.in/eqmi4K83 / (article: https://lnkd.in/ef_CsXhT)
โช๏ธPapers on Elsevier (To date, the article remains unchanged, and unrestricted):
https://scholarlykitchen.sspnet.org/2024/03/20/the-latest-crisis-is-the-research-literature-overrun-with-chatgpt-and-llm-generated-articles/ https://www.sciencedirect.com/science/article/pii/S1930043324001298โช๏ธAI Avatar as influencers on TikTok and instagram: https://www.instagram.com/yoursisbillie/?hl=en
โช๏ธ"Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human Solutionsโ: https://dl.acm.org/doi/fullHtml/10.1145/3544548.3581318
โช๏ธSora GenAI: https://www.crn.com/news/security/2024/openai-we-ll-help-you-detect-videos-made-with-sora-genai-tool
โช๏ธDeepfake Detection: "A fast and Scalable Solution using Machine Learning": https://medium.com/geekculture/deepfake-detection-a-fast-and-scalable-solution-using-machine-learning-618e79fcb07f
EUROPEAN DATA PROTECTION SUPERVISOR: https://www.edps.europa.eu/data-protection/technology-monitoring/techsonar/deepfake-detection_en
โช๏ธC2PA: OpenAI: https://openai.com/sora#safety OpenAI: https://help.openai.com/en/articles/8912793-c2pa-in-dall-e-3
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This time we discuss the topic of โ๐๐ฎ๐ฌ๐ญ-๐๐๐ฏ๐: ๐๐ง๐๐ฅ๐ฒ๐ญ๐ข๐๐ฌ & ๐๐ ๐๐จ๐ฆ๐ฆ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ ๐ข๐ง ๐๐ง๐ญ๐๐ซ๐ฉ๐ซ๐ข๐ฌ๐๐ฌโ. Trust us, there's a lot to uncover! In this episode, we explore how fostering Analytics and AI communities can benefit both companies and employees.
Mutual benefits for enterprises and data professionals alike:
๐ Networking opportunities ๐ค Project collaborations that foster innovation, growth & transparency ๐ Peer learning for lonely wolves ๐ค Support from people alike ๐ฅ Non-formal meetups where problem-solving becomes a collective endeavor
P.S. Jasmin will be delivering a talk on the significance of Analytics and AI communities in enterprises in Stuttgart on April 25th. Don't miss out! Register for the event here: https://www.biordie.com
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
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Episode 11 of "Diaries of a Data Scientist" - ๐๐จ๐ฆ๐๐ง ๐ข๐ง Data Science & ๐๐: ๐๐ฎ๐ซ๐ซ๐๐ง๐ญ ๐ญ๐ซ๐๐ง๐๐ฌ, statistics, networks and opportunities.
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
Statistics:Computer Science & ICT Students Germany 2022-2023, accessed via: https://franziska-hauck.medium.com/it-insights-computer-science-ict-students-in-germany-2023-addf2d08f525
Study & Good Practice Guide - Women in Tech: https://international.eco.de/women-in-tech-a-good-practice-guide-for-companies/#
50% of women in tech roles leave them by the age of 35. Study by Girls Who Code and Accenture: https://www.accenture.com/us-en/about/corporate-citizenship/tech-culture-reset, read also here.
Communities: Conferences 2024: (please, check our previous episodes for links) Mentorship Follow corporate/social influencers like @Franziska Hauck, @Tim Verhoeven, @Anemari Fiser--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
In our 10th episode we delve into the intricate world of interviews, sharing our insights and advice on what to ๐๐ฑ๐ฉ๐๐๐ญ ๐๐๐๐๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ญ๐ ๐ฌ๐๐ข๐๐ง๐๐ ๐ข๐ง๐ญ๐๐ซ๐ฏ๐ข๐๐ฐ journey and how to ace it!
Among other things, we discuss:
โช๏ธ The challenge of translating ML/AI tasks into ๐ญ๐๐ง๐ ๐ข๐๐ฅ๐ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ ๐ฏ๐๐ฅ๐ฎ๐ perspectives.
โช๏ธ Tips on how to ๐๐จ๐ง๐๐ฎ๐๐ญ ๐ฒ๐จ๐ฎ๐ซ๐ฌ๐๐ฅ๐ and ๐ฐ๐ก๐๐ญ'๐ฌ ๐๐ฑ๐ฉ๐๐๐ญ๐๐ ๐๐ซ๐จ๐ฆ ๐ฒ๐จ๐ฎ during the interview process, as well as what you should anticipate walking into that room.
โช๏ธ The ongoing effort required to ๐ฌ๐ญ๐๐ฒ ๐ฎ๐ฉ-๐ญ๐จ-๐๐๐ญ๐ in this dynamic field and much more that often goes unnoticed from behind the desk.
๐๐๐ซ๐'๐ฌ ๐ ๐ฌ๐ง๐๐๐ค ๐ฉ๐๐๐ค ๐๐ญ ๐ฐ๐ก๐๐ญ'๐ฌ ๐ข๐ง ๐ฌ๐ญ๐จ๐ซ๐ (unpaid advertisement, personal recommendations):
Soft skills development: Surrounded by Idiots: The Four Types of Human Behavior and How to Effectively Communicate with Each in Business (and in Life) by Thomas Erikson Newsletter like TLDR AI https://tldr.tech/ai**, The Pragmatic Engineer** https://newsletter.pragmaticengineer.com/about , Towards Data Science Newsletter via Medium โฆ STAR method for answering behavioral questions in interviews https://www.indeed.com/career-advice/interviewing/how-to-use-the-star-interview-response-techniqueIf you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
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๐ Are you eager to land your dream job? Look no further! Join us as we unveil the essential steps every aspiring data scientist ๐บ๐ฏ๐ถ๐ผ๐ณ๐ซ ๐ป๐จ๐ฒ๐ฌ ๐ฉ๐ฌ๐ญ๐ถ๐น๐ฌ venturing into the job market.
If you like our podcast, please consider leaving a review on Spotify, subscribe on YouTube, and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
In this episode, we delve into the โผ๏ธessential steps aspiring data scientists must take before applying for ๐positions in the field. Drawing from personal experiences, mentoring sessions, and consultations, we've crafted a comprehensive guide to help you navigate the complexities of the data science landscape.
In this episode, we'll delve deep into:
โช๏ธ ๐๐ซ๐๐ฉ๐๐ซ๐ข๐ง๐ ๐๐จ๐ซ ๐๐ฎ๐๐๐๐ฌ๐ฌ: Discover what steps you need to take before even thinking about hitting that "apply" button.
โช๏ธ ๐๐ญ๐ซ๐๐ญ๐๐ ๐ข๐ ๐๐ฉ๐ฉ๐ซ๐จ๐๐๐ก: Learn the essential strategies for crafting a standout application that catches the eye of recruiters.
โช๏ธ ๐๐ก๐จ๐จ๐ฌ๐ข๐ง๐ ๐ญ๐ก๐ ๐๐ข๐ ๐ก๐ญ ๐ ๐ข๐ญ: Explore the crucial factors to consider when selecting the perfect company for your career aspirations.
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
@Kaggle: https://www.kaggle.com
@GitHub: https://github.com
@Kununu: https://www.kununu.com
@Glassdor: https://www.glassdoor.de/index.htm
@Linkedin: https://www.linkedin.com
ML algorithms discussed in the episode:
Liner regression Ridge, Lasso, Elastic Net regression Logistic regression Decision tree Random forest SVD k-NN DBSCAN K-means Naive Bayes--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
๐๐ฉ๐ข๐ฌ๐จ๐๐ 8: "10 Data Science Events you should visit in Germany in 2024โ ๐
In this episode, we've curated a list of must-attend gatherings in the dynamic world of ๐๐๐ญ๐ ๐๐ง๐ ๐๐ ๐ซ๐ข๐ ๐ก๐ญ ๐ก๐๐ซ๐ ๐ข๐ง ๐๐๐ซ๐ฆ๐๐ง๐ฒ. Whether you're a seasoned professional or just diving into the data science world, these events are sure to elevate your knowledge and networking game. ๐
If you like our podcast, please consider leaving a review on Spotify, subscribe on Youtube and leave a comment and/or ๐! This would help us a lot โฅ๏ธ
Here's a sneak peek at what's in store (unpaid advertisement, personal recommendations):
German Data Science Days: https://www.gdsd.statistik.uni-muenchen.de/german-data-science-days-2024/index.html (offline) Women in Data Science Worldwide conference at Stanford Uni: https://www.widsworldwide.org/events/event/wids-stanford-2024/ (offline + online) BARC DATA festival #Munich: https://barc.com/events/data-festival/ (offline) PyCon DE & PyData Berlin: https://2024.pycon.de (offline + online) Rise of AI Conference: https://riseof.ai/conference-2024/ (offline + online) Tech Show Frankfurt: Big Data & AI World: https://www.bigdataworldfrankfurt.de (offline) Data & AI Summit from Databricks: https://www.databricks.com/dataaisummit/ (offline + online) KI-Festival Heilbronn: https://ki-festival.de (offline) Women in Data & AI: https://women-in-data-ai.tech (offline) Level Up Your Data - Community Treffen: https://www.linkedin.com/events/levelupyourdata-workshopstuttga7150498147624968193/about/ (offline) BI or DIEP.S. This episode was inspired by โData & AI Event Calendar 2024โ from Sarah Stemmler. Go check out her profile and the calendar ๐ช
https://synsugar.com/blog/data-ai-events-die-sie-2024-nicht-verpassen-sollten
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In this special episode, we dive into setting realistic goals, new years resolutions and setting the stage for an even more incredible 2024.
All software, books and courses mentioned are unpaid advertisement and personal recommendations.
Task managers:
Notion TaskadeHabit Trackers:
e.g. Habit Tracker https://apps.apple.com/de/app/habit-tracker-tagesplaner/id1438388363Data Sciences Platforms & courses:
Data Science Courses on coursera Data Science Courses on udemy Reading and writing articles on medium DeepLearning.AI TensorFlow Developer via Coursera (not for free) Currently for free short courses on DeepLearning.AI https://www.deeplearning.ai/short-courses/Books mentioned:
For Business and Personal Development
โCREATIVE PERSONAL BRANDINGโ by Juergen Salenbacher โFrom Good to Greatโ by Jim Collins โGoalโ by Eliyahu M. Goldratt โGeniuses and Outsidersโ by Malcolm Gladwell โQuitโ by Annie Duke โAtomic Habits" by James Clear "The 7 Habits of Highly Effective People" by Stephen R. Covey "Mindset: The New Psychology of Success" by Carol S. Dweck "Inspired: How To Create Products Customers Love" by Marty Cagan โThinking Fast & Slowโ by Daniel KahnemannFor AI & Data Science
โHuman Friendly Automation: Arbeit und Kรผnstliche Intelligenz neu denken โ by Hans-Joachim Gergs (Hg.), Lars Schatilow (Hg.), Barbara Langes (Hg.), Tobias Kรคmpf (Hg.) โHuman Compatible: Artificial Intelligence and the Problem of Controlโ by Stuart Russel "The Art of Data Science" by Roger D. Peng and Elizabeth Matsui--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
Welcome to the Holiday Special โ๏ธ๐!
In this festive episode, we're unwrapping the secrets behind the making of "Diaries of a Data Scientist." Join us as we share our journey, the tools we use, and some holiday cheer!
We share our motivation, why we chose the Podcast format and more details about our target audience. This episode is especially interesting if you are working full-time and want to hear how Kate and Jasmin are organizing producing this workshop next to their full-time Data Science employments.
In the following we share all our software and hardware being used to produce our Podcast. All are our personal recommendations and are unpaid-advertisements. For all paid services we pay ourselves ๐ฌ
๐ฉ๐ผโ๐ป Software Savvy: The digital tools we use for creating the initial vision of the podcast, recording and editing. From Figma to Riverside, we cover it all.
Figma for visuals, e.g. Logo, Podcast Cover and Youtube thumbnails. ChatGPT with Plus Subscription (roughly 23 โฌ a month) to help us with writing show notes, LinkedIn Posts & Co. SMASHINGLOGO for initial inspiration regarding Logos. We did not like them very much and in the end designed a very minimalistic ones ourselves from scratch. License Free Font for commercial use to design our logo found here Pixabay for a license-free intro and outdo jingle, that plays with every episode. We also checked out the Youtube Audio Library but it was hard to find something that we had in mind. Adobe Voice Enhancer, e.g. if you donโt have good mics yet. Free trial. Google Account for Storage, Mail, accessing Youtube โฆ Notion for our remote-organization, documentation, collecting ideas โฆ Riverside.fm for remote audio & video recording of our podcast. This will make it easy to also include guests at a later stage. We also love the AI features. Paid tier (between 15-19 euro a month). We compared this with Zencastrand Squadcast, but liked the very intuitive handling of Riverside and their functionality best. GarageBand for editing audio, iMovie for editing video (both are Apple solutions and come out-of-the box with the Macbook) Inshot for additional visual editing for socials. We used this only for the trailer and did not see any further need since then. Carrd for our Website https://diariesods.carrd.co. It was built within 30 minutes. Absolutely love this for simple business-card like websites! LinkedIn for engagement. We are publishing our podcast Otherwise, we have just created BI or Die - the Podcast which was mentioned, where Jasmin was a guest in summer 2023.๐๏ธHardware Heaven: A look at the microphones, headphones & other hardware that brings our podcast to life.
Condenser USB mic suitable for voice & podcast: Rode NT-USB + . Check out reviews, e.g. on YouTube to find the best mic for you & your budget. Costs between 150 and 170โฌ Any Laptop will work: we use MacBook Pro since this is what we had at home. So no need to buy any new devices! Headphones for hearing each other without risking echo: Any headphones will work, we use AirPods from Apple, because they are nice & small. Any Ring Light or LED Video Light will work. We use: Ring Lights from Amazon (between 80 - 100 โฌ). We are considering switching to square lights to avoid circular reflection in the eyes.Equipment can really influence the sound quality:
If you want to hear the difference yourself, check out our first episode vs. the current one. In the first episode, we did not have professional mics and used the inbuilt mics of Apple AirPods and Apple AirPods Max respectively. Lastly, we used Adobe Speech Enhancer to improve on the quality. Nevertheless, you can clearly hear the added richness with better mics and not needing post-sound enhancing.
๐ Status 25th December we have 21 Subscribers and 280 clicks on our channel on Youtube.
We use the analytics functions from Spotify for Podcasters and Apple Podcasts to monitor engagement.
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๐ Episode 5: "๐๐๐ฅ๐๐ง๐๐ข๐ง๐ ๐๐จ๐ซ๐ค , ๐๐๐๐ซ๐ง๐ข๐ง๐ ๐๐ง๐ ๐๐ข๐๐ ๐ข๐ง ๐๐๐ญ๐ ๐๐๐ข๐๐ง๐๐โ is an absolute must-listen for all the data enthusiasts out there who understand the struggle of keeping up in this fast-paced field. ๐
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. ๐๐
And guess what? For the first time, we've transformed our ๐๐๐ ๐๐๐๐ ๐๐๐๐ ๐ ๐๐๐ ๐๐ ๐๐๐๐๐๐ on Spotify! Dive in and enjoy this Sunday evening.
But that's not all โ we've crafted a small poll ๐ for our listeners. Check it out and let us know your thoughts!
Don't miss out on this knowledge-packed episode! ๐ Subscribe, tune in, and let us know your thoughts.
#DataScience #Podcast #LearningJourney #CareerGrowth #TechTalk #StayUpdated #DiariesOfaDataScientist ๐๐
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--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
๐จSet your timers for a power-packed 30-minute ride as we're delving deep into the world of breakthrough technologies like Generative AI, and the burning questions they raise for data scientists in the here and now:
What are the effects and consequences of these game-changing technologies? (incl. business side) Whether you're an aspiring data scientist or a seasoned pro, we'll explore some important considerations for individuals looking to dive into this dynamic field. Is data science still the career of your dreams? Do you still need to learn how to program to become a data scientist?Listen also on:
๐ง Spotify: https://podcasters.spotify.com/pod/show/jasmin--kate/episodes/AI-Revolution-in-Data-Science-e2ce2hl
๐ง Apple Podcast: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
๐ฌ YouTube: https://youtu.be/3yIfgPyCI9A?si=5iGfZCnJ8M0Z9LU0
Influencers mentioned in the episode (unpaid advertisement/recommendation):
Sundas Khalid: https://www.linkedin.com/in/sundaskhalid/ Allie K. Miller: https://www.linkedin.com/in/alliekmiller/ Daliana Liu: https://www.linkedin.com/in/dalianaliu/๐ฅ Join us in Episode 4 as we navigate through the fascinating intersection of data science, emerging technologies, and career choices. It's not just a podcast; it's a journey into the heart of the data-driven reality!
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In our latest episode of 'Diaries of a Data Scientist,' we deep dive into the essential soft skills every data enthusiast should master! ๐ง ๐ก
Join us for a captivating 30-minute exploration as we discuss the art of communication, time-management, the magic of storytelling, the role of creativity, problem-solving prowess, and the resilience that fuels success in the world of data science.
Listen also on:
๐ Spotify: https://anchor.fm/jasmin--kate
๐ Apple: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
๐ YouTube: https://www.youtube.com/watch?v=HK7mhEd-8C0
Learning sources mentioned in the episode:
https://www.linkedin.com/learning/data-visualization-storytelling https://gdexa.com/de/skilling/masterclasses/--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
Breaking into Data Science:
Dive into the world of data science and explore why it might be the right role for you. We discuss the diverse roles within this field and the essential skills you need.
YouTube: https://www.youtube.com/@DiariesOfADataScientist/featured
Apple Podcast: https://podcasts.apple.com/de/podcast/diaries-of-a-data-scientist/id1710961657
Spotify Podcast: https://open.spotify.com/show/1DAelRe22W8vBHK7rTU361
--- Send in a voice message: https://podcasters.spotify.com/pod/show/jasmin--kate/message -
Imagine mentoring as an art canvas, awaiting your unique strokes of mentorship mastery. Drawing from our 4+ years mentoring journey, we present 10 pivotal components for success. Whether you're a mentee seeking direction or a mentor eager to guide, this episode is for you. Tune in and let us guide you toward fulfilling mentorship journey.
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Our podcast episodes will be released every two weeks, featuring a new topic rooted in our shared experience as Data Scientists in the industry, as well as mentoring global Data Talents.
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We're excited to dive into discussions covering a wide spectrum of data science themes and aim to offer valuable insights and actionable advice to our listeners, whether you're a beginner or an expert.
