Podcast thumbnail for TechGuide

by TechGuide

5.0(13 reviews)
83 episodes
Updated Weekly
Accepts GuestsHas SponsorsLocation 🇺🇸
74

Podcast Authority

Beta
GoodBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality89
Social0
YouTube76
Engagement71

Podcast Overview

TechGuide was created with a simple mission in mind: Develop up-to-date, comprehensive, and easy-to-use informational resources for our readers. This podcast is an extension of the TechGuide website, which contains degree and career overviews, career profiles, and other guides.

Language

🇺🇲

Publishing Since

3/1/2023

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74

Podcast Authority

Beta
GoodBased on show quality, social media presence, reviews, charts, and more
Pod Engine
Quality89
Social0
YouTube76
Engagement71
9
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1
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9
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excellent
Episode Length
24 minutes
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good
Publishing Consistency
Every 9 days

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Recent Episodes

Episode thumbnail for 82. Landing your First Job In Data Science with Jules Malin

April 9, 2025

82. Landing your First Job In Data Science with Jules Malin

<p>In this episode, Ryan sits down with Jules Mailin — data science professor at the University of San Diego and former data science leader at GoPro — to unpack the real strategies aspiring data professionals need to break into the industry.Jules shares his own pivot story from operations to data science, the common myths about landing a role, and the practical steps undergrads (or career switchers) can take to stand out in a competitive job market. If you’re applying to hundreds of roles and getting ghosted, this is your blueprint to turn it around.💡 What You’ll Learn:Why imposter syndrome is your biggest enemy — and how to beat itThe three most effective education paths into data scienceWhat hiring managers actually look for in your resumeHow to build a compelling portfolio (with non-cliché projects)How to reverse-engineer job descriptions to tailor your resumeThe secret power of referrals — and how to land one on LinkedInWhy storytelling is a must-have skill for technical candidatesThe importance of understanding your target industry domain🛠 Jules’ Tips for Aspiring Data Scientists:Focus on core skills: SQL, Python, and business problem-solvingCreate a full-scope portfolio: Include a business case, notebook, and executive-ready summaryAvoid copy/paste projects: Skip Titanic and Kaggle clones — go find unique public datasetsBe intentional: Don’t “spray and pray” your resume — tailor it to your dream roleUse LinkedIn wisely: Reach out to alumni, second-degree connections, and always include your resume in DMsGo beyond online: Networking in person is underrated and powerful#datascience #jobseeker</p>

Episode thumbnail for 81. How to Future-Proof Your Career with AI Skills in 2025 and Beyond with Aleksandra Przegalinska

March 26, 2025

81. How to Future-Proof Your Career with AI Skills in 2025 and Beyond with Aleksandra Przegalinska

<p>AI isn’t just a tool — it’s becoming a teammate, a critic, and even a decision-maker. In this episode, Dr. Aleksandra Przegalińska — a global AI researcher and MIT fellow — joins TechGuide to explore how students and professionals can collaborate with AI, not compete against it.</p><p>From AI's growing influence in creative industries to real-world prompting tips, Aleksandra shares cutting-edge insights on using AI responsibly and effectively. Plus, hear about her groundbreaking experiment writing a book with ChatGPT, Gemini, and Claude.</p><p>If you’re a student, marketer, or anyone curious about working with AI, this episode will change the way you think about tech in your life and career.</p><p><br /></p><p><strong>What You’ll Learn:</strong></p><li><p>Why every student needs to understand AI, regardless of their major</p></li><li><p>How AI is changing creative industries — and what that means for marketers</p></li><li><p>The art of prompting: How to get better results from ChatGPT and other tools</p></li><li><p>Which skills will matter most in an AI-driven workforce</p></li><li><p>Real examples of using AI as a collaborator, not just a generator</p></li><li><p>Tips on finding legit resources to learn AI</p></li><li><p>How hybrid teams of humans + AI will shape the future of work</p><p><br /></p><p>Timestamps:</p><p>00:00: Intro: Why students must understand AI<br />01:20: AI is the new internet: A universal platform<br />02:45: Which industries AI is impacting most<br />04:15: How AI is changing the creative process<br />05:40: Ethical concerns + AI delegation in daily life<br />07:10: Prompting tips: How to get better responses<br />09:20: Why long, specific prompts work better<br />10:40: Creative use case: Using AI as a critic<br />13:15: Avoiding AI-generated content fatigue<br />15:00: ChatGPT lingo and standing out with authenticity<br />16:40: Skills students need to thrive alongside AI<br />18:00: Human-AI collaboration in hybrid teams<br />19:30: Everyone uses AI — how to stand out anyway<br />20:45: Projects and experiments that impress in AI fields<br />23:00: Final advice: Where students should start with AI<br />24:00: Free courses and resources to learn AI<br />25:00: Where to connect with Aleksandra</p></li>

Episode thumbnail for 80. How to Break Into Data Science (and Land a High-Paying Job) with Dr. Gene Ray

March 19, 2025

80. How to Break Into Data Science (and Land a High-Paying Job) with Dr. Gene Ray

<p>Want to break into data science and land a high-paying job? In this episode of The Tech Guide Podcast, we sit down with Dr. Gene Ray, a professor at Kennesaw State University and an industry expert who has helped countless students launch their careers in data science.Dr. Ray shares insider tips on:✅ The most important skills to learn (Hint: It’s not just coding!)✅ The best programming languages for data science✅ How to get hands-on experience while still in school✅ The role of AI in data science (and whether it’s coming for your job)✅ How to stand out in interviews and impress top employersWhether you're a student, career switcher, or just curious about data science, this episode is packed with actionable advice to help you turn classroom knowledge into a successful career.Timestamps:0:00 - Welcome to The Tech Guide Podcast0:30 - From Student to Data Science Pro: What It Takes2:00 - Meet Dr. Gene Ray: His Journey &amp; Expertise4:00 - The #1 Skill You Need to Succeed in Data Science5:20 - Python vs. R vs. SAS: Which Language Should You Learn?6:45 - Do You Need to Be Good at Math for Data Science?8:30 - Data Science Career Paths: Which One is Right for You?10:15 - How to Get Hands-On Experience in College (Even Without an Internship)11:45 - Best Side Projects to Build Your Data Science Portfolio13:00 - Real Student Success Stories: How They Landed Jobs14:30 - Should You Do Kaggle Competitions? Are They Worth It?16:00 - Master’s vs. PhD in Data Science: Do You Really Need One?17:50 - Can You Get a Data Science Job with Just a Bachelor’s Degree?19:30 - How AI &amp; ChatGPT Are Changing Data Science Careers21:00 - Soft Skills You Need to Stand Out in Data Science22:30 - How to Land Your First Data Science Job23:30 - Dr. Gene Ray’s #1 Advice for Aspiring Data Scientists24:30 - Where to Connect with Dr. Gene Ray#DataScience #techcareers #MachineLearning</p>

83 total episodes available

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Frequently asked questions

Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.

What is TechGuide?

TechGuide was created with a simple mission in mind: Develop up-to-date, comprehensive, and easy-to-use informational resources for our readers.

This podcast is an extension of the TechGuide website, which contains degree and career overviews, career profiles, and other guides.

How often does this podcast release new episodes?

This podcast updates weekly.

Where can I listen to this podcast?

This podcast is available on 8 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.

Does this podcast accept guests?

Yes, this podcast regularly features guests.

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