Podcast Collection

📅 Daily – Tech News Updates (30-45 mins)

1. Hard Fork
2. The AI Daily Brief (AI Breakdown)
3. WSJ Tech News Briefing
4. WSJ What’s News
5. Tech Disruptors
6. Tech Life
7. TechCheck
8. AI Today Podcast
9. Machine Learning News

Monday – AI in Business & Industry Applications

1. AI in Financial Services
2. AI in Business Podcast
3. SuperData Science Podcast
4. AI Today Podcast
5. The StackOverflow Podcast
6. High Signal
7. Cognitive Revolutions

Tuesday – AI & Machine Learning Fundamentals

1. The Machine Learning Guide
2. TWIML AI Podcast
3. Machine Learning Street Talk
4. This Day in AI Podcast
5. Eye on AI
6. Last Week in AI
7. Mops community

Wednesday – Data Science & Engineering

1. Data Science at Home
2. Data Skeptic
3. DataBytes
4. Half Stack Data Science
5. DataTalks Club
6. Data Engineering Podcast

Thursday – Python, Coding & Software Development

1. Python Bytes
2. Python People
3. Talk Python To Me
4. Real Python
5. FreeCodeCamp

Friday – Research, Methodologies & Deep Learning

1. Research in Action
2. Social Research Method
3. Statistics Made Simple
4. Learning Bayesian Statistics
5. Complex Systems

Saturday – Analytics & Decision-Making

1. Practical AI
2. DataFrame
3. Analytics Power Hour
4. The Data Scientist Show
5. Analytics on Fire Podcast

Sunday – Personal Growth, Work & Motivation

1. Lenny’s Podcast
2. HBS Managing Future Work
3. Business English Podcast
4. Work Life with Adam Grant
5. Goal Digger

I just finished listening to a podcast and want to write a quick LinkedIn insight using my usual style.

Instructions:

• Use a short, direct tone—clear and conversational, like I’m talking to a peer.
• Avoid sounding like AI or using filler phrases.
• Keep the word count short enough to fit a single LinkedIn post.
• Maintain bold headings exactly as shown.
• The topic should tie into finance, data science, AI, technology, or career development.
• Look for the hashtag of the 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 [Title] with [Host/Guest] — 𝗘𝗽𝗶𝘀𝗼𝗱𝗲: [Episode Title], and tag it.

Structure:

𝗧𝗼𝗱𝗮𝘆'𝘀 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 𝗥𝗲𝗰𝗮𝗽🎙️

I just finished listening to this podcast:

𝗣𝗼𝗱𝗰𝗮𝘀𝘁 [Title] with [Host/Guest] - 𝗘𝗽𝗶𝘀𝗼𝗱𝗲: [Episode Title]

𝗗𝗮𝘁𝗲: [Insert Today’s Date]

𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆

[Write one clear, actionable insight from the episode.]

𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀:

[Briefly explain how it connects to real-world work in data, finance, or decision-making.]

𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 🧠

[Add your personal view. Could be something it made you rethink, how you’ll apply it, or a challenge it reminded you of.]

Follow up

To get the full insight, checkout the podcast!

#DataScience #Finance #MachineLearning #AI #CareerGrowth #TechLeadership #DecisionMaking

Prompt 1 – Heading and Intro

Write a bold, engaging LinkedIn post section titled:

“𝗧𝗼𝗱𝗮𝘆’𝘀 𝗣𝗼𝗱𝗰𝗮𝘀𝘁 𝗜𝗻𝘀𝗶𝗴𝗵𝘁 𝗥𝗲𝗰𝗮𝗽🎙️”

Then say:

Just completed this episode of 𝗣𝗼𝗱𝗰𝗮𝘀𝘁: [Insert Podcast Title] with [Host or Guest]

𝗘𝗽𝗶𝘀𝗼𝗱𝗲: [Insert Episode Title]

𝗗𝗮𝘁𝗲: [Insert Today’s Date]

Make it short, clear, and conversational.

⸻

Prompt 2 – Key Takeaway

Under a bold heading: “𝗞𝗲𝘆 𝗧𝗮𝗸𝗲𝗮𝘄𝗮𝘆”

Write one clear, concise insight from the episode.

Avoid fluff. Make it actionable or thought-provoking.

Relate it to data, finance, AI, or technology.

⸻

Prompt 3 – Why It Matters

Under a bold heading: “𝗪𝗵𝘆 𝗜𝘁 𝗠𝗮𝘁𝘁𝗲𝗿𝘀”

Briefly explain how the takeaway connects to real-world work—

especially in data science, financial decision-making, or tech careers.

Be concrete and professional.

⸻

Prompt 4 – Reflection

Under a bold heading: “𝗥𝗲𝗳𝗹𝗲𝗰𝘁𝗶𝗼𝗻 🧠”

Add a short personal thought—

something the insight made you rethink,

how you’ll apply it, or a challenge it reminded you of.

Keep it casual but thoughtful.

⸻

Prompt 5 – Wrap-up and Hashtags

End the post with this line:

“To get the full insight, check out the episode!”

Then add hashtags:

#DataScience #Finance #MachineLearning #AI #CareerGrowth #TechLeadership #DecisionMaking

and

#𝗣𝗼𝗱𝗰𝗮𝘀𝘁[InsertTitle] #𝗘𝗽𝗶𝘀𝗼𝗱𝗲[InsertEpisodeTitle]

Replace [InsertTitle] and [InsertEpisodeTitle] with proper formatting.