Computer and Tech Tips For Non-Tech People

TOP 1%

Creator:

Burton Kelso, The Technology Expert

Technology

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Podcast data

Created By Burton Kelso, The Technology Expert

Podcast Status active

Started 28/06/2022

Latest Episode 18/04/2023

Release Period Episodic

Episodes 54

Partner Reviews 0

Language English

Frequency 168

Average Length 15 minutes and 34 seconds

Country United States

Global Rank TOP 1%

Description

I've compiled some of the best and most useful technology tricks that will help you get more from the devices you use daily. As computers and their related gadgets become more and more part of our everyday lives, I'm here to help you get the most out of your devices. My vision is to remove the frustrations and complexity of computers and technology and open people up to a world of new ideas, experiences, and opportunities. I love technology, I've read all of the manuals, and I'm serious about making technology fun. safe, and easy to use for everyone! Support this podcast: https://anchor.fm/burton-kelso/support
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Episodes
- #170571 - How to Protect Your Mobile Devices From Juice Jacking
  
  2 years ago
- #170572 - How to Unfriend People On Facebook, Linkedin, Instagram, Twitter and TikTok
  
  2 years ago
- #170573 - How To Clean & Take Better Care Of Your Tech Devices
  
  2 years ago
- #170574 - How To Perform An Automatic Backup of All Of Your Devices
  
  2 years ago
- #170575 - How To Protect Yourself From Screen Hacking
  
  2 years ago
Reviews
- There are no reviews yet
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Computer and Tech Tips For Non-Tech People

Computer and Tech Tips For Non-Tech People

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Podcast data

Description

Agent Outreach

Episodes

#170571 - How to Protect Your Mobile Devices From Juice Jacking

#170572 - How to Unfriend People On Facebook, Linkedin, Instagram, Twitter and TikTok

#170573 - How To Clean & Take Better Care Of Your Tech Devices

#170574 - How To Perform An Automatic Backup of All Of Your Devices

#170575 - How To Protect Yourself From Screen Hacking

Reviews

Podcasts like this

Wharton FinTech Podcast

Wharton FinTech Podcast

Data Stories

Data Stories

In Machines We Trust

In Machines We Trust

The Local Maximum

The Local Maximum

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