Automate 10 Hours a Week with Python Final
How to Automate 10 Hours a Week With Python | Excel in BI
Between 5 and 15 hours a week get lost to repetitive tasks — downloading files, copy-pasting between spreadsheets, cleaning data, and fixing broken Excel formulas. In this session, we show you how to reclaim that time using automation, with a focus on Python but covering no-code alternatives too. You'll see why Python is far more approachable than people think (especially now with AI tools writing most of the code for you), the mindset shift needed to spot what's worth automating, and a live, hands-on demo building and editing a real Python automation with AI assistance in VS Code.
WHAT YOU'LL LEARN
• Why "5-minute tasks" often quietly cost you hours of your day
• Why automation matters: 5–15 hours a week lost to repetitive work
• The mindset shift: listing tasks as must-do-yourself, delegate, or automate
• How to break a process into clear, sequential steps before automating it
• Why consistent, standardized inputs are critical for automation to work reliably
• A comparison of automation tools: Python, n8n, Power Automate, AI agents, and Perplexity
• A basic Python automation workflow: get data, transform, store, schedule
• Live demo: building and modifying a real Python script using AI (GitHub Copilot) in VS Code
• How to turn a manual, error-prone process into a fast, reliable, repeatable one
WHO THIS IS FOR
• Anyone who repeatedly downloads, cleans, and reformats the same data
• Excel users tired of broken formulas and manual copy-pasting
• Professionals curious about Python but intimidated by coding
• Analysts and business users looking to save real time with automation
WHY THIS MATTERS
Automation isn't just about speed — it's about consistency and freeing up your brain for higher-value work. A task that "only takes 5 minutes" often eats up hours once you account for interruptions, re-checking, and errors. With today's AI tools, you no longer need deep programming knowledge to build automations that run reliably in the background, every single day.
CHAPTERS
00:00 Welcome and introduction
01:09 Why Python is more approachable than ever
02:24 Today's offer: automate 10 hours a week
03:44 About the presenter
04:15 Upcoming webinars and events
05:46 A story: the "5-minute task" that takes hours
07:44 Why this matters: reclaiming your time
08:08 A realistic scenario of a task derailed
09:53 Why automation matters
10:24 Common time-wasters: copy-paste, broken formulas, manual updates
12:14 What automation really means today
13:39 Automation tool alternatives overview
13:46 n8n
14:34 Power Automate
14:51 Python
15:14 AI agents
16:26 Perplexity and LLM access
17:03 Which tool to start with
17:12 The 10-hour opportunity breakdown
17:53 The mindset: listing repetitive tasks
19:02 Breaking tasks into sequential steps
19:57 Why standardized inputs matter
21:12 Starting small
21:52 What we'll build today
22:15 A basic Python automation workflow
22:48 From manual to automated: the outcome
23:09 Feedback request
23:59 Practical demo begins
24:46 Introduction to VS Code
25:14 Walking through the Python script
26:22 Sample data source
27:08 Explaining the automation steps
28:20 Running the code for the first time
29:16 Reviewing the output files
30:39 Editing the automation with AI (GitHub Copilot)
31:16 Changing output format from CSV to Excel
32:49 Adjusting the date format with AI
34:18 Introducing n8n as a no-code alternative
34:41 Example: an automated LinkedIn content workflow
35:36 Recommended first step: build your own simple script
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