Importing Data in Python (Part 1) Course

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This document is about a Python course titled "Importing Data in Python (Part 1)" by Antonio Martín Cachuán Alipázaga. The course teaches students how to import different types of data into Python programs for analysis and manipulation. Students will learn the fundamentals of importing CSV files, JSON data, XML documents and more into Python.

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Antonio Martín Cachuán Alipázaga
Importing Data in Python (Part 1) Course

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Presentation Goals: “What-to-do” “Testing-to-do” “How-to-do” “Who-does-it” Transferable Skills: Overview Transferable Skills: Sources Transferable Skills: Categories Transferable Skills: Goals Transferable Skills: Criteria Transferable Skills: Barriers FIRST UP: AI: What You Need to Know AI is Multi-Generational – kids with tablets to grannies with smart phones are on AI. AI Has Zero Barriers to Entry – so may AI tools are free. The AI Can Train You on How to Use It – imagine if a spreadsheet or word processor had done it AI Add-Ons: Apps, Search, Development – as AI cuts across every domain. AI Lifecycle: The idea appears. The invention is created. There is select access due to cost and who controls the invention. Then public access starts to take shape. Media Hype happens. News Reports come out. AI Adoption: The tech or software is labeled a fad. With time, it becomes a trend due to FOMO. Utility and use-cases come to those participating. Then the Next Generation of products come out. Final stage is it becomes mainstream (IE: the toaster in your kitchen). Innovation Invites Investigation: Review the news headlines on these inventions. The headlines spoke of the risks, the dangers and how civilization would crumble. Things like Leonardo da Vinci’s Flying machines, Distance writing (the telegraph), Speaking telegraph (the phone), Horseless carriage, Electric lamp, Word processing, Spreadsheets, Electronic mail, Wireless Telephone and social media. Dirk’s Demon to Toaster Cycle The idea that every demonized innovation or technology eventually becomes as ubiquitous as the lowly single-function bread toaster. Innovation Lifecycle Gartner© Hype-Curve is explained with examples for where I think AI currently fits on the curve. Beyond AI, there are Universal Options for Transferable Skills. Those include Budgets in general. This to seek out include Budget Management, Excel (Visualization, Report Automation), Accounting Software (Compliance), Profit and Loss (P&L) Responsibilities. Oral Communication skills for things like Streams, Video Meetings, Presentations, F2F Meetings, 1 on 1 Coaching, Team Mentoring. Written skills help across Emails, Reports, Online Content, Policies & procedures and Learning & Development (L&D). Negotiation is another transferable skills vertical anyone can focus. Find assignments (Work / Projects), managing Supplies (& Services), Pricing (Margins), Contract Terms (Legal Conditions). Mastering Browser Tools for any browser such as Chrome / Fire Fox / Edge. There are features for Data Collection, Formatting, Research, Keyword Highlighting, Audio Readers, Note Taking, Tab Management, and Grammar are sampling. Office 365 Skills for Word, PowerPoint, Excel, Teams, CoPilot, OneNote, OneDrive, Outlook are areas to skill up. Video tools such as Zoom / Teams / Webex Skills for Set Ups, Audio, Camera, Chat, File Sharing, Backgrounds, Filters (Make-Up), Lighting.

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