Summary of "FREE Data Analyst Bootcamp!!"

Purpose and origin

Goals and principles

Recommended learning flow (curriculum)

  1. Intro / Orientation

    • Watch “How to become a data analyst in 2023” (overview video that explains the overall path).
  2. SQL (first major block)

    • SQL Basics → Intermediate → Advanced (currently taught using Microsoft SQL Server).
    • Plans to add a separate MySQL playlist and eventually replace or supplement SQL content.
  3. SQL projects (practice)

    • Data analyst portfolio project: SQL data exploration
    • Data cleaning project
  4. Excel

    • Full Excel series covering analyst-relevant Excel skills.
    • Excel project (full project to apply skills).
  5. Tableau

    • How to install and use Tableau → series → full Tableau project.
  6. Power BI

    • How to install and use Power BI → series → full Power BI project.
  7. Python

    • Python basics series → starter project(s).
    • Dedicated pandas playlist (data manipulation with Python).
    • Additional Python projects planned: web scraping, API pulls.
    • Planned playlists on regular expressions and more web scraping topics.
  8. Additional projects and consolidation

    • Web scraping project with Python.
    • API data pulls (using Python).
    • Other practical projects to add to your portfolio.
  9. Portfolio website

    • Tutorial on creating a free portfolio website to showcase projects from the boot camp.
  10. Resume & job search

    • Video on creating a data analyst resume (note: current resume video is ~2 years old and will be updated).
    • Practical, real LinkedIn-based job-hunting tips and methods to help you land interviews.
  11. Final certification

    • A final, hidden/last video explains how to get the boot camp certificate.

Certificate details

The certificate is provided on an honor system; learners are expected to complete the coursework before downloading and using the certificate.

Other practical notes

Speakers / sources

Category ?

Educational


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