How to Become a Data Analyst in 2023

Jul 11, 2024

How to Become a Data Analyst in 2023

Introduction

  • Focus on helping you become a data analyst from scratch
  • Mention of the speaker's YouTube channel for detailed tutorials and playlists

Step 1: Learn Data Analyst Skills

  • SQL: Fundamental skill for querying and retrieving data from databases
    • Often used in technical interviews
    • Several free playlists on the speaker's channel
  • Business Intelligence (BI) Tools: Tableau or Power BI
    • Transferable skills across various BI tools
    • Combination with SQL is powerful
    • Entire series on speaker's channel
  • Excel: Important for data cleaning and visualization
    • Essential skill expected by every company
    • Dedicated playlist on speaker's channel
  • Python: For data manipulation, visualization, web scraping, and more
    • Can be hard to learn but very powerful
    • Series and projects available on speaker's channel
  • Cloud Platforms: AWS, Google Cloud, Azure
    • Increasingly important in data industry

Step 2: Resources for Learning

  • Speaker's YouTube Channel: Free tutorials
  • Udemy: Affordable courses on specific skills
    • Complete DIY data analyst curriculum for under $75
  • Coursera: More professional content but more expensive
    • Subscription model
  • DataCamp & DataQuest: Text-based, interactive learning
    • Gamified learning platforms

Step 3: Build Projects and Portfolio

  • Build projects to showcase your skills
  • Create a portfolio website to store and display projects
  • Benefits:
    • Helps land interviews
    • Provides concrete examples to discuss in interviews
  • No need for a portfolio, but highly beneficial

Step 4: Create a Data Analyst Resume

  • Include skills and projects prominently
  • Place relevant skills/projects above unrelated work experience/education

Step 5: Apply for Data Analyst Jobs

  • Application Strategies
    • Avoid blindly applying on job boards
    • Work with recruiters for better chances
  • Finding Recruiters
    • LinkedIn is highly effective
    • Speaker's recommendation video available

Step 6: Interview and Accept Job Offer

  • Follow through with interviews after applying
  • Accept a job offer when it comes

Estimated Timelines

  • Learning Skills: 3-4 months (SQL, BI tools, Excel), longer if including Python and cloud platforms
  • Building Projects/Portfolio: 3-6 weeks
  • Creating Resume: Under a week, longer if using professional services
  • Applying and Landing a Job: 1-6 months, average 2-4 months
  • Total Estimated Time: Around 6 months

Conclusion

  • Encouragement to start despite the potentially long process
  • Speaker took nearly a year to land first job without guidance
  • Channel can be a significant part of your journey