Becoming a Data Analyst in 2023

Introduction

• Video aimed at helping individuals become data analysts.
• Covers the entire process from beginner to job application.
• Author mentions own channel as a resource, with links to relevant videos.

Step 1: Learn Data Analyst Skills

• Core Skills to Start With:

  • SQL:
    • Fundamental for querying and retrieving data from databases.
    • Necessary for technical interviews.
    • Resources: Beginner to Advanced SQL playlists.
  • Business Intelligence Tools:
    • Tableau/Power BI:
      • Transferable skills to other BI tools.
      • SQL combined with BI skills is powerful.
      • Resources: Series on Tableau and Power BI.
  • Excel:
    • Importance: Cleaning data, building charts, and graphs.
    • Fundamental skill expected by companies.
    • Resources: Excel playlist for data analysis.
  • Python:
    • Versatile for data manipulation, visualization, web scraping.
    • Tougher to learn compared to SQL/BI tools.
    • Resources: Python series with projects.
  • Cloud Platforms (AWS, GCP, Azure):
    • Increasingly important in the industry.
    • Challenges if not used hands-on.

• Learning Resources:

  • Author’s channel (free tutorials).
  • Udemy:
    • Affordable courses (~$10-$15).
    • "DIY Data Analyst Curriculum" video for under $75.
  • Coursera:
    • Professional courses, more expensive ($59/month or $399/year).
  • DataCamp and DataQuest:
    • Text-based learning platforms.

Step 2: Build Projects

• Project Definition: Create tangible outputs using learned skills.
• Benefits:
  • Show potential employers practical skills.
  • Preparation for interview questions regarding tool usage.

Step 3: Build a Data Analyst Resume

• Important Elements:
  • Highlight skills and projects.
  • Work experience and education should be secondary if not related.
  • Focus on relevant data analytics skills rather than unrelated experience.

Step 4: Apply for Jobs

• Application Strategy:
  • Avoid blind applications on platforms like Glassdoor without strategy.
  • Work with recruiters, especially technical recruiters.
  • Use LinkedIn as a primary tool for connecting with recruiters.

Step 5: Interview and Accept Job Offers

• Process:
  • Apply, interview, and accept job offers.
  • Clarified as a step to ensure completeness.

Timeline

• Skill Acquisition: 3-4 months, possibly less without cloud and Python.
• Project Building: 3-6 weeks for 3-5 projects.
• Resume Creation: Less than a week, potentially 1-2 weeks with professional help.
• Job Application and Offer: 2-4 months on average.
• Total Timeframe: Approximately 6 months (could vary based on dedication and circumstances).

Conclusion

• Encouragement to pursue a data analyst career within the year.
• Personal anecdote: Author took approximately a year due to lack of guidance.
• Encouragement to utilize the author’s resources.

Note: For all resources and tutorials, refer to the author's channel. Like and subscribe for more content.