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A 12-Week Roadmap to Becoming a Data Analyst

Embarking on a journey to become a data analyst can be both exciting and challenging. Here’s a detailed week-by-week roadmap to guide you through the process over a 12-week period.

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Week 0: Research and Preparation

  • Goal: Protect yourself from scams and identify legitimate learning resources.
  • Action Items:
    • Research reputable instructors and learning platforms.
    • Join communities (e.g., LinkedIn groups, Discord servers) to gather insights.

Weeks 1-2: Excel and Core Skills

  • Goal: Master Excel basics and business math.
  • Action Items:
    • Learn basic formulas, pivot tables, and charting.
    • Study essential statistics (mean, median, standard deviation).
    • Create a professional LinkedIn profile using a provided checklist.

Weeks 3-4: BI Tools and SQL Basics

  • Goal: Learn a Business Intelligence tool and SQL fundamentals.
  • Action Items:
    • Choose between Power BI or Tableau and complete beginner projects.
    • Focus on SQL basics: relational databases, queries, and joins.
    • Use free resources like YouTube playlists for structured learning.

Weeks 5-6: Python and Presentation Skills

  • Goal: Optional Python skills and enhance presentation abilities.
  • Action Items:
    • Learn Python basics and introduction to pandas.
    • Practice presentation skills with resources like “How to Avoid Death by PowerPoint.”
    • Work on creating an ATS-compliant resume.

Weeks 7-8: Project Work and Portfolio Development

  • Goal: Build a portfolio and apply practical skills.
  • Action Items:
    • Participate in data analytics projects and resume challenges.
    • Create a portfolio website to showcase your work.

Weeks 9-10: Advanced SQL and Project Management

  • Goal: Deepen SQL knowledge and understand project management.
  • Action Items:
    • Practice advanced SQL queries and techniques.
    • Learn about agile project management methodologies (Scrum, Kanban).
    • Explore using ChatGPT for data-related tasks.
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Weeks 11-12: Interview Preparation and Job Application

  • Goal: Prepare for interviews and apply for roles.
  • Action Items:
    • Use resources like Data Lemur for SQL interview prep.
    • Participate in resume project challenges and LinkedIn posts.
    • Network and seek referrals through LinkedIn.

By following this roadmap, you’ll systematically build the skills and knowledge needed to become a proficient data analyst. Remember, consistency and practice are key to mastering these skills. Good luck on your journey! 🚀

Disclaimer : We try to ensure that the information we post on Noticedash.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.

Gulshan
Gulshanhttps://noticedash.com
Hi, I am Gulshan Yadav. I work at NoticeDash.com as a Chief Editor.

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