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Learning Path

Data Analyst Career Track

Go from beginner to job-ready data analyst. Learn SQL, Excel, Tableau, and Python for data analysis.

4 Phases
0 Courses
3 Tools
16-24 weeks
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Perfect For You If:

You're a beginner or intermediate learner ready to commit

You want a structured, step-by-step roadmap

You can dedicate 5-10 hours per week to learning

You want to see real results within 16-24 weeks

Not Right For You If:

You're looking for a "get rich quick" scheme

You want results without putting in the work

You're already an expert in this field

You can't commit at least 5 hours per week

Quick Wins You'll Get
Early victories you'll achieve on this path
  • Create your first dashboard in 1 week
  • Complete a real data analysis project in 2 weeks
  • Build a portfolio that gets interviews
Beginner Mistakes to Avoid
Don't make these common errors that slow down progress

Skipping the fundamentals

Don't jump to advanced topics before mastering basics

Taking too many courses at once

Focus on one course at a time and complete it

Not building projects

Apply what you learn immediately with real projects

Giving up too early

Results take time—stick with it for at least 16-24 weeks

Your Step-by-Step Roadmap

Follow these phases in order. Don't skip ahead—each phase builds on the previous one.

Foundation (Weeks 1-3)
Excel & Data Fundamentals
Master Excel formulas, pivot tables, and basic data analysis

Action Steps:

  • 1.

    Complete Excel Skills for Business Specialization on Coursera

  • 2.

    Practice with real datasets from Kaggle (start with beginner datasets)

  • 3.

    Build 3 Excel dashboards using pivot tables and charts

  • 4.

    Learn VLOOKUP, INDEX-MATCH, and conditional formatting

✅ Complete all action steps before moving to Core Skills (Weeks 4-8)

Core Skills (Weeks 4-8)
SQL & Database Querying
Learn to extract and manipulate data from databases

Action Steps:

  • 1.

    Take Google Data Analytics course focusing on SQL modules

  • 2.

    Practice SQL queries on SQLZoo and HackerRank

  • 3.

    Complete 50+ SQL problems on LeetCode (Easy to Medium)

  • 4.

    Build a database project: analyze e-commerce sales data

✅ Complete all action steps before moving to Visualization (Weeks 9-12)

Visualization (Weeks 9-12)
Data Visualization & Dashboards
Create compelling visualizations and interactive dashboards

Action Steps:

  • 1.

    Learn Tableau Public through official tutorials

  • 2.

    Recreate 5 dashboards from Tableau Public gallery

  • 3.

    Build your own dashboard project with real data

  • 4.

    Learn data storytelling principles and best practices

✅ Complete all action steps before moving to Advanced (Weeks 13-16)

Advanced (Weeks 13-16)
Python for Data Analysis
Use Python for advanced data manipulation and analysis

Action Steps:

  • 1.

    Complete Python for Everybody course on Coursera

  • 2.

    Learn pandas, numpy, and matplotlib libraries

  • 3.

    Build 3 Python data analysis projects for your portfolio

  • 4.

    Create a Jupyter notebook analyzing a real-world dataset

What to Do After Completing This Path

Build a portfolio project showcasing your new skills

Apply for jobs or freelance projects in this field

Explore advanced courses to deepen your expertise

Join communities and network with other professionals

Required Tools
Tools you'll need for this path

Notion

SaaS

Zapier

Automation

Canva

SaaS
Ready to Start Your Journey?
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