📊 How to Become a Data Analyst in 2026 (Complete Roadmap)

Описание: The data analyst role has changed permanently.

In this video, I break down exactly what skills, tools, and mindset you need in 2026 — and what you should stop wasting time on.

00:31 Section 1: What is a Data Analyst?
01:31 What Companies are not looking for in a data analyst?

02:20 Section 2: Key Skills required in a data analyst.

05:58 Section 3: AI in Data Analysis.
06:45 What AI cannot do?

07:34 Section 4: Step-by-Step guide on how to acquire the required skills.

11:04 Section 5: Money and how to get a job?


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🧠 CORE SKILLS & RESOURCES

🔹 SQL (MOST IMPORTANT SKILL)

You cannot be a data analyst without SQL.

Best SQL resources:
• Mode SQL Tutorial
https://mode.com/sql-tutorial/
• LeetCode SQL Problems
https://leetcode.com/problemset/datab...
• HackerRank SQL
https://www.hackerrank.com/domains/sql
• SQLZoo
https://sqlzoo.net/

Focus on:
JOINs, GROUP BY, Window Functions, CTEs

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🔹 Python (FOR DATA ANALYSIS)

Python is used for cleaning, analysis, and automation — not software engineering.

Best Python resources:
• DataCamp (Python for Data Analysts)
https://www.datacamp.com/
• Kaggle Learn (Pandas, NumPy)
https://www.kaggle.com/learn
• Real Python
https://realpython.com/

Focus on:
Pandas, NumPy, data cleaning, basic visualizations

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🔹 Excel (STILL REQUIRED IN 2026)

Excel is heavily used in real business environments.

Best Excel resources:
• Microsoft Learn – Excel
https://learn.microsoft.com/en-us/tra...
• ExcelJet
https://exceljet.net/

Must-know:
Pivot Tables, XLOOKUP, Power Query, logical formulas

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📈 DATA VISUALIZATION TOOLS

🔹 Tableau

Best Tableau resources:
• Tableau Free Training Videos
https://www.tableau.com/learn/training
• Tableau Public (build a portfolio)
https://public.tableau.com/

Learn to:
Build dashboards that answer business questions

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🔹 Power BI

Best Power BI resources:
• Microsoft Learn – Power BI
https://learn.microsoft.com/en-us/pow...
• Guy in a Cube (YouTube)
   / @guyinacube  

Focus on:
Data modeling, DAX basics, business KPIs

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🎯 INTERVIEW PREPARATION

Best interview prep platforms:
• Glassdoor Interview Questions
https://www.glassdoor.com/Interview/i...
• StrataScratch (SQL + case questions)
https://www.stratascratch.com/
• Interview Query
https://www.interviewquery.com/

Practice:
Explaining your thinking, not just getting the answer

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📄 RESUME & PORTFOLIO

🔹 Resume Resources
• Google Data Analytics Resume Guide
https://grow.google/certificates/data...
• Indeed Career Guide
https://www.indeed.com/career-advice

Resume rules:
Results are more important than tools
Numbers are more important than buzzwords
One page only

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🔹 Portfolio (NON-NEGOTIABLE)

Best platforms:
• GitHub
https://github.com/
• Kaggle
https://www.kaggle.com/
• Tableau Public
https://public.tableau.com/

Tip:
3–4 strong projects are more important than 10 weak ones

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⚠️ WHAT TO STOP DOING IN 2026

❌ Memorizing syntax without context
❌ Only watching tutorials
❌ Ignoring business impact
❌ Avoiding communication skills

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🚀 FINAL ADVICE

In 2026, data analysts are paid for insights, not tools.

If you can:
• Ask the right questions
• Clean messy data
• Explain results clearly

You will always be in demand.