📊 How to Become a Data Analyst in 2026 (Complete Roadmap) скачать в хорошем качестве

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

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? ⸻ 🧠 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 ⸻ 🔹 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 ⸻ 🔹 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 ⸻ 📈 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 ⸻ 🔹 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 ⸻ 🎯 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 ⸻ 📄 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 ⸻ 🔹 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 ⸻ ⚠️ WHAT TO STOP DOING IN 2026 ❌ Memorizing syntax without context ❌ Only watching tutorials ❌ Ignoring business impact ❌ Avoiding communication skills ⸻ 🚀 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.