Road Map - Data Analyst

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📊 Ultimate Data Analyst Roadmap (2025)

Beginner → Intermediate → Advanced → Job-Ready Analyst

🟢 Stage 1: Foundations (Beginner Level)

Learn the basics of data, spreadsheets, and programming.

📘 Topics to Learn:

  • What is Data Analysis? Roles & Responsibilities

  • Types of Data: Structured vs Unstructured

  • Basics of Statistics:

    • Mean, Median, Mode, Standard Deviation, Variance

    • Correlation, Probability, Distribution

  • Introduction to Spreadsheets (Excel or Google Sheets)

  • Basic SQL (SELECT, WHERE, GROUP BY, JOIN)

  • Intro to Python for Data Analysis (or R)

🧰 Tools & IDEs:

  • Spreadsheet Tools: Microsoft Excel, Google Sheets

  • SQL Editors: MySQL Workbench, DB Browser for SQLite

  • IDE: Jupyter Notebook, VS Code, Google Colab

  • Languages: Python (Pandas, Numpy), R (optional)

🧪 Starter Projects:

  • Sales dashboard in Excel

  • Analyze CSV file using Pandas

  • SQL Queries on Movie Dataset

🟡 Stage 2: Core Data Analysis Skills

Focus on cleaning, manipulating, analyzing, and visualizing data.

📘 Topics to Learn:

  • Data Cleaning & Wrangling with Pandas

  • Exploratory Data Analysis (EDA)

  • Data Transformation: Merging, Aggregating, Pivoting

  • Data Visualization:

    • Matplotlib, Seaborn, Plotly, Excel Charts

  • Intermediate SQL:

    • Subqueries, Window Functions, CTEs

  • Business Metrics: KPIs, Funnels, Cohorts

🧰 Tools:

  • Python Libraries: Pandas, Numpy, Matplotlib, Seaborn, Plotly

  • SQL: PostgreSQL, MySQL

  • Dashboarding: Power BI, Google Data Studio, Tableau Public

🧪 Projects:

  • EDA on E-Commerce Dataset

  • Build Dashboard on Google Sheets/Power BI

  • SQL Analysis of Airbnb or Netflix data

🟠 Stage 3: Advanced Analytics

Use advanced tools, automation, and business context to build insights.

📘 Topics to Learn:

  • Advanced Excel Functions (INDEX-MATCH, Power Query, Pivot Tables)

  • Dashboard Automation

  • Time Series Analysis

  • A/B Testing, Hypothesis Testing

  • Correlation vs Causation

  • Introduction to Python Automation:

    • Web Scraping with BeautifulSoup

    • Scheduled Scripts

  • Basic Machine Learning for Analysts (optional):

    • Linear Regression, Clustering (KMeans)

🧰 Tools:

  • Visualization: Tableau, Power BI, Looker Studio

  • Automation: Python, Airflow (optional), Google Apps Script

  • Analytics: Google Analytics, Mixpanel, Amplitude

🧪 Projects:

  • Marketing Campaign Analysis (A/B Test)

  • Interactive Sales Dashboard in Power BI

  • Web Scraper for Competitor Price Analysis

🔵 Stage 4: Business Intelligence & Reporting

Create automated, real-time, and actionable insights for business stakeholders.

📘 Topics to Learn:

  • KPI Tracking & Storytelling with Data

  • Data Warehousing Concepts (ETL, Data Lakes, Star Schema)

  • Advanced SQL (Triggers, Stored Procedures)

  • Connecting BI Tools to Live Databases

  • Report Automation & Scheduling

  • Data Governance & Quality

🧰 Tools:

  • BI Tools: Tableau, Power BI, Looker Studio

  • Database: BigQuery, Redshift, Snowflake

  • Cloud Tools: Google Cloud, AWS Athena

🧪 Real-World Projects:

  • Business Revenue Dashboard (Power BI + SQL)

  • User Engagement Funnel Analysis

  • Operations Dashboard with Daily Alerts

📁 6–9 Month Learning Timeline

MonthFocus
1–2Excel, SQL, Statistics, Python Basics
3–4Pandas, EDA, Visualizations, Power BI
5–6Advanced Excel/SQL, A/B Testing, Dashboards
7–9Projects, Portfolio, Interview Prep

📚 Recommended Resources

Free:

Paid:

  • Udemy: “Data Analyst Bootcamp”, “SQL + Tableau”, “Excel to Power BI”

  • DataCamp: Python, SQL, Excel for Data Analysts

  • 365 Data Science Platform

💼 Career Preparation

TaskDescription
Build PortfolioProjects on GitHub + Dashboards on Tableau Public
CertificationsGoogle, IBM Data Analyst, Microsoft Power BI
LinkedIn ProfileShowcase dashboards, post data stories
Mock InterviewsPramp, Interviewing.io
Practice SQL DailyLeetCode, HackerRank

💡 Career Roles for Data Analysts
RoleFocus Area
Junior Data AnalystExcel, SQL, Reports
Data AnalystSQL, Dashboards, Business Metrics
Business AnalystDomain + Communication + Insights
Marketing AnalystCampaigns, A/B Testing, Attribution
Product AnalystFunnels, Retention, Growth KPIs
BI DeveloperDashboards, ETL, SQL Automation

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