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BeginnerDatabase & Data

Data Analyst Roadmap

Transform data into actionable business insights

Duration
6-8 months
Job Demand
very high
Phases
6
Views
1373

About This Roadmap

Data Analysis is the foundation of data-driven decision making in modern businesses. As a data analyst, you will collect, process, and analyze data to uncover trends, patterns, and insights that drive business strategy. This comprehensive roadmap guides you through mastering SQL for data extraction, Excel for analysis, statistical methods, and visualization tools like Tableau and Power BI. You will learn to work with databases, create dashboards, perform A/B testing, and communicate findings to stakeholders. Data analysts are crucial across all industries - finance, healthcare, retail, technology, and more. The role requires analytical thinking, attention to detail, business acumen, and the ability to tell stories with data. Unlike data scientists who focus on predictive modeling, data analysts focus on descriptive and diagnostic analytics to answer business questions.

Prerequisites

  • Basic mathematics
  • Logical thinking
  • Business awareness
  • Curiosity about data

What You'll Learn

Master SQL queries
Analyze data with Excel
Create visualizations
Build dashboards
Perform statistical analysis
Communicate insights
Understand business metrics

Complete Learning Path

4-6 weeks

1
Excel Basics

Formulas, functions, formatting, shortcuts

2
Data Cleaning

Text functions, find & replace, data validation

3
Pivot Tables

Summarizing data, slicers, calculated fields

4
Charts & Graphs

Visualization types, best practices

8-10 weeks

1
SQL Basics

SELECT, WHERE, ORDER BY, LIMIT

2
Joins

INNER, LEFT, RIGHT, FULL joins

3
Aggregations

GROUP BY, COUNT, SUM, AVG, HAVING

4
Advanced SQL

Subqueries, CTEs, window functions

6-8 weeks

1
Descriptive Stats

Mean, median, mode, variance, percentiles

2
Probability

Distributions, sampling, confidence intervals

3
Hypothesis Testing

T-tests, chi-square, p-values

4
A/B Testing

Experiment design, statistical significance

6-8 weeks

1
Tableau

Connecting data, creating dashboards, calculations

2
Power BI

Data modeling, DAX, reports, sharing

3
Design Principles

Color theory, chart selection, storytelling

4
Dashboard Design

KPIs, interactivity, user experience

6-8 weeks

1
Python Basics

Variables, loops, functions, data structures

2
Pandas

DataFrames, data manipulation, groupby

3
Matplotlib/Seaborn

Plotting, customization, statistical plots

4
Jupyter Notebooks

Interactive analysis, documentation

4-6 weeks

1
Business Metrics

KPIs, revenue metrics, customer metrics

2
Data Storytelling

Presenting insights, stakeholder communication

3
ETL Basics

Data pipelines, data quality, automation

4
Real Projects

Build portfolio, case studies

Tools & Technologies

SQLExcelTableauPower BIPythonPandasGoogle AnalyticsGoogle SheetsRStatistics

Career Opportunities

  • Data Analyst
  • Business Analyst
  • Business Intelligence Analyst
  • Marketing Analyst
  • Financial Analyst
  • Operations Analyst

Expected Salary (India)

₹3-7 LPA (Entry)
₹7-15 LPA (Mid)
₹15-25 LPA (Senior)
₹25L+ (Lead)

Companies Hiring

DeloitteEYPwCKPMGAccentureFlipkartAmazonSwiggyZomatoPaytmCREDPhonePe

Ready to Start?

Follow this roadmap step-by-step and track your progress.

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